The Hechinger Report

Covering Innovation & Inequality in Education

PROOF POINTS: Why reading comprehension is deteriorating

Avatar photo

Share this:

  • Click to share on LinkedIn (Opens in new window)
  • Click to share on Pinterest (Opens in new window)
  • Click to share on Reddit (Opens in new window)
  • Click to share on WhatsApp (Opens in new window)
  • Click to email a link to a friend (Opens in new window)

The Hechinger Report is a national nonprofit newsroom that reports on one topic: education. Sign up for our  weekly newsletters  to get stories like this delivered directly to your inbox. Consider supporting our stories and becoming  a member  today.

essay on decreasing reading habits among students

Get important education news and analysis delivered straight to your inbox

  • Weekly Update
  • Future of Learning
  • Higher Education
  • Early Childhood
  • Proof Points

decline in reading

Before the pandemic, eighth graders’ reading comprehension declined substantially . Since then, scholars have been trying to figure out why their scores dropped so much between 2017 and 2019 on a highly regarded national test known as the National Assessment of Educational Progress or NAEP. 

Researchers at the American Institutes for Research, a nonprofit research organization, are digging into whether kids are reading less — perhaps distracted by their digital devices. The emerging answer is that yes, young teens seem to be reading less and enjoying reading less. But the decline in book reading might not be the main culprit in our national comprehension problem. And separate international studies of 15-year-olds and fourth graders indicate that eighth grade reading habits aren’t telling the whole story.

First, the numbers. In survey questions that accompany the NAEP test, eighth graders reported how much time they spent reading outside of school. The percentage of public school students who said they read 30 minutes or more a day, besides homework, declined by 4 percentage points from 53 percent in 2017 to 49 percent in 2019. These same young teens were also less likely to say they talked about books or went to the library. Positive attitudes about reading fell too. Eighth grade students were less likely to agree that reading was one of their favorite activities or that they enjoyed going to a bookstore.

At first, the declines in reading habits and attitudes seemed to fit together with the decline in reading scores and tell a simple story: those who read more scored higher. But when the researchers broke the data down by state, the neat correlation between reading and comprehension fell apart. There were some states, such as Mississippi, where students read less but scores didn’t drop. And in other states, such as Rhode Island, reading habits were more stable, but scores slid nonetheless. 

“It’s perplexing,” said Elena Forzani, an assistant professor of education at Boston University, in reaction to this reading data, which is still unpublished but was presented at two education conferences in April 2021. “We know that reading motivation causes kids to pick up books and read more. And the more and more you read, the better you get at it.”

Forzani, a reading specialist who was not involved in this analysis, wonders if current survey questions are out of step with our digital age and fail to capture all the new kinds of reading that young teens are doing every day. Perhaps reading posts on social media and clicking on article links in Google searches are useful types of reading too. Students might be learning new words and information and thinking critically about texts, boosting their comprehension skills in the same way that old-fashioned book reading does.

“If a kid just wants to sit and watch videos all the time, I wouldn’t want my kids doing that either,” Forzani said. “It’s a passive activity. But if they’re creating their own videos, that’s much more active and requires complex and critical cognitive processes. And I think that’s what matters more.”

Forzani said reading is “hugely important.” Her advice to parents is to allow kids to read whatever they want to, even if it’s “Captain Underpants” and you would rather an older child choose a more challenging book. “It’s always been the case that we want to let kids read whatever motivates them,” Forzani said, “because if they’re not motivated to read, nothing else is going to work.” 

Forzani thinks the slide in eighth grade test scores could be the result of the way that schools teach reading to struggling students. “We tend to take those kids and throw lower level instruction at them,” she said. “They get these rote phonics programs. It’s all focused on learning to read. They’re not having complex discussions about a text. At the same time, we’re also taking away science and history instruction where kids can develop knowledge and where they can put comprehension strategies into practice. We’re teaching kids to read in a content and motivational vacuum.” 

Forzani’s theory for why reading comprehension is deteriorating is compelling, especially since the steepest falls were among low-achieving students but it still needs to be backed up by research

The striking decline in students’ reading habits may be a relatively recent phenomenon in the United States. International data from prior years doesn’t reveal that American students are less enthusiastic about reading. 

Martin Hooper, a senior researcher at the American Institutes for Research who led the eighth grade reading study, has also been digging into reading habits around the world and he’s found an even earlier decrease in reading and reading attitudes in other countries. Between 2000 and 2018, fewer 15-year-olds reported reading for enjoyment in 31 out of 39 countries and jurisdictions surveyed by the Program in International Student Assessment (PISA), which also released its own report on reading habits in the digital age on May 4, 2021 . The  U.S. was one of the few exceptions, bucking the disappointing trend here. 

American fourth graders also didn’t show the same antipathy toward reading that their international counterparts did in surveys by the Progress in International Reading Literacy Study (PIRLS). Elsewhere around the world fourth graders had more negative attitudes about reading in 2016 than fourth graders did in 2001 in 13 out of 20 countries and jurisdictions. In this survey of elementary school children, parents had even more negative attitudes toward reading than their children. Parents reported reading less for enjoyment in 15 out of 18 countries and jurisdictions. “The apple doesn’t fall far from the tree,” said Hooper.

We’re all struggling.

This story about the  decline in reading  was written by Jill Barshay and produced by  The Hechinger Report , a nonprofit, independent news organization focused on inequality and innovation in education. Sign up for the  Hechinger newsletter .

Related articles

The Hechinger Report provides in-depth, fact-based, unbiased reporting on education that is free to all readers. But that doesn't mean it's free to produce. Our work keeps educators and the public informed about pressing issues at schools and on campuses throughout the country. We tell the whole story, even when the details are inconvenient. Help us keep doing that.

Join us today.

Jill Barshay SENIOR REPORTER

(212)... More by Jill Barshay

Letters to the Editor

At The Hechinger Report, we publish thoughtful letters from readers that contribute to the ongoing discussion about the education topics we cover. Please read our guidelines for more information. We will not consider letters that do not contain a full name and valid email address. You may submit news tips or ideas here without a full name, but not letters.

By submitting your name, you grant us permission to publish it with your letter. We will never publish your email address. You must fill out all fields to submit a letter.

Might there simply be a higher percentage of less intelligent students in the cohort?

This is a comment, not a letter. As a longtime advocate of phonics instruction as a critical technical component of a comprehensive literacy intervention—and the persistent difficulty of getting colleges of education and primary grades teachers on board with this—I think it’s a disservice to quote somebody with credentials in a well-known college of education seeming to slam phonics training. At the least, her comment could have been balanced with an aside citing research focusing on the relationship between early reading proficiency and success across the curriculum. Even Lucy Calkins, longtime holdout for balanced literacy has come to agree that phonics training should be included in early literacy education. A good vigorous discussion could be advanced with this piece: https://www.minnpost.com/education/2018/11/minnesota-educators-continue-to-grapple-with-one-of-the-most-critical-and-politicized-education-issues-reading-instruction/

World literacy rate = 56% in 1950; 76% in 1990. Progress since 2000, 82%, has been relatively slow.

Flynn Effect 1950-1990. Every subsequent new generation was 10 IQ points smarter than its predecessor. Flynn Effect stopped in 1990, now there are signs its gone into reverse

WHY? Top reason: technology. Computers, smart phones, watching TV makes people stupid.

PISA & the very wrong policy of focusing on raising test scores.

Also, policy makers refuse to use effective teaching methods. Sold research in the mid 20th C shows the optimal age for learning how to read is 9-11. Trying to get pre schoolers to read may be harmful in the long run. 1960s: Job Corp created the most effective remedial reading program in history. It is very cheap, and consumes no class time: A pile of soft porn novels in the back of every 11th & 12th grade classroom. Kids read like crazy. Try to one operating program. Raising test scores harms a nations future ability to compete in the world economy, yet policy makers defending this disastrous pogrom assert the reason for doing it is to improve national economic competitiveness in the future

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

Sign me up for the newsletter!

Submit a letter

essay on decreasing reading habits among students

ORIGINAL RESEARCH article

Relationships among students’ reading habits, study skills, and academic achievement in english at the secondary level.

\r\nNisar Abid*

  • 1 Department of Education, School of Social Sciences and Humanities, University of Management and Technology, Lahore, Pakistan
  • 2 Faculty of Education and Humanities, UNITAR International University, Petaling Jaya, Malaysia
  • 3 Faculty of Education, Umm Al-Qura University, Mecca, Saudi Arabia
  • 4 Department of English Language and Literature, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia

Introduction: Reading is an attempt to comprehend the writer’s message for personal growth and success in the relevant fields. Thus, psychologists consider it a multifaceted cognitive process of constructing meanings from texts. The present study was conducted to determine the relationships among students’ reading habits, study skills, and academic achievement in English at the secondary level in Punjab, Pakistan.

Methods: The ( n = 1614) students enrolled in the science section for the academic year 2019–2020 participated in this descriptive correlational survey, selected from 40 high schools in Lahore, Punjab, Pakistan, through a non-proportionate stratified random sampling technique. The Reading Habits Questionnaire (RHQ) and the Study Skills Scale (SSS) were used to collect data about students’ reading habits and study skills. At the same time, academic achievement was the students’ grades obtained in the ninth class in the subject of English that were determined by the Board of Intermediate and Secondary Education (BISE) Lahore in 2019. Students’ responses were analyzed through descriptive and inferential statistics.

Results: The results indicated that students have competent reading habits and study skills. The correlational findings showed a strong positive relationship among reading habits, study skills, and academic achievement in English, while moderate positive relationships between reading habits and academic achievement in English. However, regression analysis results were significant, while reading habits and study skills moderately predicted academic achievement.

Discussion: It is implicated that teachers should plan such assignments and tasks based on reflective thinking by considering the role of study skills in academic achievement. Moreover, teachers and school administrators could mutually create timetables for library lessons to build reading habits and study skills among learners.

1. Introduction

Knowledge gained through reading is vital for the cognitive, behavioral, and attitudinal development of learners ( He, 2014 ; Baffoe and Okae-Anti, 2020 ; Hassan et al., 2021 ) because it is a person’s ability to enhance information and comprehend the words effectively ( Sabbah, 2016 ; Al-Jarf, 2019 ). An individual reads for numerous reasons, i.e., knowledge development, recreation, joy, relaxation, and so on ( Whitten et al., 2016 ). However, Erguvan (2016) and Mirza et al. (2021) directed that reading is an active part of life that is not just about pleasure when needed. However, Chotitham and Wongwanich (2014) conjectured that reading helps to develop critical and judgmental thinking abilities used to solve problems by conceptualizing context. Hence, Erdem (2015) and Pretorius and Klapwijk (2016) quantified that reading is essential to success because it starts from the commencement of school and continues throughout the lifetime.

Fischer et al. (2015) , Oyewole (2017) , Al-Jarf (2019) recognized that the importance of reading in learning could not be ignored because it is an emancipatory tool that releases students’ academic frustration, ignorance, and destitution. Palani (2012) distinguished that reading is an instrument used to exchange information, while reading habit is an academic activity that enables students to benefit from reading materials. Therefore, Walia and Sinha (2014) specified that reading habits require complex skills, such as perceiving a message, skimming and scanning information, and understanding the context. Thus, compelling reading depends on readers’ behaviors, known as study skills that enable them to conceptualize the new knowledge effectively ( DiPerna and Elliott, 2000 ; Habibu and Ejembi, 2011 ; Gormley et al., 2018 ; Naqvi et al., 2018 ; Iheakanwa et al., 2021 ). While the effective study makes one narrate in their way using the stipulated meanings of the words and terms, the researchers take up for explanation and clarity ( Biyik et al., 2017 ).

According to the available literature, students’ reading habits and study skills have been of great importance for decades; while several deficiencies were found in previous studies, thus researchers considered few of them that are related to the study context. First, the researchers mainly focused on the influence of reading habits and study skills on academic achievement separately in Western countries ( Bhan and Gupta, 2010 ; Sabbah, 2016 ). A few addressed Eastern countries restricted to the university level ( Demir et al., 2012 ; Davarci, 2013 ; Dilshad et al., 2013 ; Erguvan, 2016 ; Alzahrani et al., 2018 ; Porkaew and Fongpaiboon, 2018 ; Thamarasseri, 2018 ; Ameyaw and Anto, 2019 ; Ehsan and Sultana, 2020 ; Tonka and Bakir, 2020 ; Mirza et al., 2021 ; Nguyen Thi Thu, 2022 ). However, students’ reading habits and study skills may be initiated from the school level enabling the individuals to grow in competence, comfort, and understanding of the audience. At the same time, previous researchers focused on university level students’ reading habits. Second, there are methodological identities that lead to dubious findings not confirming the influence of reading habits and study skills on academic achievement ( Goel, 2014 ; Lawrence, 2014 ; Quadir and Chen, 2015 ; Sherafat and Murthy, 2016 ; Ameyaw and Anto, 2018 ; Silverrajoo and Hassan, 2018 ; Balan et al., 2019 ; Hassan et al., 2021 ). In general, there is a scarcity of research aiming to determine the correlation between students’ reading habits and achievement through the role of study skills at any academic level. Finally, in Pakistan, few studies could explore reading habits as a singular variable of different groups of students ( Bajwa et al., 2011 ; Hussain and Munshi, 2011 ; Rasheed, 2012 ). Numerous researchers only examined the relationship between reading habits and academic achievement ( Bashir and Mattoo, 2012 ; Bibi et al., 2020 ; Ehsan and Sultana, 2020 ). Moreover, Fazal et al. (2012) only investigated the association between study skills and achievement. Thus, this research examines the relationship among students’ reading habits, study skills, and academic achievement in English as practiced at the secondary level in Lahore, Punjab, Pakistan.

Lahore is the capital of Pakistan’s Punjab province. In terms of population, this is the second largest city in Pakistan. It is located in the northeastern part of Pakistan’s Punjab province. Lahore is one of the most cosmopolitan cities in Pakistan and is home to various cultures, traditions, and customs. Specifically, it provides researchers with opportunities to contextualize perspectives in light of academic processes and ethics.

2. Literature review

2.1. reading habits.

Rosli et al. (2018) suggested that reading is an attempt to comprehend the writer’s message, while Alnahdi and Aftab (2020) stated that it is a gateway to all other information, which may lead to understanding the world outside the text. Hence, Al-Jarf (2021) and Dadzie (2008) asserted that reading is a multifaceted cognitive process of comprehending words written in a textual form that allows readers to enhance their knowledge for personal growth and academic success. Moreover, Ogeyik and Akyay (2009) ; Erguvan (2016) , Mirza et al. (2021) stated that reading is just a method of communication between the writer and the reader. Thus, Bhan and Gupta (2010) and Baron (2017) assumed that reading is the art of decoding and interpreting messages from various written materials such as books, magazines, journals, newspapers, dictionaries, encyclopedias, pamphlets, and diaries. Hassan et al. (2021) stated that reading habits influence reading materials, activities, time duration, place of reading, and reader motivation. In this study, reading habits are considered to be the students’ reading preferences, interest in reading, attitude toward reading, and reading problems during study at the secondary level.

2.2. Study skills

Study skills are the readers’ inclination toward organizing, highlighting, reviewing, reciting, and using devices, flashcards, etc. to comprehend new knowledge effectively ( DiPerna and Elliott, 2000 ; DiPerna, 2006 ; Rozalski, 2008 ; Madhavi et al., 2014 ; Sabbah, 2016 ). While reading habit is the frequency, a reader regularly reads ( Winne, 2013 ). Moreover, study skills are the students’ intellectual practices to process new information effectively and efficiently, while reading habits are considered a psychological trait of one’s personality ( Farrington et al., 2012 ; Pillai, 2012 ; Mansor et al., 2013 ; Shahidi et al., 2014 ; Ameyaw and Anto, 2018 ; Rosli et al., 2018 ). Thus, the concept of study skills is different from reading habits. This research defines study skills as secondary school students’ approaches to comprehending new knowledge.

2.3. Reading habits and academic achievement

Horbec (2012) and Singh (2011) determined a significant positive relationship between students’ reading habits and academic achievement. Hence, Issa et al. (2012) explored that students’ reading patterns vary and have a moderately significant influence on academic success, while Bashir and Mattoo (2012) examined that academic performance is dependent on the level of students’ study habits; thus, reading habits influence on future success, which was confirmed by Owusu-Acheaw and Larson (2014) through quantitative measures. Chotitham and Wongwanich (2014) found a moderate positive relationship between students’ study habits and achievement. However, Lawrence (2014) rejected the association between students’ academic achievement and study habits, and Goel (2014) confirmed that study habits do not influence academic performance. Therefore, Schwabe et al. (2015) , Quadir and Chen (2015) concluded through a quantitative correlational study that heavy reading habits significantly impact reading efficiency; the longer the reading time, the better the results. Malik and Parveen (2016) discovered significant differences in low- and high-academic achievers’ attitudes toward study habits. They determined that high achievers are more concentrated and exhibited better study habits, good time management skills, and punctuality compared to low achievers. In the meantime, Sherafat and Murthy (2016) directed that study habits facilitate learners toward higher achievement because of their significant connections with academic achievement. Consequently, Silverrajoo and Hassan (2018) revealed divergent findings that students’ reading methods have a negative and weak relationship with academic achievement.

Ameyaw and Anto (2018) recognized the importance of reading styles in students’ learning and found that reading styles affect students’ performance. Meanwhile, Alzahrani et al. (2018) verified that students’ reading styles significantly impact their performance. Dolmaz and Kaya (2019) discovered that students’ creative writing skills are affected by their reading styles. Moreover, Balan et al. (2019) determined that students’ purpose of reading significantly affected their performance, as Annamalai and Muniandy (2013) suggested that academic performance is based on students’ reading purpose. Hence, Whitten et al. (2016) and Fatiloro et al. (2017) discovered that reading habits significantly assist students in learning and enhancing their performance. Bibi et al. (2020) examined that students’ study habits were significantly positively associated with achievement. Ehsan and Sultana (2020) predicted that reading habits significantly increase students’ performance. Moreover, Hassan et al. (2021) found a significant correlation between secondary school students’ reading habits and their reading achievement and concluded that reading habits significantly contribute to academic achievement. Thus, Nguyen Thi Thu (2022) revealed that reading habits have a significant role in the development of students writing performance.

On the other hand, by designing a correlational study, Tonka and Bakir (2020) found a negative relationship between reading anxiety and reading habits. Thus, they concluded that reading anxiety plays a role in students’ performance and reading habits. Similarly, Alnahdi and Aftab (2020) found a significant negative association between study habits and academic stress, reading habits, and academic achievement. The researchers measured all the variables through a questionnaire consisting of four scales and 43 items.

2.4. Study skills and academic achievement

Nouhi et al. (2009) determined that study skills have a significant positive association with academic success measured through a closed-ended questionnaire confirmed by Awang and Sinnadurai (2011) through an experimental study. Meanwhile, Hassanbeigi et al. (2011) and Sabbah (2016) verified that study skills are critical for academic success because they positively correlate with academic achievement found through a descriptive correlational survey using a study skills scale. Hence, Fazal et al. (2012) suggested that higher academic achievers use a wide range of study skills than low achievers, while there was a weak correlation between study skills and academic success. Furthermore, Demir et al. (2012) revealed through an experimental study that students’ study skills had a considerable influence on performance which was also confirmed by Wernersbach et al. (2014) from an experimental study. In both of the studies, researchers measured study skills through closed-ended items. Moreover, they also discovered that study skills significantly impact students’ academic self-efficacy. Nonetheless, Tahamtani et al. (2017) and Naqvi et al. (2018) revealed a weak negative link between achievement and study habits through quantitative measures that were rejected by Gormley et al. (2018) , who found a significant positive impact of study skills on achievement.

Several gaps were found in already conducted studies; first, the researchers mainly focused on the influence of reading habits and study skills on academic achievement separately in Western countries, while few addressed this phenomenon in Eastern countries. However, the investigation was restricted to university level students. Second, methodological identities lead to dubious findings not confirming this phenomenon. Finally, in Pakistan, few studies could explore reading habits as a singular variable of different groups of students. At the same time, some researchers only examined the relationship between reading habits and academic achievement. Thus, this study aimed to develop our understanding of the relationship between students’ reading habits, study skills, and academic achievement in English.

2.5. Summary

Reading is an attempt to comprehend the writer’s message for personal growth and success. Thus, psychologists consider it a multifaceted cognitive process of constructing meaning from texts. Bhan and Gupta (2010) stated that reading is the art of decoding and interpreting messages from the content of the written material that is often carried out in magazines, journals, newspapers, books, dictionaries, encyclopedias, pamphlets, diaries, and so on. While reading habits are the degree to which a reader engages in reading while studying skills to gain knowledge. Reading habits assist students in learning more, whereas study skills encourage them to understand new information effectively. Both reading habits and study skills influence students’ academic performance.

Based on literature insights, the following hypotheses are formulated:

Hypothesis (H 1 ): A significant relationship exists between students’ reading habits and their academic achievement in English language comprehension .
Hypothesis (H 2 ): A significant relationship exists between stqudents’ study skills and their academic achievement in English language comprehension.

3.1. Design

A research design is comprised of numerous elements (i.e., research paradigm, research approach, research design, and data collection method that provide guidelines for carrying out the study ( Creswell and Clark, 2017 ; Myers, 2019 ), while a correlational research design is used to determine the relationship between two or more than two variables ( Cohen et al., 2018 ). Thus, a correlational research design of a quantitative approach (positivism paradigm) was used. At the same time, a cross-sectional survey method was applied to collect data about studied variables (i.e., reading habits, study skills, and academic achievement in English).

3.2. Sample

The sample comprised 10th-grade students enrolled in district Lahore’s public sector high schools for the academic year 2019–2020. The inclusion criteria were those students who enrolled in the science section only. During the data collection, the total number of active students in both sections (i.e., science and arts) of 10th grade was 36,847 enrolled at 334 high schools in district Lahore ( Government of Punjab [GOP], 2019 ). While in the science section, the active students were 17,028, considered an accessible population of this study. A total of 1,800 (900 boys and 900 girls) were selected from 40 high schools through a non-proportionate random sampling technique that was 10.57% of the accessible population, which shows the sample was normally distributed. Out of 1,800 selected students, 1,619 participated as respondents because 181 students had not passed the subject English in the ninth-grade annual examination conducted by the Board of Intermediate and Secondary Education (BISE) Lahore. Three students declined to participate in this survey, while two could not complete the questionnaires. Therefore, the final sample consisted of n = 1,614 secondary school students.

3.3. Instruments

Two instruments were used, i.e., the Reading Habits Questionnaire (RHQ) and Study Skills Scale (SSS), to collect data about students’ reading habits and study skills.

Reading Habits Questionnaire (RHQ): The researchers developed a paper and pencil student self-report RHQ based on Ajzen’s (1991) Theory of Planned Behavior (TPB) and the social-cognitive theory of self-regulated learning strategies ( Pintrich et al., 1993 ; Duncan and McKeachie, 2005 ; Duncan et al., 2007 ). Ajzen’s (1991) TPB suggests that socio-psychological characteristics of a person’s behavior, such as reading, influence reader proximal behaviors ( Stokmans, 1999 ; Miesen, 2003 ; Van Schooten et al., 2004 ), while the social-cognitive theory of self-regulating learning strategies suggested that students’ reading habits are meta-cognitively and behaviorally active in a student’s learning process to achieve goals ( Eccles and Wigfield, 2002 ). The classical test theory model was utilized to develop RHQ, which initially consisted of 44 closed-ended items. Each item was constructed on a 5-point Likert-type agreement scale ranging from 1 (strongly disagree) to 5 (strongly agree), which means developing level reading habits to advance level reading habits. However, content validity was ensured by five education and assessment experts to validate the content coverage, language appropriateness, and usability of RHQ at the secondary level. Moreover, a pilot study was conducted on 250 students selected purposively from the target population to confirm unidimensionality among items and scales through exploratory factor analyses (EFAs) using Statistical Package for Social Sciences (SPSS) Version 23 software. Four subscales of RHQ (i.e., preferences for reading, interest in reading, attitude toward reading, and reading problems) were constructed during EFA. In contrast, nine items (two to three from each subscale) were deleted because their factor loading values (λ) were less than 0.5. In an analysis of items, reliability was also determined through Cronbach’s alpha (α = 0.821) value which was statistically acceptable. Psychometric evidence shows that RHQ was reliable for determining students’ reading habits. Improved RHQ consisted of 35 items based on four subscales, i.e., preferences of reading (10 items), interest in reading (nine items), attitude toward reading (nine items), and reading problems (seven items).

Study Skills Scale (SSS): The researchers adopted the SSS from Academic Competence and Evaluation Scale, developed by DiPerna and Elliott in 2000. The validity, as well as reliability of SSS, was confirmed by numerous researchers ( Kettler et al., 2014 ; Strunk, 2014 ; Anthony and DiPerna, 2018 ) and concluded that SSS is a standardized scale to measure study skills. The SSS consisted of 11 items that were also constructed on a 5-point Likert-type frequency scale, ranging from 1 (never) to 5 (almost always) which means developing level to advance level skills ( DiPerna and Elliott, 2000 ). The SSS was also administered to 250 students to ensure reliability through Cronbach’s alpha tests and found a value of α = 0.874 that was suitable to measure study skills in the local context (Pakistan).

Academic Achievement: Students’ marks obtained in ninth grade in the subject of English were asked them that determined by the Board of Intermediate and Secondary Education (BISE) Lahore in 2019. Their obtained scores in the subject of English were considered an academic achievement of students.

3.4. Data collection and analysis

After getting consent from the district education administration officer, the researchers personally gained permission from the selected schools’ principals and class teachers for data collection. All the selected students were informed in their classes about the study purpose and given the right to withdraw from the study at any time before data analyses. RHQ and SSS administration occurred over 8 weeks during mid of the September to mid of November 2019 academic year. Before administering the instruments, participants were informed about the confidentiality procedures. Moreover, the researchers encouraged them to respond honestly and told them to write about their obtained marks in ninth grade in English. After collecting the questionnaires, the researchers quickly scanned the participants’ responses about missing answers, and the students were asked to complete the responses in the questionnaire. A total of 1,614 participants provided valuable responses about their reading habits and study skills. The response rate was 89.6%, acceptable in social sciences research for quantitative data. Students’ responses about reading habits and study skills were analyzed by applying descriptive statistics (i.e., mean, standard deviation, skewness, and kurtosis) and inferential statistics (i.e., Pearson r test and regression test) through SPSS version 25 software.

4.1. Descriptive statistics on students’ reading habits and study skills

The Kolmogorov–Smirnov test was used to check the normality of data. At the same time, the skewness and kurtosis values indicated that data were normally distributed because skewness and kurtosis were between –2 and + 2, which was suitable for parametric statistics ( George, 2011 ; Albers, 2017 ; Mishra et al., 2019 ). Table 1 indicates that students give more preferences to reading than their attitude toward reading, interest in reading, and reading problems as M = 4.13, SD = 0.486; M = 3.91, SD = 0.616; M = 3.68, SD = 0.676; and M = 3.57, SD = 0.813, respectively. Students also thought they were facing reading problems because English was not their native language as M = 3.68; SD = 0.813. Overall, results revealed that students have permissive and desired reading habits and study skills as M = 3.88, SD = 0.455 and M = 3.85, SD = 0.602.

www.frontiersin.org

Table 1. Descriptive statistics of reading habits and study skills.

4.2. Inferential statistics on students’ reading habits, study skills, and academic achievement in English

The Pearson product–moment correlation analysis was applied to test null hypotheses, i.e., whether there are significant relationships among students’ reading habits, study skills, and academic achievement in English.

4.3. Hypotheses testing

Refer to Table 2 for the intercorrelation of variables among reading habits subscales, overall reading habits, and study skills; there were moderate-to-high positive correlations among variables. For reading habits, study skills, and academic achievement in English, students’ reading habits were significantly and positively correlated as r = 0.314–0.721. A value of r = (±) 0.3–0.7 exhibits a moderate-to-high correlation between variables ( Akoglu, 2018 ; Schober et al., 2018 ). Results also reveal higher positive correlations between reading habits and study skills while moderate positive correlations between reading habits and academic achievement in English as r = 0.848 and 0.584, respectively. Moreover, there was a higher positive correlation between study skills and academic achievement in English as r = 0.721. Thus, it is revealed that students’ reading habits and study skills are positively associated with academic achievement in English.

www.frontiersin.org

Table 2. Intercorrelations matrix and relationships among students’ reading habits, study skills, and academic achievement in English.

Since the hypotheses “there is a significant relationship between students’ reading habits and academic achievement in English, and there is a significant relationship between students’ study skills and academic achievement in English” were accepted because moderate-to-strong positive relationships were found among students’ reading habits, study skills, and academic achievement in English.

A regression analysis was conducted to explore whether students’ reading habits and study skills predict academic achievement in English. Students’ reading habits and study skills served as independent variables, while students’ academic achievement in English served as dependent variables. The regression analysis results were significant. The unique individual predictor for students’ academic achievement in English interested in reading and attitude toward reading. These two sub-factors of reading habits significantly predicted 42 and 43% of the variance, respectively.

In contrast, the numeric regression does not considerably reveal the remaining two sub-factors (preferences of reading and reading problems). However, students’ reading habits accounted for 44% of the variance, and study skills accounted for 48% of the variance. Refer to Table 3 for unstandardized betas, standard errors, standardized betas, and adjusted R 2 . The independent variables in these analyses are moderately correlated and predict academic achievement because the variance inflation factor (VIF) estimation was below 5.0 in regression.

www.frontiersin.org

Table 3. Summary of regression analyses, with 95% confidence intervals, of students’ reading habits and study skills predicting academic achievement in English.

5. Discussion

Reading habit is a crucial aspect of creating a literate society because it helps to shape personality, develop creative and critical thinking abilities, and enhance knowledge ( Palani, 2012 ; Mansor et al., 2013 ; Fischer et al., 2015 ; Bano et al., 2018 ; Rosli et al., 2018 ; Al-Jarf, 2019 ; Wu et al., 2019 ; Hassan et al., 2021 ). At the same time, study skills are the readers’ strategies to process new information effectively ( Kuterbach, 2012 ; Anthony and DiPerna, 2018 ; Abid et al., 2021 ). Both reading habits and study skills are interdependent and influence students’ academic performance as well as future success ( Demir et al., 2012 ; Wernersbach et al., 2014 ; Tahamtani et al., 2017 ; Alzahrani et al., 2018 ; Ameyaw and Anto, 2018 ; Gormley et al., 2018 ; Balan et al., 2019 ; Dolmaz and Kaya, 2019 ; Ehsan and Sultana, 2020 ). Therefore, this study is designed to examine relationships among students’ reading habits, study skills, and academic achievement at the secondary level in Lahore, Pakistan. Lahore is one of the cosmopolitan cities of Pakistan and a hub of many cultures, traditions, and customs. Regarding the academic processes and ethics, it provides opportunities for researchers to contextualize the perspectives accordingly. Reading habits have been and are still being taught in schools, colleges, and universities through model reading by teachers, parents, or elders of the families. In addition, the reading and recitation of fold tales and poems get to gathers like at Pak Tea House, Lawrence Garden, Quaid-e-Azam Library, and so on, while formal schools books, extra reading exercises, and reading and writing competitions at the school level are prepared through a variety of book reading within the context of the particular objective. The results of normality tests indicated that the data were normality distributed and suitable to apply parametric statistics. The descriptive findings also showed that students have more preferences for reading than their attitude toward reading, interest in reading, and reading challenges. These results support the finding of numerous researchers (e.g., Pehlivan et al., 2010 ; Mansor et al., 2013 ; Owusu-Acheaw and Larson, 2014 ; Haliru et al., 2015 ; Erguvan, 2016 ; Krashen, 2016 ; Kulatunga, 2016 ; Loan and Shah, 2017 ; Ameyaw and Anto, 2018 ; Porkaew and Fongpaiboon, 2018 ; Mirza et al., 2021 ) who found that students give more preference to read academic content from textbooks and other reading materials (i.e., newspaper, storybooks, poetry, novel, magazines, cartoons, comics, sports, etc.). Rasheed (2012) determined that reading habits play a substantial essential role in developing positive attitudes toward reading. However, Maiyo and Siahi (2015) revealed that higher achievers had better reading habits than low achievers. Students prefer reading online because they can easily read content from the internet material in this technological age, so they prefer reading online ( Dollah et al., 2017 ). Thus, Molotja and Themane (2018) found that students’ reading habits may enhance through global reading strategies and problem-solving strategies. Moreover, it is found that students have competence in reading habits and study skills. These results are also in line with the findings of previous studies, e.g., Dadzie (2008) , Ogeyik and Akyay (2009) , Bhan and Gupta (2010) , and Issa et al. (2012) , and Sabbah (2016) revealed that the majority of the students read books to pass the exams that why they have good reading habits. Furthermore, it is determined that students also possess the competence level of study skills that confirmed the study conducted by numerous researchers (i.e., DiPerna, 2004 , 2006 ; Rozalski, 2008 ; Kuterbach, 2012 ; DuPaul and Stoner, 2014 ; Anthony and DiPerna, 2018 ; Abid et al., 2021 ).

Furthermore, researchers also concluded from correlational results that there were moderate-to-significant positive correlations among reading habits, study skills, and academic achievement in English. In the literature review, it is seen that these findings are consistent with the results of Singh (2011) , Horbec (2012) , Issa et al. (2012) , Sabbah (2016) , Ameyaw and Anto (2018) , Hassan et al. (2021) . They found a positive relationship between reading habits and academic achievement, while reading habits influence students’ academic performance. Moreover, some researchers determined a moderate relationship between reading habits and academic success (e.g., Chotitham and Wongwanich, 2014 ; Kutay, 2014 ; Owusu-Acheaw and Larson, 2014 ; Alzahrani et al., 2018 ; Adigun et al., 2021 ; Nguyen Thi Thu, 2022 ). Sherafat and Murthy (2016) directed that study habits facilitate learners toward higher achievement because of their significant connections with academic achievement, that confirmed by Bibi et al. (2020) . In contrast, few researchers found different results due to participants’ different selection procedures and contextual differences (i.e., purposive sample method, content, reading material, culture, etc.). For example, Lawrence (2014) ; Goel (2014) , Alnahdi and Aftab (2020) revealed no significant correlation between students’ academic achievement and study habits. At the same time, Silverrajoo and Hassan (2018) found that students’ reading styles have a negative, weak relationship with academic achievement. Findings regarding study skills: e.g., Nouhi et al. (2009) , Awang and Sinnadurai (2011) , Hassanbeigi et al. (2011) , Maiyo and Siahi (2015) , Gormley et al. (2018) revealed a significant positive connection between study skills and academic success, whereas Demir et al. (2012) and Wernersbach et al. (2014) found study skills have a considerable influence on performance that support the present study findings. However, few researchers found a negative correlation between study skills and academic performance ( Fazal et al., 2012 ; Tahamtani et al., 2017 ; Naqvi et al., 2018 ). Furthermore, researchers determined in this study students’ reading habits have positive correlations with study skills. Thus, reading habits and study skills directly correlate with their academic achievement in English. In addition, it is also revealed that reading habits and study skills moderately predict students’ academic achievement. Annamalai and Muniandy (2013) suggested that academic performance is based on students’ reading habits. Whitten et al. (2016) and Fatiloro et al. (2017) revealed that reading habits significantly help students learn more to enhance their academic performance. Ehsan and Sultana (2020) predicted that reading habits significantly improve students’ academic performance.

6. Conclusion

Reading habits and study skills differ in conceptual understanding. Reading habits are the degree to which readers regularly read, whereas study skills are the ability to comprehend new information effectively. Both reading and study habits influence students’ academic performance. It is concluded that the collected data were normally distributed. The descriptive findings about reading habit sub-constructs indicated that students give more preferences to reading than their attitude toward reading, interest in reading, and reading problems. Simultaneously, they have competent reading habits and study skills. Furthermore, it is found that there are moderate-to-strong positive correlations among reading habits, study skills, and academic achievement in English. Thus, it is concluded that reading habits and study skills directly correlate with academic achievement in English. In addition, it is also revealed that reading habits and study skills moderately predict students’ academic achievement.

7. Implications for practice

It is determined that students prefer reading to their attitude toward reading, interest in reading, and challenges and have competent reading habits and study skills. Thus, it is suggested that teachers plan such assignments and tasks based on reflective thinking ( Aslam et al., 2021 ), so students have to visit the school library to read more academic material to accomplish assigned tasks through extensive reading. Students’ reading habits and study skills have a moderate-to-strong connection with their academic achievement in English. So school administrations design a timetable by consulting with teachers, allowing students to spend at least an hour in the library regularly. In contrast, the library should have up-to-date reading material, exciting storybooks, and stock which attract students. In addition, parents can also engage their children in constant reading at home by providing related textbook materials and allowing them to watch educational television programs to gain the essence of reading habits and study skills.

8. Limitations and implications for future research

There are several limitations to this study. First, this study was conducted on secondary school students by selecting a sample from the Lahore district of Punjab, Pakistan. Therefore, future studies may include participants from other districts of Punjab and other provinces of Pakistan to increase the generalizability of results. Second, longitudinal studies are needed to explore the change in students reading habits and study skills over time. To enhance reading habits and study skills, interventional studies may build lifelong reading habits and study skills among learners to make a scholarly society. Last but not least, future researchers may explore parent’s role in developing their children’s reading habits and study skills by selecting participants from diverse populations. Cultural factors would affect students’ reading habits; thus, Pakistan’s unique culture should be considered a potential theoretical explanation in future.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. Written informed consent to participate in this study was provided by the participants or their legal guardian/next of kin.

Author contributions

NA presented the main idea and wrote the first draft of the manuscript. SA contributed to conducting the methodology. SA, AA, and TK were involved with the revisions and proofreading. All authors contributed to the article revisions and approved the submitted version.

Acknowledgments

The authors would like to thank the Deanship of Scientific Research at Umm Al-Qura University for supporting this study by Grant Code: 22UQU4280253DSR01.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Abid, N., Ali, R., and Akhter, M. (2021). Exploring gender-based difference towards academic enablers scales among secondary school students of Pakistan. Psychol. Sch. 58, 1380–1398. doi: 10.1002/pits.22538

CrossRef Full Text | Google Scholar

Adigun, I. O., Oyewusi, F. O., and Aramide, K. A. (2021). The impact of Covid-19 pandemic lockdown on reading engagement of selected secondary school students in Nigeria. Interdiscip. J. Educ. Res. 3, 45–55. doi: 10.51986/ijer-2021.vol3.01.05

Ajzen, I. (1991). The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50, 179–211. doi: 10.1016/0749-5978(91)90020-T

Akoglu, H. (2018). User’s guide to correlation coefficients. Turkish J. Emerg. Med. 18, 91–93. doi: 10.1016/j.tjem.2018.08.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Albers, M. J. (2017). Introduction to quantitative data analysis in the behavioral and social sciences. Hoboken, NJ: John Wiley & Sons, doi: 10.1002/9781119290384

Al-Jarf, R. (2021). Collaborative mobile ebook reading for struggling EFL college readers. IOSR J. Res. Method Educ. 11, 32–42.

Google Scholar

Al-Jarf, R. (2019). Quality in teaching reading to high school students. Eurasian Arabic Stud. 5, 36–62.

Alnahdi, A. S., and Aftab, M. (2020). Academic stress, study habits and academic achievement among university students in Jeddah[Special Issue]. Int. J. Psychosoc. Rehabil. 24, 97–104. doi: 10.37200/IJPR/V24SP1/PR201138

Alzahrani, S. S., Soo Park, Y., and Tekian, A. (2018). Study habits and academic achievement among medical students: A comparison between male and female subjects. Med. Teach. 40, 1–9. doi: 10.1080/0142159X.2018.1464650

Ameyaw, S. K., and Anto, S. K. (2018). Read or perish: Reading habits among students and its effect on academic performance: A case study of eastbank senior high school-accra. Libr. Philos. Pract. 1–23. Available online at: https://digitalcommons.unl.edu/libphilprac/1748

Ameyaw, S., and Anto, S. K. (2019). Gender variation in reading habits in schools in Moland: A case study of Asantekwaa SDA Junior High School. Eur. J. Educ. Stud. 6, 250–264. doi: 10.5281/zenodo.3473923

Annamalai, S., and Muniandy, B. (2013). Reading habit and attitude among Malaysian polytechnic students. Int. Online J. Educ. Sci. 5, 32–41.

Anthony, C. J., and DiPerna, J. C. (2018). Piloting a short form of the academic competence evaluation scales. Sch. Ment. Health 10, 314–321. doi: 10.1007/s12310-018-9254-7

Aslam, S., Hali, A. U., Zhang, B. H., and Saleem, A. (2021). The Teacher Education Program’s Impact on Preservice Teachers’ Reflective Thinking in Pakistan. Thousand Oaks, CA: Sage Open, doi: 10.1177/21582440211055724

Awang, M., and Sinnadurai, S. K. (2011). A study on the development of strategic tools in study orientation skills towards achieving academic excellence. J. Lang. Teach. Res. 2, 60–67. doi: 10.4304/jltr.2.1.60-67

Baffoe, G. A., and Okae-Anti, A. (2020). Reading habits of selected communication educators in Ghana. J. Educ. Pract. 11, 45–51.

Bajwa, N., Gujjar, A., Shaheen, G., and Ramzan, M. (2011). A comparative study of the study habits of the students from formal and non-formal systems of education in Pakistan. Int. J. Bus. Soc. Sci. 2, 175–186.

Balan, S., Katenga, J. E., and Simon, A. (2019). Reading habits and their influence on academic achievement among students at Asia pacific international university. Abstr. Proc. Int. Scholars Conf. 7, 1490–1516. doi: 10.35974/isc.v7i1.928

Bano, J., Jabeen, Z., and Qutoshi, S. B. (2018). Perceptions of teachers about the role of parents in developing reading habits of children to improve their academic performance in schools. J. Educ. Educ. Dev. 5, 42–59. doi: 10.22555/joeed.v5i1.1445

Baron, N. S. (2017). Reading in a digital age. Phi Delta Kappan 99, 15–20. doi: 10.1177/003172171773418

Bashir, I., and Mattoo, N. H. (2012). A study on study habits and academic performance among adolescents (14-19) years. Int. J. Soc. Sci. Tomorrow 1, 1–5.

Bhan, K. S., and Gupta, R. (2010). Study habits and academic achievement among the students belonging to scheduled caste and non-scheduled caste group. J. Appl. Res. Educ. 15, 1–9.

Bibi, A., Naseer, N., and Habib, Z. (2020). Study habits of students and academic achievement: A correlational study. Glob. Educ. Stud. Rev. 5, 114–122. doi: 10.31703/gesr.2020(V-III).12

Biyik, M. A., Erdogan, T., and Yildiz, M. (2017). The examining reading motivation of primary students in the terms of some variables. Int. J. Prog. Educ. 13, 31–49.

Chotitham, S., and Wongwanich, S. (2014). The reading attitude measurement for enhancing elementary school students’ achievement. Procedia Soc. Behav. Sci. 116, 3213–3217. doi: 10.1016/j.sbspro.2014.01.737

Cohen, L., Manion, L., and Morrison, K. (2018). Research methods in education , 8th Edn. Milton Park: Routledge.

Creswell, J. W., and Clark, V. L. P. (2017). Designing and conducting mixed methods research. Thousand Oaks, CA: Sage.

Dadzie, P. S. (2008). Reading for education: The roles of libraries. Ghana Libr. J. 20, 1–14. doi: 10.4314/glj.v20i1.33978

Davarci, N. (2013). An investigation on the evaluation of the relationship between the reading habits of 8th grade elementary school students and their habits of computer-internet usage [Unpublished master thesis]. Nigeria: University of Nigeria.

Demir, S., Kilinc, M., and Dogan, A. (2012). The effect of curriculum for developing efficient studying skills on academic achievements and studying skills of learners. Int. Electron. J. Elem. Educ. 4, 427–440.

Dilshad, M., Adnan, A., and Akram, A. (2013). Gender differences in reading habits of university students: An evidence from Pakistan. Pak. J. Soc. Sci. (PJSS) 33, 311–320.

DiPerna, J. C. (2004). Structural and concurrent validity evidence for the academic competence evaluation scales-college edition. J. Coll. Couns. 7, 64–72. doi: 10.1002/j.2161-1882.2004.tb00260.x

DiPerna, J. C. (2006). Academic enablers and student achievement: Implications for assessment and intervention services in the schools. Psychol. Sch. 43, 7–17. doi: 10.1002/pits.20125

DiPerna, J. C., and Elliott, S. N. (2000). Academic competence evaluation scales. Psychol. Corp. doi: 10.1037/t14965-000

Dollah, W. A. K. W., Fakeh, S. S. K. W., Kamal Rafedzi, E. R., Ibrahim, A., Rahim, H., Masron, M. Z. A., et al. (2017). Inculcating reading habits among secondary school students. J. Sci. Eng. Res. 4, 407–421.

Dolmaz, M., and Kaya, E. (2019). The effect of 7th grade students’ reading habits and their academic achievement in social studies and Turkish courses on their creative writing skills. Int. Online J. Educ. Sci. 11, 168–183. doi: 10.15345/iojes.2019.01.012

Duncan, G. J., Dowsett, C. J., Claessens, A., Magnuson, K., Huston, A. C., Klebanov, P., et al. (2007). School readiness and later achievement. Dev. Psychol. 43, 1428–1446. doi: 10.1037/0012-1649.43.6.1428

Duncan, T. G., and McKeachie, W. J. (2005). The making of the motivated strategies for learning questionnaire. Educ. Psychol. 40, 117–128. doi: 10.1207/s15326985ep4002_6

DuPaul, G. J., and Stoner, G. (2014). ADHD in the schools: Assessment and intervention strategies , 3rd Edn. New York, NY: Guilford Press.

Eccles, J. S., and Wigfield, A. (2002). Motivational beliefs, values, and goals. Ann. Rev. Psychol. 53, 109–132. doi: 10.1146/annurev.psych.53.100901.135153

Ehsan, T., and Sultana, N. (2020). Predicting the role of study habits in academic achievement: A study of university students in Punjab. Pak. J. Educ. 37, 95–112. doi: 10.30971/pje.v37i1.1410

Erdem, A. (2015). A research on reading habits of university students: Sample of Ankara University and Erciyes University. Procedia Soc. Behav. Sci. 174, 3983–3990. doi: 10.1016/j.sbspro.2015.01.1145

Erguvan, D. (2016). ’Students’ attitudes towards extensive and intensive reading and ‘instructors’ motivational strategies. Arab World Eng. J. (AWEJ) 7, 136–150.

Farrington, C. A., Roderick, M., Allensworth, E., Nagaoka, J., Keyes, T. S., Johnson, D. W., et al. (2012). Teaching adolescents to become learners. The role of noncognitive factors in shaping school performance: A critical literature review. Chicago, IL: University of Chicago Consortium on Chicago School Research.

Fatiloro, O. F., Adesola, O. A., Hameed, B. A., and Adewumi, O. M. (2017). A survey on the reading habits among colleges of education students in the information age. J. Educ. Pract. 8, 106–110.

Fazal, S., Hussain, S., Majoka, M. I., and Masood, S. (2012). The role of study skills in academic achievement of students: A closer focus on gender. Pak. J. Psychol. Res. 27, 37–51.

Fischer, L., Hilton, J., Robinson, T. J., and Wiley, D. A. (2015). A multi-institutional study of the impact of open textbook adoption on the learning outcomes of post-secondary students. J. Comput. High. Educ. 27, 159–172. doi: 10.1007/s12528-015-9101-x

George, D. (2011). SPSS for Windows step by step: A simple study guide and reference, 17.0 update , 10th Edn. London: Pearson Education.

Goel, U. (2014). Comparative study of study habits in relation to academic achievement of senior secondary school students. Gyanodaya J. Prog. Educ. 7, 18–25. doi: 10.5958/2229-4422.2014.00004.8

Gormley, M. J., Pinho, T., Pollack, B., Puzino, K., Franklin, M. K., Busch, C., et al. (2018). Impact of study skills and parent education on first-year GPA among college students with and without ADHD: A moderated mediation model. J. Atten. Disord. 22, 334–348. doi: 10.1177/1087054715594422

Government of Punjab [GOP] (2019). Census of school education department. Lahore: Government of Punjab.

Habibu, I., and Ejembi, S. (2011). The role of schools and public libraries in promoting reading habit among children and adolescents in Nigeria. Inf. Knowl. Manag. 1, 33-40.

Haliru, R. A., Abdulkarim, M., Mohammed, A. D., and Dangani, B. U. (2015). An assessment of reading habit among secondary school students in Kaduna metropolis. J. Hum. Soc. Sci. 20, 12–17.

Hassan, I., Latiff Azmi, M. N., Muhamad, S. N., and Abdullah, A. T. H. (2021). Reading habits and their correlation with reading achievement among ESL learners in selected Malaysian secondary schools. Arab World Eng. J. (AWEJ) 12, 385–399. doi: 10.24093/awej/vol12no3.27

Hassanbeigi, A., Askari, J., Nakhjavani, M., Shirkhoda, S., Barzegar, K., Mozayyan, M. R., et al. (2011). The relationship between study skills and academic performance of university students. Procedia Soc. Behav. Sci. 30, 1416–1424. doi: 10.1016/j.sbspro.2011.10.276

He, M. (2014). “Extensive reading and students’ academic achievement: A case study,” in Exploring EFL fluency in Asia , eds T. Muller, J. Adamson, P. S. Brown, and S. Herder (Berlin: Springer), 231–243. doi: 10.1057/9781137449405_14

Horbec, D. (2012). The link between reading and academic success. Eng. Aust. 47, 58–67.

Hussain, I., and Munshi, P. (2011). Identifying reading preferences of secondary school students. Creat. Educ. 2, 429–434. doi: 10.4236/ce.2011.25062

Iheakanwa, J. U., Obro, S., and Akpochafo, W. P. (2021). Reading ability, study habits and students’ academic performance in social studies. Libr. Philos. Pract. 1–21. Available online at: https://digitalcommons.unl.edu/libphilprac/5675

Issa, A. O., Aliyu, M. B., Akangbe, R. B., and Adedeji, A. F. (2012). Reading interests and habits of the federal polytechnic, OFFA, students. Int. J. Learn. Dev. 2, 470–486. doi: 10.5296/ijld.v2i1.1470

Kettler, R. J., Elliott, S. N., DiPerna, J. C., Bolt, D. M., Reiser, D., and Resurreccion, L. (2014). Student and teacher ratings of academic competence: An examination of cross-informant agreement. J. Appl. Sch. Psychol. 30, 338–354. doi: 10.1080/15377903.2014.950442

Krashen, S. (2016). “Compelling reading and problem-solving: The easy way (and the only way) to high levels of language, literacy, and life competence,” in Proceedings of the epoch making in english language teaching and learning twenty-fifth international symposium on english teaching, english teachers , Taipei, 115–125.

Kulatunga, R. K. (2016). A study on understanding the reading habits and library usage of under graduate students (2007/2008 batch) of Uva Wellassa University of Sri Lanka. [Unpublished doctoral dissertation]. Badulla: Uva Wellassa University of Sri Lanka.

Kutay, V. (2014). A survey of the reading habits of Turkish high school students and an examination of the efforts to encourage them to read [Doctoral dissertation]. Loughborough: Loughborough University.

Kuterbach, J. M. (2012). A model of academic enablers and academic performance among postsecondary learners [Unpublished doctoral dissertation]. Pennsylvania: Penn State University.

Lawrence, A. S. (2014). Relationship between study habits and academic achievement of higher secondary school students. Online Submission 4, 143–145. doi: 10.15373/2249555X/June2014/43

Loan, F. A., and Shah, R. (2017). Survey of the literature reading habits and preferences of adolescents: A study of a public school in India. Libr. Inform. Sci. Res. Electron. J. 27, 80–96.

Madhavi, S., Naidu, S., Krishnaveni, A., and Kiran, P. (2014). Study skills assessment among medical undergraduates-where they stand. J. Dent. Med. Sci. 13, 16–19. doi: 10.9790/0853-131031619

Maiyo, J., and Siahi, E. A. (2015). Study of the relationship between study habits and academic achievement of students: A case of Spicer Higher Secondary School, India. Int. J. Educ. Admin. Pol. Stud. 7, 134–141. doi: 10.5897/IJEAPS2015.0404

Malik, M., and Parveen, N. (2016). Study habits and academic achievement: A comparative analysis of the high and low academic achievers. Bahria J. Prof. Psychol. 15, 46–54.

Mansor, A. N., Rasul, M. S., Abd Rauf, R. A., and Koh, B. L. (2013). Developing and sustaining reading habit among teenagers. Asia Pac. Educ. Res. 22, 357–365. doi: 10.1007/s40299-012-0017-1

Miesen, H. W. J. M. (2003). Predicting and explaining literary reading: An application of the theory of planned behavior. Poetics 31, 189–212. doi: 10.1016/S0304-422X(03)00030-5

Mirza, Q., Pathan, H., Khatoon, S., and Hassan, A. (2021). Digital age and reading habits: Empirical evidence from Pakistani Engineering University. TESOL Int. J. 16, 210–231.

Mishra, P., Pandey, C. M., Singh, U., Gupta, A., Sahu, C., and Keshri, A. (2019). Descriptive statistics and normality tests for statistical data. Ann. Card. Anaesth. 22, 67–72. doi: 10.4103/aca.ACA_157_18

Molotja, T. W., and Themane, M. (2018). Enhancing learners’ reading habits through reading bags at secondary schools. Read. Writ. 9, 1–9. doi: 10.4102/rw.v9i1.185

Myers, M. D. (2019). Qualitative research in business and management. Thousand Oaks, CA: Sage.

Naqvi, S., Chikwa, G., Menon, U., and Al Kharusi, D. (2018). Study skills assessment among undergraduate students at a private university college in Oman. Mediterr. J. Soc. Sci. 9, 139–147. doi: 10.2478/mjss-2018-0034

Nguyen Thi Thu, H. (2022). The effects of reading habits on writing performance: A case study at Van Lang University. Int. J. TESOL Educ. 2, 105–133. doi: 10.54855/ijte.22247

Nouhi, E., Shakoori, A., and Nakhei, N. (2009). Study habits and skills, and academic achievement of students in Kerman University of medical sciences. J. Med. Educ. 12, 77–80. doi: 10.22037/jme.v1213,4.1249

Ogeyik, M. C., and Akyay, E. (2009). Investigating reading habits and preferences of student teachers at foreign language departments. Int. J. Lang. Soc. Cult. 28, 72–78.

Owusu-Acheaw, M., and Larson, A. G. (2014). Reading habits among students and its effect on academic performance: A study of students of Koforidua polytechnic. Libr. Philos. Pract. 1, 1–22.

Oyewole, O. (2017). Impact of poor reading culture among selected secondary school students in Owo local government area of Ondo state, Nigeria. Dev. Country Stud. 7, 88–101.

Palani, K. K. (2012). Promoting reading habits and creating a literate society. J. Arts Sci. Commerce 3, 90–94.

Pehlivan, A., Serin, O., and Serin, N. B. (2010). Determining reading interests and habits of candidate teachers (TRNC Sample). Procedia Soc. Behav. Sci. 9, 869–873. doi: 10.1016/j.sbspro.2010.12.251

Pillai, S. K. (2012). An empirical study on study habits of X standard students in Nagarkovil district. Res. Expo Int. Multidiscip. Res. J. 2, 15–27.

Pintrich, P. R., Smith, D. A., Garcia, T., and McKeachie, W. J. (1993). Reliability and predictive validity of the Motivated Strategies for Learning Questionnaire (MSLQ). Educ. Psychol. Meas. 53, 801–813. doi: 10.1177/0013164493053003024

Porkaew, K., and Fongpaiboon, A. (2018). Effects of extensive reading on Thai tertiary ‘students’ reading attitudes. Arab World Eng. J. (AWEJ) 9, 207–219. doi: 10.24093/awej/vol9no1.15

Pretorius, E. J., and Klapwijk, N. M. (2016). Reading comprehension in South African schools: Are teachers getting it, and getting it right? Per Linguam 32, 1–20. doi: 10.5785/32-1-627

Quadir, B., and Chen, N. S. (2015). The effects of reading and writing habits on learning performance in a blog learning environment. Asia Pac. Educ. Res. 24, 635–644. doi: 10.1007/s40299-014-0210-5

Rasheed, S. (2012). ’ Children’s reading habits: A study of Lahore city. Pak. J. Inform. Manag. Libr. 5, 412–437.

Rosli, N. A., Razali, N. F., Zamil, Z. U. A., Noor, S. N. F. M., and Baharuddin, M. F. (2018). The determination of reading habits among students: A concept. Int. J. Acad. Res. Bus. Soc. Sci. 7, 791–798. doi: 10.6007/IJARBSS/v7-i12/3710

Rozalski, M. E. (2008). Practice, practice, practice: How to improve students’ study skills. Beyond Behav. 17, 17–23.

Sabbah, S. (2016). The effect of study habits on English language achievement. Arab World Eng. J. (AWEJ) 7, 238–257.

Schober, P., Boer, C., and Schwarte, L. A. (2018). Correlation coefficients: appropriate use and interpretation. Anesth. Analg. 126, 1763–1768. doi: 10.1213/ANE.0000000000002864

Schwabe, F., McElvany, N., and Trendtel, M. (2015). The school age gender gap in reading achievement: Examining the influences of item format and intrinsic reading motivation. Read. Res. Q. 50, 219–232. doi: 10.1002/rrq.92

Shahidi, F., Dowlatkhah, H. R., Avand, A., Musavi, S. R., and Mohammadi, E. (2014). A study on the quality of study skills of newly-admitted students of Fasa University of Medical Sciences. J. Adv. Med. Educ. Prof. 2, 45–50.

Sherafat, R., and Murthy, C. V. (2016). A study of study habits and academic achievement among secondary and senior secondary school students of Mysore city. Int. J. Indian Psychol. 3, 161–170. doi: 10.25215/0302.055

Silverrajoo, P., and Hassan, A. (2018). Relationship between study habits and academic achievement among health science students. Int. J. Acad. Res. Bus. Soc. Sci. 8, 763–780. doi: 10.6007/IJARBSS/v8-i7/4418

Singh, Y. G. (2011). Academic achievement and study habits of higher secondary students. Int. Ref. Res. J. 3, 27–42.

Stokmans, M. J. W. (1999). Reading attitude and its effect on leisure time reading. Poetics 26, 245–261. doi: 10.1016/S0304-422X(99)00005-4

Strunk, T. A. (2014). An exploration of the relationships between academic enablers and middle school achievement [Unpublished doctoral dissertation]. Pennsylvania: Penn State University.

Tahamtani, T., Jalil, K., Hosseini, M., and SoltaniArabshahi, K. (2017). Correlation of study habits with academic achievement among students attending the national medical science Olympiad. J. Adv. Med. Educ. 3, 19–23.

Thamarasseri, I. (2018). Cognitive styles, study habits and academic achievement of students of Central University of Kashmir. Stud. Home and Commun. Sci. 12, 9–20. doi: 10.31901/24566780.2018/12.1-2.335

Tonka, H., and Bakir, S. (2020). The examination of the relationship between the secondary school students’ habit of reading and their reading anxiety. J. Educ. Issues 6, 293–313. doi: 10.5296/jei.v6i1.16986

Van Schooten, E., De Glopper, K., and Stoel, R. D. (2004). Development of attitude toward reading adolescent literature and literary reading behavior. Poetics 32, 343–386. doi: 10.1016/j.poetic.2004.07.001

Walia, P. K., and Sinha, N. (2014). Changing trend in reading habits of teenagers in Delhi: An impact assessment of demographic and environmental variables. Libr Rev. 63, 125–137. doi: 10.1108/LR-03-2013-0038

Wernersbach, B. M., Crowley, S. L., Bates, S. C., and Rosenthal, C. (2014). Study skills course impact on academic self-efficacy. J. Dev. Educ. 37, 14–33.

Whitten, C., Labby, S., and Sullivan, S. L. (2016). The impact of pleasure reading on academic success. J. Multidiscip. Grad. Res. 2, 48–64.

Winne, P. H. (2013). “Learning strategies, study skills, and self-regulated learning in postsecondary education,” in Higher education: Handbook of theory and research , ed. M. Paulsen (Berlin: Springer), 377–403. doi: 10.1007/978-94-007-5836-0_8

Wu, L., Valcke, M., and Van Keer, H. (2019). Factors associated with reading comprehension of secondary school students. Educ. Sci. Theory Pract. 19, 34–47. doi: 10.12738/estp.2019.4.003

Keywords : reading, reading habits, study skills, academic achievement, secondary school students

Citation: Abid N, Aslam S, Alghamdi AA and Kumar T (2023) Relationships among students’ reading habits, study skills, and academic achievement in English at the secondary level. Front. Psychol. 14:1020269. doi: 10.3389/fpsyg.2023.1020269

Received: 16 August 2022; Accepted: 09 January 2023; Published: 27 January 2023.

Reviewed by:

Copyright © 2023 Abid, Aslam, Alghamdi and Kumar. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

www.frontiersin.org

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Stanford University

Along with Stanford news and stories, show me:

  • Student information
  • Faculty/Staff information

We want to provide announcements, events, leadership messages and resources that are relevant to you. Your selection is stored in a browser cookie which you can remove at any time using “Clear all personalization” below.

A study by researchers at Stanford Graduate School of Education (GSE) provides new evidence about the pandemic’s impact on learning among students in the earliest grades, showing distinct changes in the growth of basic reading skills during different time periods over the past year.

Ben Domingue (Image credit: Courtesy Graduate School of Education)

Results from a reading assessment given to first- through fourth-graders nationwide show that the students’ development of oral reading fluency – the ability to quickly and accurately read aloud – largely stopped in spring 2020 after the abrupt school closures brought on by COVID-19. Gains in these skills were stronger in fall 2020, but not enough to recoup the loss students experienced in the spring.

“It seems that these students, in general, didn’t develop any reading skills during the spring – growth stalled when schooling was interrupted and remained stagnant through the summer,” said Ben Domingue , an assistant professor at Stanford GSE and first author on the study , which was released by Policy Analysis for California Education (PACE), a nonpartisan research network housed at Stanford.

“It picked up in the fall, which is a testament to the work that educators did in preparing for the new school year and their creativity in coming up with ways to teach,” Domingue said. “But that growth was not robust enough to make up for the gaps from the spring.”

Second- and third-graders were most affected, the study found. Overall, students’ reading fluency in second and third grade is now approximately 30 percent behind what would be expected in a typical year.

Reading fluency is fundamental for academic development more broadly, the researchers said, because problems with this skill can interfere with students’ ability to learn other subjects as they make their way through later grades.

“Reading is kind of a gateway to the development of academic skills across all disciplines,” said Domingue. “It’s a key that opens all of the doors. If a kid can’t read effectively by third grade or so, they’re unlikely to be able to access content in their other courses.”

Measuring periodically, not annually

The new study differs from previous research on COVID-19 learning loss in that students’ skills were measured periodically throughout the year, making it possible to assess growth at different stages of the pandemic.

“Most studies on learning loss so far have looked at fall-to-fall changes to show how students have been affected by COVID,” said Domingue. “But just measuring the cumulative effect doesn’t help us understand what was going on between those two time points. There were a lot of changes in what school looked like during different periods between those two points, and it seemed likely there would be some differences in the patterns of learning.”

The study’s focus on students in early elementary grades also distinguishes it from others on learning growth and loss, which typically look at the impact on students in grades 3 through 8 – the ages most often included in annual standardized exams and other routine assessments.

A fundamental skill

The findings were based on data generated by an oral assessment measuring reading fluency in more than 100 school districts nationwide. The reading assessment used in the study takes only a few minutes, and though normally administered in a classroom, it was also conducted remotely during the pandemic. Students were recorded while reading aloud from a device, and their score was based on a combination of human transcription and speech recognition.

The researchers examined trends in the students’ long-run growth back to 2018, observing fairly steady growth until the onset of the pandemic in the spring of 2020. The trajectory flattened at that point and remained flat throughout the summer, indicating that children’s reading abilities had stopped. “It was flat in an absolute sense, not just relative to years past,” said Domingue.

Growth resumed in the fall at levels similar to what the researchers saw before the pandemic. But those gains weren’t enough to make up for the ground lost earlier in the year.

The researchers also observed inequitable impact: Students in historically lower-achieving districts (based on data from the Stanford Education Data Archive ) developed reading skills at a slower rate than those in higher-achieving ones. Schools that typically score low on annual standardized tests often serve a greater share of low-income and minority students – populations disproportionately affected by the pandemic in ways that impinge on their readiness to learn, including lack of access to computers, reliable internet access or a parent at home.

“It’s quite likely that lower-achieving schools are dealing with a whole battery of problems that educators in more affluent districts aren’t facing,” said Domingue. “But there was still growth. The teachers were probably moving heaven and earth to help their kids learn to read, and it’s reflected in the gains. But it’s important to recognize the differential impact on students.”

The researchers also found that about 10 percent of students who were tested before the pandemic were not observed in fall 2020. It’s not clear why they were missing, but the researchers suggest that if these students had trouble accessing the assessment remotely, they may be less engaged with school overall and could be falling even further behind than students who were tested.

The researchers caution that, while their analysis provides important evidence on learning loss in the early grades, it doesn’t include information about whether students attended school in person, remotely or in some hybrid form.

They also note that their findings should not be applied to other academic subjects, largely because of the focus on reading in the early grades and the likelihood that it was a centerpiece of many schools’ instruction for the fall of 2020.

While the full extent of COVID-19’s impact on learning won’t be clear for months or even years, this study provides evidence that – after the initial shock of the pandemic –educators found ways to teach and assess young students’ reading skills. And even in the midst of continued uncertainty and disruption, these students were able to achieve gains in the fall similar to pre-pandemic times.

“We can build on this research by identifying practices that accelerate learning for students who’ve fallen behind, and by making sure schools have the resources they need,” said Heather Hough, executive director of PACE and coauthor of the study. “These findings are worrisome, but they do not need to be catastrophic.”

Other co-authors on the study include Jason Yeatman , an assistant professor at Stanford GSE and the School of Medicine and David Lang, a GSE doctoral student.

Media Contacts

Carrie Spector, Stanford Graduate School of Education: (650) 724-7384; [email protected]

U.S. flag

An official website of the United States government

The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

  • Publications
  • Account settings

Preview improvements coming to the PMC website in October 2024. Learn More or Try it out now .

  • Advanced Search
  • Journal List
  • Front Psychol

Study on factors influencing college students’ digital academic reading behavior

Liyan chang.

1 School of Information Management, Nanjing University, Nanjing, China

2 School of Management, Nanjing University of Posts and Telecommunications, Nanjing, China

Xinyao Zhang

Associated data.

The original contributions presented in the study are included in the article/ Supplementary material , further inquiries can be directed to the corresponding author.

Affected by the COVID-19, many colleges have adopted online teaching. Meanwhile, the digital transformation of academic journals has shifted readers’ reading habits from traditional paper media to digital media. Digital academic reading has become the main reading method of college students during the COVID-19 pandemic.

The purpose of this study was to investigate the behavioral characteristics of college students’ digital academic reading and explore the internal factors and external environmental factors affecting the Intention and Use behavior of digital academic reading. At the same time this study provide recommendations to address these influencing factors in terms of the individual, the environment and library resources.

Based on UTAUT2 model and digital academic reading theories, this paper constructs a digital academic reading information behavior (DARB) model of college students to examine college students’ digital academic reading behavior and intention. College students with digital academic reading behavior were recruited as research participants. A multi-stage sampling technique was used to collect representative samples from universities in Nanjing. 239 respondents participated in the questionnaire, with 189 providing valid data. Results: Effort expectancy (EE), social influence (SI), price value (PV), perceived risk (PR) and habit (BH) have a significant impact on behavioral intention (BI), and behavioral intention (BI) and habit (BH) have a significant impact on use behavior (B). However, performance expectancy (PE) and facilitating conditions (FC) have no significant influence on behavioral intention (BI).

Originality/value

The findings of this study will help fill the gap in previous research on the relationship between the influencing factors of digital academic reading and college students’ reading intentions and behaviors, so as to provide a basis for improving the academic reading literacy program in colleges and optimizing the current digital academic reading environment.

1. Introduction

Academic reading is the manifestation of academic literacy and an important behavior to obtain academic resources and promote academic communication. In the process of university construction toward a higher level, improving the comprehensive quality of college students and cultivating their academic literacy are the basis for building high-quality universities and cultivate first-class talents. The arrival of the COVID-19 in 2019 and the implementation of epidemic prevention measures (such as home quarantine and the suspension of all educational institutions) have brought about unexpected changes in academic reading habits of college students. Many colleges have adopted online teaching during the COVID-19 pandemic, and college students have got accustomed to online learning ( Maria and arios, 2022 ). Meanwhile, the advent of Internet plus era and the digital transformation of academic journals have changed the behavioral characteristics of college students’ reading ( Sun et al., 2021 ). Digital academic resources have become an important source of academic reading for college students ( Peng, 2017 ), and social networks have also become an important academic information sharing channel for them ( Yang, 2019 ), digital academic reading has become the main reading method of college students during the COVID-19 pandemic. While university students are gaining a new digital reading experience, many problems have been revealed, such as the fragmentation and simplification of the use of digital reading, “addiction” and the prevalence of “information loss” ( Gong et al., 2020 ). College students are the main group of digital academic reading and it is of significance to pay attention to the influencing factors of their digital academic reading behavior. Therefore, based on the UTAUT2 model, UTAUT model and TAM model, this paper expands, modifies and adds some factors specific to the academic reading environment, such as perceived risk, and constructs the digital academic reading information behavior (DACB) model of college students. The study analyzes the key factors affecting digital academic reading behavior through structural equation model, to provide a basis for schools to develop digital academic reading intervention strategies (e.g., increasing the price value of academic reading), to develop students’ academic reading literacy and to optimize the current digital academic reading environment.

2. Literature review

2.1. definition of digital academic reading.

“Academic reading” has been around for years and has been adopted by a variety of researchers. Ananda and Zhang (1987) put forward the concept of academic reading and first believed that it was a curriculum and an information behavior carried out by people in scientific research. Compared with traditional reading, digital reading is a new concept, which is similar to the concepts of electronic reading, online reading, virtual reading, ubiquitous reading and so on. Academic reading is a purposeful and critical reading, unlike idle reading completely based on personal preferences. Since then, some researchers have proposed different concepts of digital reading and academic reading, respectively. This paper integrates these two concepts to define digital academic reading.

According to the definition of the two concepts in existing studies, digital academic reading refers to a reading activity in which readers obtain information from professional books, academic papers, international conference papers and other academic documents and information content on academic forums with the help of digital carriers such as mobile phones, tablets, computers and other electronic products Table 1 .

Conceptual overview of digital reading and academic reading.

2.2. Development of digital academic reading

Academic Reading is a process of extracting and constructing meaning through interaction with written language ( Kirby, 2003 ). And it helps students to seek specialized knowledge, access academic information, conduct academic exchanges, and finish their studies. Both college students and teachers believe that academic reading is very important ( Howard et al., 2018 ; Gorzycki et al., 2020 ). However, nearly 60 percent of freshmen find that they are not academically prepared for higher education. Some countries and institutions have established a variety of assessment projects to determine students’ academic reading ability, such as NAAL (National Assessment of Adult Literacy), SAT (Scholastic Aptitude Test), ACT (American College Testing Programs) and so on. In multiple tests, approximately half of the students met the reading benchmark required by the college. Therefore, many researchers have conducted in-depth research on college students’ academic reading ability, attitudes, strategies, problems and challenges, behavioral regularities and influencing factors, and intervening measures to improve their reading skills.

With the development of the Internet, new media reading emerged around 2011 and digital reading has become way of learning and living for contemporary college students. Some scholars have long studied the difference between paper and screen reading ( Dillon, 2007 ), and examined the media preference of undergraduate academic reading ( Mizrachi, 2015 ). Xu and Li (2020) also studied the changes in students’ reading preferences and found that most of the college students still preferred to access information through paper carriers when reading relevant literature. A great number of studies have shown that digital reading environment presents new challenges and opportunities for learners’ reading ability. Guzmán-Simón et al. (2017) believed that undergraduate academic practice should include digital skills, ICT literacy and information literacy. What’s more, different reading forms and reading skills required for digital academic reading expanded the factors influencing academic reading of original paper to include factors such as the ICT environment and information skills. These results are supported by another study which states that the comprehending digital text requires different and additional skills and strategies ( Reiber-Kuijpers et al., 2020 ).

In 2020, the outbreak of Covid-19 has changed people’s living conditions ( Liu and Huang, 2020 ). Due to objective conditions, many colleges and universities have adopted online teaching, and Chinese college students have gradually developed digital academic reading habits. Global library access and circulation outlook indicates that physical access and circulation are on the decline, while digital access and circulation are on the rise. Although Covid-19 has created certain conditions for college students to engage in digital academic reading, the lack of information literacy and the limitation of digital academic resources have also brought difficulties ( Hevia et al., 2021 ; Salim et al., 2022 ).

To summarize, the previous research mainly focused on the evaluation and teaching method of traditional academic reading ( Cabrera-Pommiez et al., 2021 ; Yapp et al., 2021 ). Currently, the recent research on digital academic reading focuses on the definition of the digital academic reading, reading ability, academic literacies or digital learning platforms ( Nhapulo et al., 2017 ; Diane and Alicia, 2022 ). Few scholars discussed the factors influencing college students’ digital academic reading behavior and willingness. This paper uses the UTAUT2 model to explore the impact of internal and external factors such as reading environment, technological factors, and reading attitudes on college students’ academic reading behavior.

3. Research model construction and hypotheses

3.1. theoretical framework.

The research model for this study was the extended UTAUT2 with the addition of the Technology Acceptance Model (see Figure 1 ; Venkatesh et al., 2012 ). This model is more focused on the description of consumer groups and is able to more fully examine the factors influencing user behavior than the UTAUT model, which focuses on the employees of the company.

An external file that holds a picture, illustration, etc.
Object name is fpsyg-13-1007247-g001.jpg

UTAUT2 model.

Many theories and models have been developed in order to better comprehend the factors affecting the adoption-acceptance of new technologies. The UTAUT is one of the most comprehensive models of technology acceptance since it integrats TIF, TRA, TPB, SCT, IDT, MPCU, MM, composite TAM&TPB and other theories of technology acceptance in information technology research. It consists of four factors (Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions) and four moderating variables (Gender, Age, Experience, Voluntariness of use) that directly affect the use intention and behavior ( Venkatesh et al., 2003 ; Kan, 2016 ). In the context of mobile learning, UTAUT was suggested as the best possible mode ( Venkataraman and Ramasamy, 2018 ; Jiang, 2021 ). However, there is a lack of consideration of consumer habits, payment prices and other factors in different consumer centric work environments. Thus, UTAUT2 emerged as an extension of UTAUT, incorporating Hedonic Motivation (HM), Price Value (PV), and Habit (HT). Behavioral Intention (BI) is the mediating variable, while Use Behavior (B) is the dependent variable ( Venkatesh et al., 2012 ). At present, this model has been verified in personal consumption, online learning, e-government, online education, etc., ( El-Masri and Tarhini, 2017 ; Chaiyasoonthorn and Suksa-Ngiam, 2018 ; Eneizan et al., 2019 ; Basewe et al., 2022 ). Digital academic reading includes technical factors (ICT technology), reading attitudes, behavioral factors, and digital environmental factors, which roughly fit the UTAUT2 model. Therefore, this paper combines it with digital academic reading theory, replacing appropriate variables and increasing the explanatory power of the model.

3.2. Model construction

Proposing a theoretical framework to study the mechanism influencing college students’ digital academic reading behavior is a tough undertaking to ensure that the model is comprehensive and concise, and excluding variables of little value from the research. Academic reading requires the use of reading strategies suitable for specific disciplines to read professional academic resources ( McWhorter, 2013 ), which is a purposeful ( Mayer and Alexander, 2011 ), critical and complex reading behavior ( Sengupta, 2002 ). It usually requires readers to deeply understand and synthesize densely scattered texts, and requires them to concentrate on reading. Therefore, the motivation for academic reading is mainly scientific research or academic improvement, rather than hedonic motivation in leisure or general consumption, so this influencing factor should be removed. In the digital environment, readers will encounter network risks in the reading process, such as advertising interference, false information ( Pang, 2019 ), personal distraction ( Zhou, 2019 ), personal information disclosure, etc. Therefore, perceived risk is added to explore the impact of individual cognitive risk on use intention and behavior in digital academic reading. The original message of the UTAUT2 is that gender, age, and experience are normally set to moderate UTAUT2 relationships ( Venkatesh et al., 2012 ). However, several studies conducted via UTAUT and UTAUT2 in various IS/online learning have reported to some extent contradictory findings ( Chauhan and Jaiswal, 2016 ; Alajmi and Alotaibi, 2020 ; Jaradat et al., 2020 ). In addition, many studies in the field of education have excluded these three moderating variables for various reasons In addition, many studies in the field of education have excluded the three moderate variables for various reasons ( Ahmed and Ali, 2020 ; Zacharis and Nikolopoulou, 2022 ). In china, students are or should be able to read proficiently by the time they enter university and there is a small gap between college students’ performance and reading experience. Moreover, the universities attach importance to the development of information literacy, and Chinese universities have basically carried out similar information literacy courses in the first academic year, with students of different ages and genders acquiring the same information skills. Undergraduate students’ academic reading experience mainly comes from course assignments. Therefore, their digital reading experiences are roughly the same. At the same time, this study focuses on digital academic reading behavior rather than reading performance. Therefore, the three regulatory variables of gender, age and experience are not considered. Finally, the digital academic reading information behavior (DARB) model of college students is shown in Figure 2 .

An external file that holds a picture, illustration, etc.
Object name is fpsyg-13-1007247-g002.jpg

DARB model of college students.

3.3. Research hypotheses

Performance expectancy refers to the extent to which an individual believes that their performance can be enhanced by the new system or technology ( Venkatesh et al., 2003 ). In the context of DAR (digital academic reading), It is believed that digital academic reading can help readers obtain academic information resources of better quality faster and more efficiently. Studies have shown that performance expectancy (PE) has a significant influence on the behavioral intention (BI). A growing number of scholars found that PE is a significant predictor of BI in the context of mobile learning ( Wang et al., 2009 ; Fagan, 2019 ). PE was also shown to predict BI of primary school teachers’ use of technology use ( Lufungulo, 2015 ), as well as BI of ICT instruction in a forced environment in the Philippines ( Kim and Lee, 2020 ). PE also positively affected the BI of college students using mobile learning technologies in China, in the United States, and in Indonesia ( Chao, 2019 ; Fagan, 2019 ; Sidik and Syafar, 2020 ), as well as mobile internet technology in India and Germany ( Jayanth and Murugan, 2020 ). Digital academic reading falls under the category of online learning. Based on the findings of online learning, this study hypothesizes that performance expectancy (PE) positively affects college students’ behavioral intention (BI) to engage in digital academic reading:

H 1: Performance expectancy (PE) has a significant positive effect on behavioral intention (BI).

Effort expectancy is defined as the expected ease of using the technology ( Paula et al., 2021 ). In the context of this study, it refers to the ability of college students to quickly master and easily operate digital academic reading tools. Since then, effort expectancy (EE) has always been important influencing factor of behavioral intention (BI) and use behavior (USE) in the research of education and tourism ( Baptista and Oliveira, 2015 ). Scholars found that EE can influence secondary school teachers’ intentions to use mobile technology, or broader technology in the classroom ( Omar et al., 2019 ; Kim and Lee, 2020 ). But Botero et al. (2019) found no effect of effort expectancy on attitude and behavioral intention in a m-learning study. These inconsistent findings require more empirical studies to better explain the role of effort expectancy in digital academic reading. Therefore, the following hypothesis was formulated:

H 2: Effort expectancy (EE) has a significant positive effect on behavioral intention (BI).

Social Influence refers to the perception that significant others believe that the technology should be used ( Paula et al., 2021 ). Social influence played an important role in explaining behavioral intention in m-learning studies ( Botero et al., 2019 ). Social Influence (SI) affected teachers’ Behavioral Intention (BI) to use technology (including mobile technology) in the classroom ( Kim and Lee, 2020 ), as well as college students’ BI to use mobile learning technologies ( Alasmari and Zhang, 2019 ; Jayanth and Murugan, 2020 ). During the COVID-19 Pandemic, students have invested a lot of time in digital reading. Students’ DAR (digital academic reading) intention may be influenced by other important individuals, such as friends, teachers, or family. In the present study, it was hypothesized that:

H 3: Social influence (SI) has a significant positive effect on behavioral intention (BI).

Studies have shown that price value (PV) has a significant influence on the behavioral intention (BI). ( Wong et al., 2019 ; Kleopatra et al., 2021 ). In this study, price value (PV) refers to the amount of time, energy and money that college students need to spend on digital academic reading ( Venkatesh et al., 2003 ; Huang, 2019 ). Sensible or low-cost online access (as well as technical devices’ purchase) may influence students’ intention to conduct digital academic reading. Higher PV is expected to be linked to greater willingness to adopt digital academic reading. Therefore, we put forward the following hypothesis:

H 4: Price value (PV) has a significant positive effect on behavioral intention (BI).

Perceived risk (PR) refers to online risks encountered in digital academic reading, such as personal privacy security, online advertising or pop-up interference. Many scholars have confirmed its negative effect on people’s behavioral intention (BI) to conduct digital academic reading. For example, Thomas and Baird (1985) believed that the uncertainty of information sources in digital academic reading would affect the quality of information obtained. Deng et al. (2015) also proved that advertisements and pop-ups in the process of digital academic reading affected the quality of information. According to the previous researches, the hypothesis is as follows:

H 5: Perceived risk (PR) has a significant negative effect on behavioral intention (BI).

Facilitating conditions were defined as the technical or organizational support expected while using the technology. Facilitating Conditions (FC) can significantly predict behavioral intention (BI) and positively influence students’ digital reading behavior ( Taiminen and Karjaluoto, 2017 ; Dwivedi et al., 2019 ; Jayanth and Murugan, 2020 ). Kim et al. (2005) believed that digital academic reading can make better use of fragmented time. FC also predicted educators’ and students’ BI to adopt and use mobile internet ( Wong et al., 2019 ). For this study, it was hypothesized that FC affect students’ BI to conduct digital academic reading. Technical (e.g., restricted internet access and limited technology infrastructure) and organizational issues (e.g., lack of support personnel) may possibly inhibit students’ intentions and usage in academic reading. Students’ intention to engage in digital academic reading is stronger when they perceive that the school has adequate support and the right environment for Internet implementation. The related research hypotheses are as follows:

H 6: Facilitating conditions (FC) has a significant positive effect on behavioral intention (BI).
H 7: Facilitating conditions (FC) has a significant positive effect on use behavior (B).

Habit (BH) refers to the transformation of college students’ information reading habit from traditional paper academic reading to academic reading under the network environment. The positive relationship between BH and students’ intentions to use technology was confirmed by Omar et al. (2019) . BH had positive effect on teachers’ behavioral intention to use actual technology ( Kim and Lee, 2020 ), and it influenced educators’ and students’ BI to adopt and use mobile internet ( Wong et al., 2019 ). Scholars have also found that students’ academic reading habits have changed due to digital reading in the online environment ( Huang, 2019 ). This study hypothesized that habit has a positive effect on students’ (Behavioral Intention) BI and Use Behavior (B) for digital academic reading. Students’ digital academic reading habits may contribute to their increasing receptive and academic competence. The related hypotheses are as follows:

H 8: Habit (BH) has a significant positive effect on behavioral intention (BI).
H 9: Habit (BH) has a significant positive effect on use behavior (B).

Previous researches have proved that there is a positive relationship between behavioral intention and use behavior ( Jayanth and Murugan, 2020 ; Kim and Lee, 2020 ). Most students are willing to use digital academic reading to obtain information if possible ( Venkatesh et al., 2003 ; Nie, 2019 ). This study hypothesized that BI positively affects students’ actual use of digital academic reading. The higher students’ intentions possibly relate to higher usage for academic reading purposes. Therefore, we put forward the hypothesis:

H 10: Behavioral intention (BI) has a significant positive effect on use behavior (B).

4. Methodology

4.1. participants.

In this study, in order to ensure the balance of sampling (age, specialty, etc.), a multi-stage sampling technique was used to collect representative samples from universities in Nanjing. Initially, two schools were randomly selected from five university towns divided by Nanjing Municipal Education Bureau. Then, up to 10 colleges (five science colleges and five humanities colleges) were randomly selected from each college. From each university, one major was randomly selected to participate in the current study.

Two hundred thirty-nine college students participated in this study, of which 189 students’ data is deemed valid after eliminating those with obvious filling errors (e.g., identical answers from beginning to end, or too many missing values in the questionnaire). The classification of college students is as follows: The classification of college students is as follows: (1) 83 undergraduate students in the humanities, (2) 106 undergraduate students in the sciences and the ratio of arts and sciences disciplines is close to 1:1. Most students learn the basic professional knowledge of their major by reading academic articles online.

4.2. Study materials

The questionnaire in this study is a closed questionnaire, modified from the pre-survey questionnaire reliability and validity. The questionnaire is divided into two parts. The first part collects the basic information of students: gender, age, grade, habits and overall situation of digital academic reading. After the completion of the scale design, a pre-survey was conducted among 30 college students who often conduct digital academic reading, and the official questionnaire was formed by discussing, modifying and adjusting problem areas. And it was adopted to measure the respondents’ behavioral intention of digital academic reading and its influencing factors ( Xie, 2012 ; Li et al., 2014 ). The questionnaire uses a Likert 5-point scale with values ranging from “strongly disagree” to “strongly agree” ( Supplementary Appendix 1 ).

4.3. Data collection

In addition, demographic data were collected by grade and discipline. The data was collected through a third-party online survey software “questionnaire star”, 1 which was not connected to any of the college systems that collected the research sample. In order to protect the confidentiality and anonymity of the respondents, the questionnaire data did not collect the names, email addresses or phone numbers of the respondents. In addition, demographic data are collected by grade and subject.

Prior to data collection, the School of Management of Nanjing University of Posts and Telecommunications issued an official license for the project, so as to issue large-scale online questionnaires. Before filling in the questionnaire, participants were informed of the survey intention and explained the meaning and content of digital academic reading to ensure the respondents’ understanding of the questionnaire and the authenticity of data reflecting users’ digital academic reading behavior. The appraisers of the project should collect the questionnaire from April 24 to May 1, 2022 and complete the screening checks in time. It should also be mentioned that students were told that if they did not want to fill out the questionnaire, they could ask to exclude themselves. Finally, the students were given the contact details of the researcher in case they wanted more clarification.

5.1. Demographic information

A survey of the digital academic reading tools, frequency, duration, location and content used by college students provides insight into the academic reading habits of college students in a digital environment.

In terms of reading carriers, the most used carriers are computers, followed by mobile phones, and the least are e-book readers. One hundred nine of them use two or more reading carriers, accounting for about 57.7% of the total. In terms of reading frequency, the number of students who read “frequently” is the lowest, only 21(11.1%), and 50% of them were seniors and postgraduates. The number of students with “occasional” frequency is the largest, totaling 100(52.9%), and “hardly” frequency accounts for 20.1%. In terms of the length of single reading, the majority of the respondents read for less than 1 hour, accounting for 79.9% of all the respondents, while 5.3% of them read more than 2 hours. In terms of reading places, the largest number of students choose dormitories and libraries for academic reading, accounting for 85.7%, and only two students choose cafes. In terms of reading channels, university students use search engines such as Baidu and Google the most (27.2%), followed by library databases (24.6%), professional websites (21.2%), academic platforms (13.9%), and social networks the least (13.1%). The highest percentage of new undergraduate students used search engines (30.4%) In terms of reading content, students read mainly Chinese literature (89.9%), with only a small proportion of foreign literature.

5.2. Reliability and validity analysis

The reliability of the scale is determined by the internal consistency coefficient (Cronbach’s α), average variance extracted (AVE) and composite reliability (CR). As shown in Table 2 , Cronbach’s α of Performance Expectancy, Social Influence, Price Value, Perceived Risk, Facilitating Conditions, Habit, Behavioral Intention, Use Behavior are greater than 0.7, the AVE of the factor load value of each measurement item is greater than 0.5, and the CR of each combination reliability is greater than 0.7, indicating that each measurement item of the questionnaire has very good reliability. Validity testing includes content validity and structural validity. The design of this study’s scale was refined and modified through literature research, expert interviews and pre-survey of items. The process is rigorous and has good content validity. The KMO is 0.934, greater than 0.8, the Bartlett’s sphericity value is 344.692 (DF = 196), and the statistical significance (P) is less than 0.001, indicating that the research data has high correlation and is suitable for factor analysis. In confirmatory factor analysis (CFA), the factor load value of each item is greater than 0.6, indicating that the validity of the measurement model is good.

Reliability and validity analysis results of questionnaire.

5.3. Structural model

Observation variables are continuous and follow normal distribution, and potential variables have significant correlation, so SEM method can be used for model fitting ( Supplementary Appendix 2 ). Amos26.0 is used to study the overall fitting evaluation and hypothesis test of the model. It can be seen from Table 3 that the model fitness meets the standard, indicating that the data collected and the model constructed match well, the proposed path assumption relationship is consistent with the actual situation, and the model coefficient results are accurate and effective.

Model fitness parameters.

The degree of interpretation of the whole model and the significance of relevant assumptions are evaluated by path coefficient, C.R. value and p value, as shown in Table 4 . The absolute value of the critical ratio C.R. of 7 paths is greater than 1.96, and the significance probability value p is less than 0.05; these hypotheses are accepted. The absolute value of the critical ratio C.R. of 3 paths is less than 1.96, and the significance probability value p is greater than 0.05; these hypotheses are rejected. The verification results in Table 4 show that some hypotheses proposed in this paper have passed the test.

Analysis of model results.

***corresponds to 0.1% significant level, p < 0.001.

In terms of model modification, the index variable whose factor load was less than 0.6 was deleted, and some index variables were adjusted according to the MI value. The index variable corresponding to the error variable with a larger MI value was deleted, and the correlation between the other error variables was added to obtain the new model. After empirical research and modification, the final digital academic reading behavior model (DARB) of college students is shown in Figure 3 .

An external file that holds a picture, illustration, etc.
Object name is fpsyg-13-1007247-g003.jpg

Digital academic reading behavior model of college students.

6. Discussion

The data suggests that undergraduates have recognized the importance of academic reading. However, most students do not place much emphasis on academic reading, and the demand for it is not high. Some senior students have gradually increased the reading frequency of academic literature because of project submissions and thesis writing. What’s more, digital academic reading requires a lot of energy, and it remains difficult for college students to read professionally for a long time. And the majority of students choose to do their academic reading on campus, which should be related to the need to access the campus network for digital academic reading. Finally, after the introduction of information retrieval and analysis courses in many colleges in the second year of university, college students learn that they can obtain digital academic resources from the database resources of digital library and their academic reading ability is also growing with the grade.

Based on the UTAUT2 model, this study adjusted the explanatory variables according to the characteristics of digital academic reading, removed hedonic motivation, gender, age and experience variables, added perceived risk (PR), and constructed the college students’ digital academic reading information behavior model (DARB). Amos 26.0 software is used to analyze the survey data, and it is found that effort expectancy (EE), social influence (SI), price value (PV), perceived risk (PR) and habit (BH) have a significant effect on behavioral intention (BI), and behavioral intention (BI) has a significant effect on use behavior (B). However, performance expectancy (PE) and facilitating conditions (FC) have no significant influence on behavioral intention (BI) and use behavior (B). The results of this analysis contradict with previous studies ( Alsaaid and Abd Razak, 2020 ; Farshad, 2022 ). When students believe that the educational process is beneficial to them, their willingness to use it will increase significantly. According to the survey results, the main concern of undergraduate students is to improve their academic performance. They regard digital academic reading as an activity that can help them do this. However, in this study, the students’ responses showed that the expectation performance did not affect their behavioral intention of digital academic reading. The main reason for this may be that students were not aware of the benefits of digital academic reading. At the same time, some students were bored with the frequent digital academic reading behavior during covid-19 epidemic. Even though they thought that the reading process could benefit them, they were reluctant to initiate the reading process. For the same reason, students’ willingness to read did not improve even when they were provided with easy access to digital academic reading.

Effort expectancy has a significant positive effect on behavioral intention. This is consistent with the hypothesis in the original UTAUT2 model ( Venkatesh et al., 2012 ; Omar et al., 2019 ; Kim and Lee, 2020 ). It is show that the convenience, system stability and difficulty of digital academic reading affect users’ behavioral intention. With the construction and development of the digital academic reading database platform, the operation of the system is becoming more and more convenient, stable and durable, reducing the efforts of college students to use the digital reading system, and the intention to read digital academic work will increase; On the contrary, if the system is complex and cumbersome, the intention will decline.

Habit is another most important factor that influences behavioral intentions and use behavior. Habit reflects users’ dependence on new information skills. Academic reading ability is a reflection of college students’ information literacy. Most students must be exposed to digital academic reading and have ability to obtain and use digital information, so they have a strong dependence on it.

Social influence has a significant negative effect on behavioral intention. This is inconsistent with the positive impact of previous studies ( Gil-Flores et al., 2012 ; Hahnel et al., 2016 ; Lim and Jung, 2019 ). But some studies also show that social influence has no effect on behavioral intention ( Kleopatra et al., 2021 ). Social influence reflects the influence of individual social environment on digital academic reading. Based on the questionnaire content and the results of face-to-face interviews with some college students, it is found that modern college students pursue independence and freedom, hate preaching, and they are unique, especially affected by the COVID-19 for a long time, making digital academic reading a regular learning content. The compulsion of learning tasks and the monotony of the reading platform (for example, students point out that they often use the pdf format documents published by teachers on the online platform stipulated by the school) reduce students’ interest in digital academic reading and hold a negative attitude. Therefore, when teachers or classmates around encourage students to carry out academic reading, they will arouse their aversion to digital academic reading.

Price value also has a significant positive impact on behavioral intention. This is consistent with previous studies ( Wong et al., 2019 ; Kleopatra et al., 2021 ). With the accelerated construction of digital libraries, most college libraries have sufficient digital academic resources, and provide students with perfect reading equipment and convenient access to the Internet ( Fang and Jia, 2019 ). The cost of students’ digital academic reading is greatly reduced. In addition, colleges tend to provide a large number of courses related to information resource retrieval, academic report writing, and academic paper reading. Therefore, students have gradually developed their interest in digital academic reading, which has also greatly improved the utilization of digital academic resources.

Perceived risk also has a significant negative impact on behavioral intention. Perceived risk reflects the risk that college students think digital academic reading may pose to them. Digital academic reading may pose risks to users in terms information quality, such as Pop up Window, personal information disclosure and so on, which have a great effect on college students ( Mizrachi, 2015 ; Clair-Thompson et al., 2017 ).

The hypothesis of the influence of performance expectation on behavioral intention is not valid, unlike the results of most previous studies ( Gil-Flores et al., 2012 ; Venkatesh et al., 2012 ; Hahnel et al., 2016 ; Lim and Jung, 2019 ), and is very worth discussing. Based on the content of the questionnaire and the results of face-to-face interviews with some college students, it is found that the digital academic reading of undergraduate students mainly occurs in their senior year, spent entirely on the graduation design and graduation thesis, and has a strong purpose. However, the importance of digital academic reading is ignored during the freshman to junior year, resulting in a non-significant impact of performance expectancy on behavioral intention. According to the analysis of questionnaires and interviews. Firstly, 57.6% of college students’ single digital academic reading time is more than half an hour, which is time-consuming. Academic reading is deep reading and requires a long period of time, and so fragmented time cannot be used reasonably and effectively. Secondly, 85.7% of students choose to do digital academic reading in libraries and dormitories. Compared with other public places, the learning atmosphere and environment are better and easier for them to concentrate. In addition, influenced by pandemic prevention and control, college students can only choose to study on campus, and the space convenience is also limited. Therefore, the influence of convenience conditions on behavioral intention and use behavior is not significant.

7. Conclusion and limitations

The main limitations of the study include the convenience sample and the use of a self-reporting scale to assess student’ behavioral intention and use behavior. Due to the limitation of covid-19 epidemic prevention measures, the samples were mainly from college students in Nanjing. The sample lacks diversity and may suffer from selection bias ( Kleopatra et al., 2021 ). Secondly, this study is cross-sectional in nature, so it does not model the change of students’ digital academic reading intention and behavior over time. To validate these patterns, more studies could be carried out with representative samples. For example, more geographical samples should be included. In addition, the sample should involve a more academically focused sample of postgraduate students, and explore whether the model can explain the amount of digital academic reading behavior of graduate students.

Despite the aforementioned limitations, this study produced promising findings. Overall, the findings supported the use of the modified UTAUT2 model as an appropriate framework for Digital Academic Reading Behavior. This offers new perspectives on the role of perceived risk (PR) on students’ behavior of digital academic reading in the context of Covid-19 popular, and calls for more empirical evidence on the role of social influence in the UTAUT model.

High level of Effort expectancy and low price value can effectively improve the reading intention of college students. Therefore, it is suggested that colleges should establish a training system for digital academic reading literacy and information literacy as soon as possible, cultivate their ability to acquire and use information and develop their keen information insight, strengthen professional information awareness, improve professional in-depth learning knowledge and enhance academic literacy, improve students’ effort to find digital academic resources accurately and effectively on the Internet, and reduce the cost of obtaining digital academic information. In addition, the operation system, digital academic reading resources and reading environment of university digital library system should be optimized to raise the expectation of students’ efforts to read digitally on the platform.

Finally, it is necessary to strengthen the construction of library digital resources, focus on the source supervision and quality control of digital academic resources, reasonably integrate digital academic resources to improve the availability of digital academic resources, provide an open, safe and stable working environment, and reduce students’ investment and expenditure in digital academic reading. It is also suggested that the security protection of personal information on the internet should be strengthened to prevent the disclosure of personal information during the use of resources and to reduce the perceived risk of users.

Data availability statement

Ethics statement.

In accordance with local legislation and institutional requirements, the questionnaire can only be carried out after fully explaining the study to the participants and obtaining their agreement to participate. Neither the survey process nor the results will involve the disclosure of participants’ personally identifiable information.

Author contributions

LC and JL: conceptualization and supervision. JL: methodology and writing—review and editing. YW and YF: software and writing—original draft preparation. LC: validation and project administration. YF: investigation. XZ: visualization All authors have read and agreed to the published version of the manuscript.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

1 www.wjx.cn

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1007247/full#supplementary-material

  • Ahmed A. A., Ali A. (2020). Predicting the intention to use and hedonic motivation for mobile learning: a comparative study in two Middle Eastern countries . Technol. Soc. 62 :101325. doi: 10.1016/j.techsoc.2020.101325 [ CrossRef ] [ Google Scholar ]
  • Alajmi M. A., Alotaibi J. H. (2020). Reconceptualization of system use in the context of the digital library: what are the roles of UTAUT and IS success models? J. Electron. Resour. Librariansh. 32 , 151–181. doi: 10.1080/1941126X.2020.1790943 [ CrossRef ] [ Google Scholar ]
  • Alasmari T., Zhang K. (2019). Mobile learning technology acceptance in Saudi Arabian higher education: an extended framework and a mixed-method study . Educ. Inf. Technol. 24 , 2127–2144. doi: 10.1007/s10639-019-09865-8 [ CrossRef ] [ Google Scholar ]
  • Alsaaid A., Abd Razak N. (2020). The blackboard learning management system–an intention usage among lecturers at a Saudi Arabia public universities . PalArch’s J. Archaeol. Egypt Egyptol. 17 , 9753–9764. [ Google Scholar ]
  • Ananda T., Zhang Y. G. (1987). Teaching approaches of academic reading . Foreign Lang. Teach. Abroad 2 , 21–26. [ Google Scholar ]
  • Baptista G., Oliveira T. (2015). Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators . Computers in Human Behavior 30 , 418–430. [ Google Scholar ]
  • Basewe K. J. P., Raphael O., Henry B. (2022). Examining students’ satisfaction with online learning during the Covid-19 pandemic - an extended UTAUT2 approach . J. Furth. High. Educ. 46 , 988–1005. doi: 10.1080/0309877X.2022.2030687 [ CrossRef ] [ Google Scholar ]
  • Bi J. (2010). Digital reading in the context of library 2.0 . J. Libr. Inf. Sci. Agric. 22 , 249–251. doi: 10.13998/j.cnki.issn1002-1248.2010.12.018 [ CrossRef ] [ Google Scholar ]
  • Botero G. G., Questier F., Cincinnato S., He T., Zhu C. (2019). Acceptance and usage of mobile assisted language learning by higher education students . J. Comput. High. Educ. 30 , 426–451. doi: 10.1007/s12528-018-9177-1 [ CrossRef ] [ Google Scholar ]
  • Cabrera-Pommiez M., Lara-Inostroza F., Puga-Larrain J. (2021). Assessing academic reading in students entering higher education . Ocnos Rev. Estud. Sobre Lect. 20 :2614. doi: 10.18239/ocnos_2021.20.3.2614 [ CrossRef ] [ Google Scholar ]
  • Chaiyasoonthorn W., Suksa-Ngiam W. (2018). Users’ acceptance of online literature databases in a Thai university: a test of UTAUT2 . Int. J. Inf. Syst. Serv. Sect. 10 , 54–70. doi: 10.4018/IJISSS.2018010104 [ CrossRef ] [ Google Scholar ]
  • Chao C. M. (2019). Factors determining the behavioral intention to use mobile learning: an application and extension of the UTAUT model . Front. Psychol. 10 :1652. doi: 10.3389/fpsyg.2019.01652, PMID: [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Chauhan S., Jaiswal M. (2016). Determinants of acceptance of ERP software training in business schools: empirical investigation using UTAUT model . Int. J. Manage. Educ. 14 , 248–262. doi: 10.1016/j.ijme.2016.05.005 [ CrossRef ] [ Google Scholar ]
  • Clair-Thompson H. S., Graham A., Marsham S. (2017). Exploring the Reading Practices of Undergraduate Students . Education Inquiry 9 , 1–15. [ Google Scholar ]
  • Deng Z. H., Wang B. Y., Li L. R. (2015). Research on bibliographic sharing behavior in social reading -- taking mobile reading APP as an example . Libr. Trib. 35 , 230–243. [ Google Scholar ]
  • Diane M., Alicia M. S. (2022). Reading format attitudes in the time of COVID . J. Acad. Librariansh. 48 :102552. doi: 10.1016/j.acalib.2022.102552 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Dillon A. (2007). Reading from paper versus screens: a critical review of the empirical literature . Ergonomics 35 , 1297–1326. doi: 10.1080/00140139208967394 [ CrossRef ] [ Google Scholar ]
  • Dwivedi Y. K., Rana N. P., Jeyaraj A., Clement M., Williams M. D. (2019). Re-examining the unified theory of acceptance and use of technology (UTAUT): towards a revised theoretical model . Inf. Syst. Front. 21 , 719–734. doi: 10.1007/s10796-017-9774-y [ CrossRef ] [ Google Scholar ]
  • El-Masri M., Tarhini A. (2017). Erratum to: factors affecting the adoption of e-learning systems in Qatar and USA: extending the unified theory of acceptance and use of technology 2 (UTAUT2) . Educ. Technol. Res. Dev. 65 , 765–767. doi: 10.1007/s11423-017-9526-1 [ CrossRef ] [ Google Scholar ]
  • Eneizan B., Mohammed A. G., Alnoor A., Alabboodi A. S., Enaizan O. (2019). Customer acceptance of mobile marketing in Jordan: an extended UTAUT2 model with trust and risk factors . Int. J. Eng. Bus. Manage. 11 :184797901988948. doi: 10.1177/1847979019889484 [ CrossRef ] [ Google Scholar ]
  • Fagan M. H. (2019). Factors influencing student acceptance of mobile learning in higher education . Comput. Sch. 36 , 105–121. doi: 10.19173/irrodl.v14i5.1631 [ CrossRef ] [ Google Scholar ]
  • Fang X., Jia T. D. (2019). Examining differences and similarities between graduate and undergraduate students’ user satisfaction with digital libraries . J. Acad. Librariansh. 45 :102072. doi: 10.1016/j.acalib.2019.102072 [ CrossRef ] [ Google Scholar ]
  • Farshad P. (2022). Investigating mobile acceptance in academic library services based on unified theory of acceptance and use of technology model (UTAUT-2) . J. Acad. Librariansh. 48 :102570. doi: 10.1016/j.acalib.2022.102570 [ CrossRef ] [ Google Scholar ]
  • Gil-Flores J., Torres-Gordillo J. J., Perera-Rodriguez V. H. (2012). The role of online reader experience in explaining students' performance in digital reading . Comput. Educ. 59 , 653–660. doi: 10.1016/j.compedu.2012.03.014 [ CrossRef ] [ Google Scholar ]
  • Gong L. L., Wang Q., Li Z. G., Zhang J. Z., Qiao D. M. (2020). Research on the characteristics and development strategies of college Students' digital reading behavior in the era of mobile internet -- based on the investigation of college students in five colleges and universities in Gansu Province . J. Acad. Libr. Inf. Sci. 38 , 49–54. [ Google Scholar ]
  • Gorzycki M., Desa G., Howard P. J., Allen D. D. (2020). Reading is important, but I don't read: undergraduates’ experiences with academic reading . J. Adolesc. Adult. Lit. 63 , 499–508. doi: 10.1002/jaal.1020 [ CrossRef ] [ Google Scholar ]
  • Grabe W. P., Stoller F. L. (2002). Teaching and Researching: Reading 2nd. London: Routledge. [ Google Scholar ]
  • Guzmán-Simón F., García-Jiménez E., López-Cobo I. (2017). Undergraduate Students' perspectives on digital competence and academic literacy in a Spanish university . Comput. Hum. Behav. 74 , 196–204. doi: 10.1016/j.chb.2017.04.040 [ CrossRef ] [ Google Scholar ]
  • Hahnel C., Goldhammer F., Naumann J., Kroehne U. (2016). Effects of linear reading, basic computer skills, evaluating online information, and navigation on reading digital text . Comput. Hum. Behav. 55 , 486–500. doi: 10.1016/j.chb.2015.09.042 [ CrossRef ] [ Google Scholar ]
  • Hevia F. J., Tristan S. V., VelásquezDurán A., Del C. D. C. M. (2021). Estimation of the fundamental learning loss and learning poverty related to COVID-19 pandemic in Mexico . Int. J. Educ. Dev. 88 , –102515. doi: 10.1016/j.ijedudev.2021.102515 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Howard P. J., Gorzycki M., Desa G., Allen D. D. (2018). Academic reading: comparing students' and faculty perceptions of its value, practice, and pedagogy . J. Coll. Read. Learn. 48 , 189–209. doi: 10.1080/10790195.2018.1472942 [ CrossRef ] [ Google Scholar ]
  • Hu P. P., Chen J. L. (2014). A qualitative survey of college English teachers’ academic reading: reading concepts, strategies and difficulties . Foreign Lang. World 1 , 71–78. [ Google Scholar ]
  • Huang R. Y. (2019). Research on the Influencing Factors of Digital Reading Willingness of Internet Generation , Zhengzhou University, Zhengzhou, HN. [ Google Scholar ]
  • Jaradat M. I. R. M., Ababneh H. T., Faqih K. M., Nusairat N. M. (2020). Exploring cloud computing adoption in higher educational environment: an extension of the UTAUT model with trust . Int. J. Adv. Sci. Technol. 26 , 8282–8306. [ Google Scholar ]
  • Jayanth J. A., Murugan P. (2020). Examining the inter-relationships of UTAUT constructs in mobile internet use in India and Germany . J. Electron. Commer. Organ. 18 , 36–48. doi: 10.4018/JECO.2020040103 [ CrossRef ] [ Google Scholar ]
  • Jiang F. J. (2021). Research on influencing factors of college students' learning behavior intention in mixed teaching environment . E Educ. Res. 42 , 105–112+128. doi: 10.13811/j.cnki.eer.2021.06.015 [ CrossRef ] [ Google Scholar ]
  • Kan D. T. (2016). Difference analysis of influencing factors of college Students' mobile reading behavior based on individual characteristics . J. Mod. Inf. 36 , 87–90. [ Google Scholar ]
  • Ke P. (2015). Basic theoretical problems of digital reading . Library 6 , 1–6+36. [ Google Scholar ]
  • Kim H., Kim J., Lee Y. (2005). An empirical study of use contexts in the Mobile internet, focusing on the usability of information architecture . Inf. Syst. Front. 7 , 175–186. doi: 10.1007/s10796-005-1486-z [ CrossRef ] [ Google Scholar ]
  • Kim J., Lee K. S. (2020). Conceptual model to predict Filipino teachers’ adoption of ICT based instruction in class: using the UTAUT model . Asia Pac. J. Educ. 42 , 699–713. doi: 10.1080/02188791.2020.1776213 [ CrossRef ] [ Google Scholar ]
  • Kirby S. N.. (2003). Developing an R & D Program to Improve Reading Comprehension . Santa Monica, CA: RAND Corporation. [ Google Scholar ]
  • Kleopatra N., Vasilis G., Konstantinos L. (2021). Habit, hedonic motivation, performance expectancy and technological pedagogical knowledge affect teachers’ intention to use mobile internet . Comput. Educ. Open 2 :100041. doi: 10.1016/j.caeo.2021.100041 [ CrossRef ] [ Google Scholar ]
  • Li W., Wu Y. H., Liu Y. (2014). A study on the relationship between adolescents' social reading motivation and behavior: a case study of wechat reading of junior and senior high school students in Shanghai . Libr. Inf. Serv. 23 , 61–68. [ Google Scholar ]
  • Lim H. J., Jung H. (2019). Factors related to digital reading achievement: a multi-level analysis using international large scale data . Comput. Educ. 133 , 82–93. doi: 10.1016/j.compedu.2019.01.007 [ CrossRef ] [ Google Scholar ]
  • Liu M., Huang J. (2020). Analysis of the impact of COVID-19 on the digital publishing industry . Publishing Ref. 5 , 5–9. doi: 10.1080/10790195.2020.1734885 [ CrossRef ] [ Google Scholar ]
  • Liu W., Zhao A. Q., Zhang Z. Y., Yu P. Y., Zhu J. (2012). Investigation report on professional reading of university librarians . Libr. J. 31 , 48–52+78. doi: 10.13663/j.cnki.lj.2012.06.009 [ CrossRef ] [ Google Scholar ]
  • Lufungulo S. E. (2015). Primary School Teachers’ Attitudes towards ICT Integration in Social Studies: A Study of Lusaka and Katete Districts . Thesis for: Masters of Education in Social Studies. doi: 10.13140/RG.2.2.18493.28641 [ CrossRef ]
  • Manarin K., Carey M., Rathburn M., Ryland G. (2015). Critical Reading in Higher Education: Academic Goals and Social Engagement . Bloomington: Indiana University Press. [ Google Scholar ]
  • Maria C., Marios V. (2022). Adolescents’ reading habits during COVID-19 protracted lockdown: to what extent do they still contribute to the perpetuation of cultural reproduction? Int. J. Educ. Res. 115 :102012. doi: 10.1016/j.ijer.2022.102012 [ CrossRef ] [ Google Scholar ]
  • Mayer R. E., Alexander P. A. (2011). Handbook of Research on Learning and Instruction . Routledge Chapman and Hall 7–31. doi: 10.4324/9780203839089 [ CrossRef ] [ Google Scholar ]
  • McWhorter K. (2013). Academic Reading . 8th. Longman Publishing, New York. [ Google Scholar ]
  • Mizrachi D. (2015). Undergraduates' academic reading format preferences and behaviors . J. Acad. Librariansh. 41 , 301–311. doi: 10.1016/j.acalib.2015.03.009 [ CrossRef ] [ Google Scholar ]
  • Nhapulo M. A., Simon E., Van Herreweghe M. (2017). Enhancing academic reading skills through extensive reading . Southern Afr. Linguist. Appl. Lang. Stud. 35 , 17–40. doi: 10.2989/16073614.2016.1267578 [ CrossRef ] [ Google Scholar ]
  • Nie W. Q. (2019). Study on the Influence of Feature Perception and UTAUT on Shared Bicycle Use Intention and Behavior . Chongqing Jiao tong University, Chongqing, CQ. [ Google Scholar ]
  • Nie L. B., Li C. (2018). Analysis on the problems and causes of college students' academic reading in the new media environment . Libr. J. Henan 38 , 79–80. [ Google Scholar ]
  • Omar M. N., Noor S., Kasim A. L. (2019). The influence of mobile technology adoption among secondary school teachers using the UTAUT2 model . Int. J. Recent Technol. Eng. 8 , 3827–3831. doi: 10.35940/ijrte.D8204.118419 [ CrossRef ] [ Google Scholar ]
  • Pang X. L. (2019). Discussion on network reading and children's reading service . Libr. Work Stud. 4 , 113–117. doi: 10.16384/j.cnki.lwas.2019.04.020 [ CrossRef ] [ Google Scholar ]
  • Paula P., Harald B., Jennifer A. H. (2021). Acceptance towards digital health interventions – model validation and further development of the unified theory of acceptance and use of technology . Internet Interv. 26 :100459. doi: 10.1016/j.invent.2021.100459 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Peng Q. (2017). Analysis of graduate Students’ Academic Reading Behavior and Needs . Central China Normal University, Wuhan, HB. [ Google Scholar ]
  • Reiber-Kuijpers M., Kral M., Meijer P. (2020). Digital reading in a second or foreign language: a systematic literature review – science direct . Comput. Educ. 163 , 104–115. doi: 10.1016/j.compedu.2020.104115 [ CrossRef ] [ Google Scholar ]
  • Salim K. M., Chandran C. S., Ali T. S., Chandrasekhar D., Poonkuzhi N. P., Ageeli M. M. A., et al.. (2022). Pharmacy student’s challenges in virtual learning system during the second COVID 19 wave in southern India . Soc. Sci. Hum. Open 5 :100241. doi: 10.1016/j.ssaho.2021.100241 [ CrossRef ] [ Google Scholar ]
  • Sengupta S. (2002). Developing academic reading at tertiary level: A longitudinal study tracing conceptual change . Reading Matrix An International Online Journal . 5 . [ Google Scholar ]
  • Sidik D., Syafar F. (2020). Exploring the factors influencing students’ intention to use mobile learning in Indonesia higher education . Educ. Inf. Technol. 25 , 4781–4796. doi: 10.1007/s10639-019-10018-0 [ CrossRef ] [ Google Scholar ]
  • Sun B. Q., Loh C. E., Nie Y. Y. (2021). The COVID-19 school closure effect on students’ print and digital leisure reading . Comput. Educ. Open 2 :100033. doi: 10.1016/j.caeo.2021.100033 [ CrossRef ] [ Google Scholar ]
  • Taiminen K., Karjaluoto H. (2017). Examining the performance of brand-extended thematic-content: the divergent impact of avid- and skim-reader groups . Comput. Hum. Behav. 72 , 449–458. doi: 10.1016/j.chb.2017.02.052 [ CrossRef ] [ Google Scholar ]
  • Tang X. Y., Lin Y. (2004). Improve the utilization rate of electronic publications and move towards a new era of digital reading . Libr. Trib. 2 , 91–93. [ Google Scholar ]
  • Thomas H., Baird I. S. (1985). Toward a contingency model of strategic risk taking . Acad. Manag. Rev. 10 , 230–243. doi: 10.5465/AMR.1985.4278108 [ CrossRef ] [ Google Scholar ]
  • Venkataraman J. B., Ramasamy S. (2018, 2018). Factors influencing mobile learning: a literature review of selected journal papers . Int. J. Mob. Learn. Organ. 12 , 99–112. doi: 10.1504/IJMLO.2018.10010738 [ CrossRef ] [ Google Scholar ]
  • Venkatesh V., Morris M. G., Davis G. B., et al.. (2003). User acceptance of information technology: toward a unified view . MIS Q. 27 , 425–478. doi: 10.2307/30036540 [ CrossRef ] [ Google Scholar ]
  • Venkatesh V., Thong J., Xin X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology . MIS Q. 36 , 157–178. doi: 10.2307/41410412 [ CrossRef ] [ Google Scholar ]
  • Wang Y. S., Wu M. C., Wang H. Y. (2009). Investigating the determinants and age and gender differences in the acceptance of mobile learning . Br. J. Educ. Technol. 40 , 92–118. doi: 10.1111/j.1467-8535.2007.00809.x [ CrossRef ] [ Google Scholar ]
  • Wong S. M., Leong C. M., Puah C. H. (2019). Mobile internet adoption in Malaysian suburbs: the moderating effect of gender . Asian J. Bus. Res. 9 , 90–114. doi: 10.14707/ajbr.190069 [ CrossRef ] [ Google Scholar ]
  • Xie A. Z. (2012). Research on Influencing Factors of College Students’ Willingness to Use Mobile Learning Based on UTAUT . Zhejiang Normal University, Jinhua, ZJ. [ Google Scholar ]
  • Xu K., Li F. (2020). Research on college students’ reading preference and carrier change . Jiangsu Sci. Technol. Inf. 37 , 63–66+76. [ Google Scholar ]
  • Yang L. (2019). Research on Driving Factors of Academic Information Sharing between College Teachers and Students Based on WeChat . Hebei University, Baoding, HB. [ Google Scholar ]
  • Yapp D., de Graaff R., van den Bergh H. (2021). Effects of reading strategy instruction in English as a second language on students’ academic reading comprehension . Lang. Teach. Res. doi: 10.1177/1362168820985236 [ CrossRef ] [ Google Scholar ]
  • Zacharis G., Nikolopoulou K. (2022). Factors predicting university students’ behavioral intention to use eLearning platforms in the post-pandemic normal: an UTAUT2 approach with “learning value” . Educ. Inf. Technol. 27 , 12065–12082. doi: 10.1007/s10639-022-11116-2 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Zhou Z. Y. (2019). Discussion on Teenagers’ Digital Reading and Digital Publishing . View on Publishing, pp. 34–36. doi: 10.16491/j.cnki.cn45-216/g2.2019.17.009 [ CrossRef ]

Advertisement

Advertisement

Developing and Sustaining Reading Habit Among Teenagers

  • Published: 01 November 2012
  • Volume 22 , pages 357–365, ( 2013 )

Cite this article

essay on decreasing reading habits among students

  • Azlin Norhaini Mansor 1 ,
  • Mohd Sattar Rasul 1 ,
  • Rose Amnah Abd Rauf 2 &
  • Bee Lian Koh 3  

1909 Accesses

13 Citations

1 Altmetric

Explore all metrics

Reading avidness is recognized as one of the predictors for academic achievement and as motivators for adult to be a life-long learner. The fact is that the number of avid readers is dwindling, and a recent survey showed that Malaysians read an average of two books per year. Thus, the focus of this research is to identify the factors that first led to students’ interest in reading and then to sustain this interest. The case study uses observations, interviews and documentary analyses method to collect data from seven 15-year-old Malaysian teenagers selected based on their reading avidness and various backgrounds. Through the course of this research, it was recognized that a key factor for reading ability stems from the home and choice of early childhood education. On the other hand, although parents do encourage and sustain interest in reading, the greater force seems to be from peers with similar interest. Like other facets of a teenager’s life, peer influence or as in this case positive peer influence, can be a key to unlock the dilemma of ‘reading reluctance’.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price includes VAT (Russian Federation)

Instant access to the full article PDF.

Rent this article via DeepDyve

Institutional subscriptions

Similar content being viewed by others

essay on decreasing reading habits among students

The Role of TikTok in Students’ Health and Wellbeing

essay on decreasing reading habits among students

Piaget and Vygotsky’s Play Theories: The Profile of Twenty-First-Century Evidence

essay on decreasing reading habits among students

A systematic narrative synthesis review of the effectiveness of genre theory and systemic functional linguistics for improving reading and writing outcomes within K-10 education

Anderson, R., Wilson, P., & Fielding, L. (1988). Growth in reading and how children spend their time outside of school. Reading Research Quarterly, 23 , 285–303. doi: 10.1598/RRQ.23.3.2 .

Article   Google Scholar  

Auerbach, E. R. (2010). Toward a social-contextual approach to family literacy. Harvard Educational Review, 59 (2), 165–182.

Google Scholar  

Baker, L. (2003). The role of parents in motivating struggling readers. Reading and Writing Quarterly, 19 , 87–106.

Belzer, A. (2002). “I don’t crave to read”: School reading and adulthood. Journal of Adolescent and Adult Literacy, 46 (2), 104–113.

Bennett, K. K., Weigel, D. J., & Martin, S. S. (2002). Children’s acquisition of early literacy skills: Examining family contributions. Early Childhood Research Quarterly, 17 (3), 295–317. doi: 10.1016/S0885-2006(02)00166-7 .

Chen, S. Y. (2008). Who is the avid adolescent reader in Taiwan: The role of gender, family and teacher. Journal of Adolescent and Adult Literacy, 52 (3), 214–223.

Cunningham, A. E., & Stanovich, K. E. (1997). Early reading acquisition and its relation to reading experience and ability 10 years later. Developmental Psychology, 33 (6), 934–945.

Cunningham, A., & Stanovich, K. (2001). What reading does for the mind? Journal of Direct Instruction, 1 (2), 137–149.

Cunningham, A. & Stanovich, K. (2003). Reading can make you smarter! principal 83(2). Retrieved from http://gse.berkeley.edu/faculty/aecunningham/Readingcanmakeyousmarter!.pdf . Accessed 1 Aug 2012.

Davis, P. (2007). Discourses about reading among seven- and eight- year-old children in classroom pedagogic cultures. Journal of Early Childhood Literacy, 7 (2), 219–252.

Eldouma, A. (2005). Relationship between reading and writing in English as a second language in the context of performance, Perceptions and strategy used. PhD Thesis. Universiti Putra Malaysia.

Eyre, G. (2005).The development and practice of literacy: A voyage of discovery. Retrieved 02 October 2006 from http://www.iasl-slo.org/ifla2005-eyre.doc .

Fielding, L. G., Wilson, P. T., & Anderson, R. C. (1986). A new focus on free reading: The role of trade books in reading instruction. In T. Raphael (Ed.), The contexts of school-based literacy (pp. 149–160). New York: Random House.

Hall, S., & Moats, L. C. (2000). Why reading to children is important. American Educator, 24 (1), 26–33.

Howard, V. (2008). Teens and pleasure reading: A taxonomy of young teen readers. http://www.cais-acsi.ca/proceedings/2008/howard_2008.pdf . Accessed 1 Aug 2012.

Long, A. (1984). Survey of the reading habits and interests of Malaysian people: Project of the Dewan Bahasa dan Pustaka. Kuala Lumpur, Malaysia: Dewan Bahasa dan Pustaka. doi: 10.5539/ies.v5n5pxx .

McKool, S. S. (2007). Factors that influence the decision to read: An investigation of fifth-grade students’ reading habits. Reading Improvement, 44 , 111–121.

Miller, G. A., & Gildea, P. M. (1987). How children learn words. Scientific American, 257 (3), 94–99.

Mokatsi, R. (2005). Sharing resources: How library networks can help education goals. East Africa Book Development Association. A research Paper looking at libraries in developing world. Commissioned by AID International.

Mokhtari, K., Reichard, C. A., & Gardner, A. (2011). The impact of internet and television use on the reading habits and practices of college students. Journal of Adolescent and Adult Literacy, 52 (7), 609–619. doi: 10.1598/JAAL.52.7.6 .

Morrow, L. M. (1983). Home and school correlates of early interest in literature. Journal of Educational Research, 76 , 221–230.

Ng, J. H. (2004). Inculcating the reading habit through the Nilam programme in schools. http://www.ipbl.edu.my/BM/penyelidikan/…/2005/ngSTARpaper.pdf . Accessed 10 June 2012.

Nieuwenhuizen, A. (2001). Young Australians reading: From keen to reluctant readers. Retrieved 21 May 2005 from http://www.slv.vic.gov.au/pdfs/aboutus/publications/yar_report.pdf .

Nor Shahriza, A. K., & Amelia, H. (2007). Reading habits and attitude in the digital age: Analysis of gender and academic program differences in Malaysia. Electronic Library, 25 (3), 285–298.

OECD. (2011) PISA in focus. Retrieved on-line: http://www.pisa.oecd.org/dataoecd/34/50/ 48624701.pdf.

Pandian, A. (2000). A study on readership behaviour among multi-ethnic, multi-lingual Malaysian students. A paper presented at the seventh International literacy and education research network (LERN) Conference on Learning, RMIT University, Melbourne, 5–9 July 2000.

Pitcher, S. M., Albright, L. K., DeLaney, C. J., Walker, N. T., Seunarinesingh, K., Mogge, S., Dunston, P. J. (2007). Assessing adolescents’ motivation to read. Journal of Adolescent and Adult Literacy , 50, 378–380,387–388,391–396. doi: 10.1598/JAAL.50.5.5 .

Pretorius, E. J. (2000) “What they can’t read will hurt them”: Reading and academic achievement. Retrieved on-line: http://www.innovation.ukzn.ac.za/Innovation Pdfs/No21pp33-41.

Razali M. F. (1997 August 4). Tahap pembacaan di kalangan masyarakat masih rendah [Society’s reading rate still low]. (Pendidikan). Berita Harian, p. 1.

Ruddell, R. B. (1995). Those influential literacy teachers: Meaning negotiators and motivation builders. The Reading Teacher, 48 (6), 454–463.

Sanacore, J. (2000). Promoting the lifetime reading habit in middle school students. The Clearing House, 73 (3), 157–161.

Satija, M. P. (2002). Reading and book culture. Herald of Library Science, 41 , 55–59.

Savolainen, H., Ahonen, T., Aro, M., Tolvanen, A., & Holopainen, L. (2007). Reading comprehension, word reading and spelling as predictors of school achievement and choice of secondary education. Learning and instructions, 18 (2), 201–210. doi: 10.1016/j.learninstruc.2007.09.017 .

Shapiro, J., & Whitney, P. (1997). Factors involved in the leisure reading of upper elementary school students. Reading Psychology, 18 (4), 343–370. doi: 10.1080/0270271970180402 .

Sheehan-Holt, J. K. & Smith, C. (2011). Does basic skills education affect adults’ literacy proficiencies and reading practices? doi: 10.1598/RRQ.35.2.2 .

Small, F. (1998). Profil membaca rakyat Malaysia 1996: National Library Malaysia Kuala Lumpur.

Stanovich, K. E. (1993). Does reading make you smarter? Literacy and the development of verbal intelligence. In H. Reese (Ed.), Advances of child development and behavior, vol 24 (pp. 133–180). San Diego, CA: Academic Press.

Chapter   Google Scholar  

Sternberg, R. J. (1985). Implicit theories of intelligence, creativity, and wisdom. Journal of Personality and Social Psychology, 49 , 607–627.

Strommen, L. T., & Mates, B. F. (2004). Learning to love reading: Interviews with older children and teens. Journal of Adolescent and Adult Literacy, 48 (3), 188–200. doi: 10.1598/JAAL.48.3.1 .

Sukhram, D. P., & Hsu, A. (2012). Developing reading partnerships between parents and children: A reflection on the reading together program. Early Childhood Education Journal, 40 (2), 115–121.

Szarina, A., Sohaimai, Z., Hamidah, A., & Norma, D. (1994). Reading habits and reading interests among students of institutions of higher learning in Malaysia . Malaysia: Universiti Teknologi Mara.

The National Endowment for the Arts, 2007. To read or not to read. A question of national consequence. www.arts.gov .

The Reading Agency. (2000). Reading the situation: Book reading, buying and borrowing in Britain . London: Book Marketing Ltd.

Vygotsky, L. (1978). Mind in society Cambridge . Mass: Harvard University Press.

Download references

Author information

Authors and affiliations.

Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

Azlin Norhaini Mansor & Mohd Sattar Rasul

Universiti Malaya, Kuala Lumpur, Malaysia

Rose Amnah Abd Rauf

Open University Malaysia, Kuala Lumpur, Malaysia

Bee Lian Koh

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to Azlin Norhaini Mansor .

Rights and permissions

Reprints and permissions

About this article

Mansor, A.N., Rasul, M.S., Rauf, R.A.A. et al. Developing and Sustaining Reading Habit Among Teenagers. Asia-Pacific Edu Res 22 , 357–365 (2013). https://doi.org/10.1007/s40299-012-0017-1

Download citation

Published : 01 November 2012

Issue Date : November 2013

DOI : https://doi.org/10.1007/s40299-012-0017-1

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

  • Reading habit
  • Early childhood education
  • Peer influence
  • Find a journal
  • Publish with us
  • Track your research

Paper Information

  • Paper Submission

Journal Information

  • About This Journal
  • Editorial Board
  • Current Issue
  • Author Guidelines

International Journal of Library Science

p-ISSN: 2168-488X    e-ISSN: 2168-4901

2018;  7(1): 15-20

doi:10.5923/j.library.20180701.03

Developing the Reading Habits of Secondary School Students in Nigeria: The Way Forward

Akande S. O. 1 , Oyedapo R. O. 2

1 Centre for Educational Media Resource Studies, University of Ibadan, Ibadan Nigeria

2 Hezekiah Oluwasanmi Library, Obafemi Awolowo University, Ile-Ife, Nigeria

Copyright © 2018 by the authors and Scientific & Academic Publishing.

In recent times, lack of cultivating the habit of reading has been the concern of all stakeholders. The lack of enthusiasm of secondary school students for reading has contributed to many failures such as poor writing and limited understanding about what they are taught in class. This growing concern provides motivation for this study. Thus, this study seeks to discover and elucidate the various ways whereby secondary school students in Nigeria could develop the habits of reading amidst divergent distractions around them especially in the 21 st century society as well as the roles of stakeholders towards enhancing the reading habits of students at the secondary school. The study concluded that the reading habits of secondary school students should be given rapt attention because of the imminent danger of losing reading habits in the era of information and communication technologies, where the use of social media sites is the order of the day. The study recommends that there must be a fixed time for reading a variety of reading materials that will appeal to students and that adopting different methods to arouse the interest of students could enhance their reading habits.

Keywords: Reading, Reading Habits, Secondary School and Students

Cite this paper: Akande S. O. , Oyedapo R. O. , Developing the Reading Habits of Secondary School Students in Nigeria: The Way Forward, International Journal of Library Science , Vol. 7 No. 1, 2018, pp. 15-20. doi: 10.5923/j.library.20180701.03.

Article Outline

1. introduction, 2. importance of reading habits, 3. developing good reading habits, 4. factors inhibiting the reading habits of secondary school students in nigeria, 5. reading habits of secondary school students: the way forward, 6. conclusions, 7. recommendations.

Reading is Good Habit for Students and Children

 500+ words essay on reading is good habit.

Reading is a very good habit that one needs to develop in life. Good books can inform you, enlighten you and lead you in the right direction. There is no better companion than a good book. Reading is important because it is good for your overall well-being. Once you start reading, you experience a whole new world. When you start loving the habit of reading you eventually get addicted to it. Reading develops language skills and vocabulary. Reading books is also a way to relax and reduce stress. It is important to read a good book at least for a few minutes each day to stretch the brain muscles for healthy functioning.

reading is good habit

Benefits of Reading

Books really are your best friends as you can rely on them when you are bored, upset, depressed, lonely or annoyed. They will accompany you anytime you want them and enhance your mood. They share with you information and knowledge any time you need. Good books always guide you to the correct path in life. Following are the benefits of reading –

Self Improvement: Reading helps you develop positive thinking. Reading is important because it develops your mind and gives you excessive knowledge and lessons of life. It helps you understand the world around you better. It keeps your mind active and enhances your creative ability.

Communication Skills: Reading improves your vocabulary and develops your communication skills. It helps you learn how to use your language creatively. Not only does it improve your communication but it also makes you a better writer. Good communication is important in every aspect of life.

Get the huge list of more than 500 Essay Topics and Ideas

Increases Knowledge: Books enable you to have a glimpse into cultures, traditions, arts, history, geography, health, psychology and several other subjects and aspects of life. You get an amazing amount of knowledge and information from books.

Reduces Stress: Reading a good book takes you in a new world and helps you relieve your day to day stress. It has several positive effects on your mind, body, and soul. It stimulates your brain muscles and keeps your brain healthy and strong.

Great Pleasure: When I read a book, I read it for pleasure. I just indulge myself in reading and experience a whole new world. Once I start reading a book I get so captivated I never want to leave it until I finish. It always gives a lot of pleasure to read a good book and cherish it for a lifetime.

Boosts your Imagination and Creativity: Reading takes you to the world of imagination and enhances your creativity. Reading helps you explore life from different perspectives. While you read books you are building new and creative thoughts, images and opinions in your mind. It makes you think creatively, fantasize and use your imagination.

Develops your Analytical Skills: By active reading, you explore several aspects of life. It involves questioning what you read. It helps you develop your thoughts and express your opinions. New ideas and thoughts pop up in your mind by active reading. It stimulates and develops your brain and gives you a new perspective.

Reduces Boredom: Journeys for long hours or a long vacation from work can be pretty boring in spite of all the social sites. Books come in handy and release you from boredom.

Read Different Stages of Reading here.

The habit of reading is one of the best qualities that a person can possess. Books are known to be your best friend for a reason. So it is very important to develop a good reading habit. We must all read on a daily basis for at least 30 minutes to enjoy the sweet fruits of reading. It is a great pleasure to sit in a quiet place and enjoy reading. Reading a good book is the most enjoyable experience one can have.

Customize your course in 30 seconds

Which class are you in.

tutor

  • Travelling Essay
  • Picnic Essay
  • Our Country Essay
  • My Parents Essay
  • Essay on Favourite Personality
  • Essay on Memorable Day of My Life
  • Essay on Knowledge is Power
  • Essay on Gurpurab
  • Essay on My Favourite Season
  • Essay on Types of Sports

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Download the App

Google Play

IMAGES

  1. A study of reading habits Free Essay Example

    essay on decreasing reading habits among students

  2. Reading essay/Essay on READING/Reading is good habit essay in english

    essay on decreasing reading habits among students

  3. (PDF) The Reading Habits of Public Senior Secondary School Students

    essay on decreasing reading habits among students

  4. Causes Of Poor Reading Habits Among Students Pdf

    essay on decreasing reading habits among students

  5. Essay on Reading is a Good Habit

    essay on decreasing reading habits among students

  6. Essay on Reading is Good Habit

    essay on decreasing reading habits among students

VIDEO

  1. Encourage reading habits among children ll essay on reading habits

  2. Essay on Five Habits you can adopt to Reduce waste and promote Recycling in English

  3. Encourage reading habits among children ll reading habits ll essay

  4. The Alarming Student Debt Crisis on Generation Z

  5. Changing reading habits among children curated by One up Library

  6. Essay on Reading is good habit in English

COMMENTS

  1. Reading Habits Among Students in the Digital Era: Changes of Trends and Behaviours

    collected using Google Sheet and the study found that majority o f the students (44%) like reading on websites. compared to other choices such as print books, e-books, magazines, comics, novel and ...

  2. PDF Don't Throw Out Paper And Pens Yet: On The Reading Habits Of Students

    The sampling frame was 9,300 students who had begun undergraduate studies in universities and academic colleges in 2012/2013. The response rate for the complete questionnaire was 79.1%; 1/7% submitted incomplete questionnaires and 19.2% did not complete the questionnaire. The main findings of the survey were:

  3. PROOF POINTS: Scholars weigh decline in reading habits

    The percentage of public school students who said they read 30 minutes or more a day, besides homework, declined by 4 percentage points from 53 percent in 2017 to 49 percent in 2019. These same young teens were also less likely to say they talked about books or went to the library. Positive attitudes about reading fell too.

  4. Reading Habits and Attitudes among University Students: A Review

    Research Papers in Education, 3 2 (5), 626-648 . ... The significant decline in leisure reading habits among university students created the impetus for this study. The purpose of this study was ...

  5. The Causes of A Declining Interest in Reading Among Teenagers

    The paper deals with the issue of a declining interest in reading among teenagers as evident from a qualitative research group. This study follows up on two studies presented at the ICERI 2018 in ...

  6. Relationships among students' reading habits, study skills, and

    Refer to Table 2 for the intercorrelation of variables among reading habits subscales, overall reading habits, and study skills; there were moderate-to-high positive correlations among variables. For reading habits, study skills, and academic achievement in English, students' reading habits were significantly and positively correlated as r ...

  7. Reading Habits Among Students and its Effect on Academic Performance: A

    they differ in the pattern of reading habits. While some students have good reading habits, others tend to exhibit poor reading habits. Academic achievement means how much knowledge the individual has acquired from the school (Bashir & Mattoo, 2012). A creative and pragmatic education involves the habit of personal investigation. The act of ...

  8. Reading skills of young students stalled during pandemic

    The researchers examined trends in the students' long-run growth back to 2018, observing fairly steady growth until the onset of the pandemic in the spring of 2020. The trajectory flattened at ...

  9. Study on factors influencing college students' digital academic reading

    According to the analysis of questionnaires and interviews. Firstly, 57.6% of college students' single digital academic reading time is more than half an hour, which is time-consuming. Academic reading is deep reading and requires a long period of time, and so fragmented time cannot be used reasonably and effectively.

  10. The Effects of Reading Habits on Academic Performance among Students in

    Reading holds a key role in personal development and academic success, contributing significantly to knowledge acquisition, vocabulary enhancement, and critical thinking skills. The absence of a reading habit often corresponds with lower performance in English classes, underscoring the need to nurture this skill. This review investigates past studies, using Google Scholar and Education ...

  11. Exploring the Factors Affecting the Development of Reading Habits among

    books negatively affect the reading interest and reading development of the children. According to Akindele (2012), lack of time, lack of parental involvement, and less. interest are significant hindrances in developing reading habits among children. According to Ogunrombi and Adio (1995), parents' illiteracy, improper.

  12. PDF A Survey on the Reading Habits among Colleges of Education Students in

    It is man's pane into life. Reading conveys the past and the future into the present. Reading provides experience through which the individual may expand his horizons of knowledge, identity; extend and intensify his interests so as to gain deeper understanding of himself. (Rout and Chettri, 2013).

  13. [PDF] Reading Habits Among Students and its Effect on Academic

    Effective reading is important avenue of effective learning and reading is interrelated with the total educational process and hence, educational success requires successful reading habit. IntroductionReading habits are well-planned and deliberate pattern of study which has attained a form of consistency on the part of students toward understanding academic subjects and passing at examinations ...

  14. Teens today spend more time on digital media, less time reading

    In recent years, less than 20 percent of U.S. teens report reading a book, magazine or newspaper daily for pleasure, while more than 80 percent say they use social media every day, according to research published by the American Psychological Association. "Compared with previous generations, teens in the 2010s spent more time online and less ...

  15. Read or Perish: Reading Habits among Students and its Effect on

    out to investigate the reading habit among students and the effect on their academic performance in senior high schools, specifically among students of Eastbank Senior High School. ... reported that learners are most inspired by reading magazines and daily papers and as well as topics associated with love, sports, and governmental issues ...

  16. Developing and Sustaining Reading Habit Among Teenagers

    Reading avidness is recognized as one of the predictors for academic achievement and as motivators for adult to be a life-long learner. The fact is that the number of avid readers is dwindling, and a recent survey showed that Malaysians read an average of two books per year. Thus, the focus of this research is to identify the factors that first led to students' interest in reading and then ...

  17. PDF Evaluation of the reading habits of Indian students (reading aloud and

    work aims to find the impact of reading habit on children‟s growth, the role of parents in inculcating reading habits in children, the importance of teachers in supporting children to read chosen materials, the connection between the habit of reading aloud and silently and the latest tools and techniques used for reading aloud and

  18. An Exploration of Students' Current Reading Habits and Skills

    habits and skills. These assumptions are as. follows: 1) th at reading habits are related to. reading skills, and 2) that reading performance. against reading comprehension questions is an ...

  19. Developing the Reading Habits of Secondary School Students in Nigeria

    6. Conclusions. Reading habits of Nigerian Secondary School students has been a concern to all and sundry, because reading is the pillar of all round educational development. Reading habits enhance individual self-confidence, moral and intellectual development.

  20. PDF Study Habits and Academic Performance among Students: A Systematic Review

    mastery." Azikiwe (1998), Study habit is "The adopted way and manner a student plans his private reading after classroom learning so ... effective use of time, reading skills, essay writing, report writing skills, note-taking, examination techniques and even job-hunting skills." ... The aim of this systematic review was to explore and ...

  21. Reading Habits and Their Influence on Academic Achievement Among

    of reading habits among college students and has increased students' lack of passion for reading (Briggs, 1987; Palani, 2012). In addition, some students do not acquire reading habits because

  22. Reading is Good Habit for Students and Children

    500+ Words Essay on Reading is Good Habit. Reading is a very good habit that one needs to develop in life. Good books can inform you, enlighten you and lead you in the right direction. There is no better companion than a good book. Reading is important because it is good for your overall well-being. Once you start reading, you experience a ...

  23. Developing and Sustaining Reading Habit Among Teenagers

    Studies on the role of peers in promoting and sustaining. reading habits among younger teens, 14-15-year-old, remain conclusive to this day. The reading habits of this. age group is an ...