a thesis statement about online learning

Education Thesis Statement

Crafting a strong thesis statement is essential for any successful educational essay or research paper. This one or two-sentence assertion forms the backbone of your argument, providing a concise summary of the point you intend to make. Whether you’re exploring the impact of technology in classrooms or analyzing the effectiveness of early childhood education, a well-structured thesis statement serves as a roadmap, guiding both.

What is Education Thesis Statement – Definition

An education thesis statement is a concise, focused, and arguable statement that presents the main idea or argument of an essay, research paper, or academic work related to the field of education. It outlines the scope of the study and provides a roadmap for the reader to understand the purpose and direction of the paper.

What is a Good Thesis Statement about Education

A comprehensive integration of technology in classrooms enhances students’ engagement, knowledge retention, and critical thinking skills, ultimately transforming traditional educational paradigms.”

What is an Example of an Education Topic Thesis Statement

“Implementing inclusive education policies in primary schools leads to improved academic outcomes for students with disabilities, fostering a more diverse and supportive learning environment.”

Remember, a good thesis statement is specific, debatable, and gives a clear indication of the focus of your paper. It should also be supported by evidence and analysis throughout the essay.

100 Education Statement Examples

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Crafting effective education thesis statements is pivotal in academic writing. These succinct sentences encapsulate the core concepts of your research, guiding your paper’s trajectory. From dissecting teaching methodologies to examining education’s societal impacts, a well-structured thesis statement is a beacon that illuminates your scholarly journey.

• Technology in Education : Integrating personalized digital tools in classrooms enhances collaborative learning, preparing students for a tech-driven world.
• Early Childhood Education : High-quality preschool programs significantly improve children’s cognitive development, ensuring a strong foundation for future learning.
• Inclusive Education : Adapting curriculum and teaching methods to diverse learning styles fosters equitable and enriching classroom experiences for all students.
• Education Policy : Reforms in standardized testing systems promote a more holistic evaluation of students’ abilities and potential.
• Online Learning : The surge in online education democratizes access to knowledge, revolutionizing traditional notions of learning environments.
• Critical Pedagogy : Empowering students to think critically about societal issues cultivates active citizenship and social change.
• STEM Education : Prioritizing STEM subjects in curricula prepares students for the demands of a technology-driven workforce.
• Arts Integration : Infusing arts into education not only enhances creativity but also nurtures a deeper understanding of core subjects.
• Parental Involvement : Engaged parental participation positively correlates with students’ academic success and overall well-being.
• Higher Education Costs : Exploring alternative funding models is crucial to make higher education accessible and affordable for all.
• Global Education : Fostering cross-cultural awareness in schools cultivates tolerance, empathy, and a broader worldview among students.
• Special Education : Tailoring teaching strategies to the needs of students with disabilities empowers them to achieve their full potential.
• Motivation and Learning : Understanding motivational factors improves teaching methods and student engagement in the classroom.
• Physical Education : Incorporating regular physical activity into the curriculum promotes not only fitness but also cognitive and emotional development.
• Education and Employment : Analyzing the relationship between education levels and job prospects reveals the role of education in economic mobility.
• Bilingual Education : Studying the effects of bilingual instruction on cognitive development highlights the benefits of multilingualism in education.
• Gender Disparities in Education : Addressing gender biases in curricula and teaching practices contributes to more equitable educational experiences.
• Teacher Training : Enhancing teacher preparation programs leads to more effective classroom management and student engagement.
• Education and Social Media : Analyzing the impact of social media on students’ learning habits reveals new avenues for interactive and self-directed learning.
• Education and Mental Health : Integrating mental health education into the curriculum helps reduce stigma and promotes students’ psychological well-being.
• Education and Sustainability : Incorporating environmental education empowers students to become responsible stewards of the planet.
• Literacy Development : Investigating early literacy interventions highlights the importance of foundational reading skills in later academic success.
• Civic Education : Teaching civics fosters active participation in democratic processes and shapes informed and responsible citizens.
• Education for Special Needs Students : Creating individualized education plans (IEPs) enhances the learning experience for students with diverse abilities.
• Globalization and Education : Exploring how globalization affects educational policies and practices prepares students for a globalized world.
• Education and Poverty : Investigating the link between education and poverty reduction underscores the role of education in breaking the cycle of disadvantage.
• Character Education : Nurturing qualities like empathy, integrity, and resilience in students contributes to holistic personal and ethical development.
• Standardized Curriculum vs. Personalized Learning : Evaluating the benefits and drawbacks of standardized versus personalized learning approaches in classrooms.
• Education Technology Ethics : Examining the ethical implications of using student data in educational technology applications.
• Education and Immigration : Studying the educational challenges and opportunities faced by immigrant students in host countries.
• Critical Thinking Education : Integrating critical thinking skills into curricula prepares students to analyze and evaluate information independently.
• Education and Cultural Heritage : Incorporating cultural heritage education preserves traditions and fosters cultural pride among students.
• Education Funding Allocation : Investigating the impact of equitable distribution of funding on educational outcomes in different communities.
• Education and Neurodiversity : Creating inclusive classrooms that accommodate neurodiverse students promotes a more accepting society.
• Sexual Education : Implementing comprehensive sexual education equips students with vital knowledge for making informed decisions.
• Education and Democracy : Understanding the role of education in nurturing informed citizenship and active participation in democratic processes.
• Education and Indigenous Knowledge : Integrating indigenous knowledge systems into curricula honors diverse worldviews and promotes cultural understanding.
• Home Schooling vs. Public Schooling : Comparing the academic and social outcomes of students educated at home versus traditional schools.
• Peer-to-Peer Learning : Exploring the effectiveness of peer mentoring programs in enhancing students’ academic performance and social skills.
• Education and Artificial Intelligence : Analyzing the potential of AI to personalize learning experiences and address individual student needs.
• Vocational Education : Promoting vocational education as a viable pathway to skill development and successful career opportunities.
• Education and Ethical Dilemmas : Investigating ethical challenges faced by educators and students in modern educational settings.
• Education and LGBTQ+ Inclusivity : Creating safe and inclusive environments for LGBTQ+ students through policy changes and awareness programs.
• Education and Aging Population : Adapting educational strategies to meet the learning needs of an aging workforce.
• Assessment Methods : Exploring innovative assessment techniques that provide a more comprehensive understanding of student learning.
• Outdoor Education : Utilizing outdoor and experiential learning to enhance students’ practical skills and environmental awareness.
• Education and Artificial Reality : Harnessing the potential of virtual and augmented reality in creating immersive educational experiences.
• Emotional Intelligence in Education : Integrating emotional intelligence training in schools contributes to students’ interpersonal skills and emotional well-being.
• Education and Gifted Students : Tailoring instruction to meet the unique learning needs of gifted students supports their intellectual growth.
• Education and Nutrition : Recognizing the link between proper nutrition and cognitive development for optimal student learning.
• Education and Language Acquisition : Examining strategies for effective language acquisition among non-native speakers in educational settings.
• Education and Political Socialization : Investigating how education shapes students’ political beliefs and participation in civic activities.
• Education and Political Socialization : Investigating how education shapes students’ political beliefs and participation in civic activities
• Education and Digital Literacy : Evaluating the importance of teaching digital literacy skills to navigate the information-rich online world.
• Teacher-Student Relationships : Investigating the impact of positive teacher-student relationships on academic motivation and achievement.
• Education and Social Justice : Analyzing the role of education in addressing societal inequalities and promoting social justice.
• Education and Multilingualism : Exploring the benefits of a multilingual approach in education for cognitive development and cultural awareness.
• Education and Learning Disabilities : Implementing tailored strategies to support students with learning disabilities enhances their academic success.
• Education and Environmental Awareness : Integrating environmental education fosters a generation of environmentally conscious citizens.
• Education and Entrepreneurship : Promoting entrepreneurial education equips students with skills for innovation and economic contribution.
• Student Engagement Strategies : Investigating effective methods to enhance student engagement and participation in the learning process.
• Education and Artificial Intelligence Ethics : Examining ethical considerations when using AI in educational settings to ensure data privacy and equity.
• Education and Emotional Well-being : Creating emotionally supportive environments positively impacts students’ mental health and academic performance.
• Education and Cultural Assimilation : Analyzing how education can either preserve or dilute cultural heritage among immigrant communities.
• Distance Learning Challenges : Exploring the challenges and benefits of distance learning, especially in the context of global events.
• Education and Creativity : Fostering creative thinking skills in students through innovative teaching approaches and curricular design.
• Education and Student Autonomy : Investigating the benefits of allowing students more autonomy in their learning processes.
• Education and Gaming : Exploring the potential of educational games in enhancing learning outcomes and student engagement.
• Teacher Burnout : Examining the factors contributing to teacher burnout and strategies to promote educator well-being.
• Global Education Disparities : Analyzing the disparities in access to quality education across different regions of the world.
• Education and Learning Styles : Tailoring instruction to accommodate diverse learning styles enhances students’ comprehension and retention.
• Education and Brain Development : Studying the correlation between educational experiences and brain development in children and adolescents.
• Education and Ethics Education : Integrating ethics education cultivates morally responsible decision-making among students.
• Education and Socioeconomic Mobility : Examining how education can be a catalyst for upward social mobility in disadvantaged communities.
• Education and Peer Influence : Investigating how peer interactions shape students’ attitudes, behaviors, and academic choices.
• Education and Indigenous Language Revival : Promoting the revitalization of indigenous languages through education preserves cultural heritage.
• Teacher Evaluation Methods : Exploring effective methods for evaluating teacher performance and their impact on educational quality.
• Education and Critical Media Literacy : Developing media literacy skills equips students to critically analyze and navigate the digital information landscape.
• Education and Online Privacy : Raising awareness about online privacy and digital citizenship in educational settings.
• Education and Parental Expectations : Analyzing the effects of parental expectations on students’ academic motivation and achievements.
• Education and Gender Stereotypes : Exploring how education can challenge or reinforce traditional gender stereotypes and roles.
• Education and Mindfulness : Incorporating mindfulness practices in schools enhances students’ focus, emotional regulation, and well-being.
• Education and Aging Workforce : Adapting teaching methods to address the unique learning needs of mature students in continuing education.
• Education and Postcolonialism : Analyzing the influence of colonial history on education systems and curriculum development.
• Education and Lifelong Learning : Promoting the idea of education as a continuous process that extends beyond formal schooling.

Education Thesis Statement Examples for Argumentative Essay

Education is the cornerstone of societal progress, and an argumentative essay thesis statement can explore its multifaceted impact. A thesis statement could be: “Mandatory financial literacy education in schools should be implemented to empower students with essential life skills, promoting responsible financial decision-making.

• Mandatory Financial Literacy Education : “Mandatory financial literacy education in schools should be implemented to empower students with essential life skills, promoting responsible financial decision-making.”
• Comprehensive Sex Education : “The integration of comprehensive sex education into curricula is imperative to address the rising rates of teenage pregnancies and sexually transmitted infections.”
• Bilingual Education : “Bilingual education programs positively contribute to cognitive development, cross-cultural understanding, and global communication skills among students.”
• Diverse Perspectives in History Education : “The inclusion of diverse perspectives in history education fosters critical thinking and promotes a more accurate understanding of past events.”
• Importance of Arts Education : “Arts education should remain a fundamental component of the curriculum, as it enhances creativity, cognitive abilities, and emotional intelligence.”
• Media Literacy Education : “Promoting media literacy education equips students to navigate the complexities of the digital age, fostering critical analysis of information sources.”
• Restorative Justice in Education : “Implementing restorative justice practices in schools nurtures conflict resolution skills, reduces disciplinary disparities, and creates a more inclusive learning environment.”
• Environmental Education : “Environmental education cultivates a sense of responsibility for ecological sustainability, preparing students to address pressing global environmental challenges.”
• Mental Health Education : “Education about mental health and emotional well-being should be integrated into curricula to reduce stigma, enhance self-awareness, and support student mental health.”
• Coding and Computer Science Education : “Teaching coding and computer science in primary education enhances problem-solving abilities, technological literacy, and prepares students for a technology-driven future.”

Importance of Education Thesis Statement Examples

Highlighting the significance of education, a thesis statement like, “Access to quality education equips individuals with the tools to break the cycle of poverty, fosters critical thinking, and cultivates informed citizens essential for a thriving democracy.”

• Access to Quality Education : “Access to quality education equips individuals with the tools to break the cycle of poverty, fosters critical thinking, and cultivates informed citizens essential for a thriving democracy.”
• Education and Innovation : “Education empowers individuals to challenge societal norms, fostering innovation and progress through the exploration of new ideas and perspectives.”
• Early Childhood Education : “Investing in early childhood education yields lifelong benefits, promoting cognitive development, emotional intelligence, and academic success.”
• Education for Social Cohesion : “Education plays a pivotal role in promoting social cohesion, bridging cultural divides, and fostering mutual respect and understanding among diverse communities.”
• Education and Economic Growth : “An educated workforce drives economic growth by fostering innovation, increasing productivity, and attracting investment in a knowledge-based economy.”
• Empowerment through Education : “Education is the foundation of personal empowerment, enabling individuals to make informed decisions about their health, finances, and overall well-being.”
• Education in a Technological Era : “Quality education equips individuals with the skills to adapt to rapid technological changes, ensuring they remain competitive in a dynamic job market.”
• Education and Social Mobility : “Education serves as a catalyst for social mobility, enabling individuals to transcend their socioeconomic backgrounds and achieve upward mobility.”
• Education and Public Health : “In societies with higher levels of education, there is a positive correlation with improved public health outcomes, lower crime rates, and overall well-being.”
• Right to Education : “Education is a fundamental human right that should be accessible to all, regardless of gender, ethnicity, socioeconomic status, or geographical location.”

Lack of Education Thesis Statement Examples

Examining the consequences of inadequate education, a concise thesis statement might state: “The lack of accessible education perpetuates social inequality, limits economic mobility, and hinders personal and societal development, underscoring the urgent need for educational reforms.”

• Impact of Inaccessible Education : “The lack of accessible education perpetuates social inequality, limits economic mobility, and hinders personal and societal development, underscoring the urgent need for educational reforms.”
• Cycle of Poverty : “In regions with limited educational opportunities, there is a heightened risk of perpetuating cycles of poverty, resulting in diminished life prospects for generations.”
• Lack of Comprehensive Sex Education : “The absence of comprehensive sex education contributes to uninformed decisions, leading to higher rates of unintended pregnancies and the spread of sexually transmitted infections.”
• Educational Inequality and Civic Engagement : “Communities with inadequate educational infrastructure experience reduced civic engagement, hampering their ability to advocate for their rights and interests.”
• Challenges in Special Needs Education : “Without inclusive education practices, students with disabilities are often marginalized, denying them opportunities for holistic development and societal contribution.”
• Environmental Ignorance : “The lack of emphasis on environmental education results in a lack of awareness about sustainable practices, exacerbating environmental degradation and climate change.”
• Mental Health Education Gap : “A dearth of education around mental health perpetuates stigma, preventing individuals from seeking help and contributing to a global mental health crisis.”
• Gender Disparities in Education : “In societies where gender equity in education is not prioritized, women and girls face limited opportunities, reinforcing gender disparities in various sectors.”
• Education and Ignorance : “Communities without access to quality education struggle to break free from cycles of ignorance and misinformation, hindering progress and social cohesion.”
• Digital Literacy Divide : “The absence of education tailored to the digital age leaves individuals vulnerable to misinformation, cyber threats, and challenges presented by rapid technological advancements.”

Education Thesis Statement Examples for College

For a college-focused context, a thesis could be: “Integrating practical skills training into higher education curricula prepares students for real-world challenges, bridging the gap between academic knowledge and employability.”

• Practical Skills in Higher Education : “Integrating practical skills training into higher education curricula prepares students for real-world challenges, bridging the gap between academic knowledge and employability.”
• Interdisciplinary Learning in College : “College education should prioritize interdisciplinary learning, fostering a holistic understanding of complex global issues and encouraging innovative solutions.”
• Experiential Learning in College : “Promoting student engagement through experiential learning opportunities in college enhances critical thinking, problem-solving skills, and prepares students for lifelong learning.”
• Soft Skills Development in College : “Colleges should emphasize the development of soft skills such as communication, teamwork, and adaptability, essential for success in diverse professional environments.”
• Entrepreneurship Education in College : “Incorporating entrepreneurship education in college equips students with the mindset and skills needed to create and navigate their own career paths.”
• Cultural Competence in College : “College education should encourage cultural competence, promoting empathy and understanding in an increasingly interconnected and diverse world.”
• Technology-Enhanced Learning in College : “Embracing technology-enhanced learning methods in college empowers students to become digitally literate, adaptable, and well-prepared for the modern workforce.”
• Research-Oriented College Education : “Fostering a research-oriented approach in college education cultivates critical inquiry, creativity, and advances our understanding of various academic disciplines.”
• Mental Health Support in College : “Colleges should prioritize mental health and well-being services to support students during a transformative period, ensuring their holistic success.”
• Flexible Learning in College : “Offering flexible learning options, including online and hybrid courses, accommodates diverse student needs and promotes lifelong learning beyond traditional campus settings.”

Education Thesis Statement Examples for Students

Directing attention to students, a thesis might read: “Implementing personalized learning approaches in schools caters to diverse learning styles, enhances student engagement, and fosters a lifelong love for learning.”

• Personalized Learning for Students : “Implementing personalized learning approaches in schools caters to diverse learning styles, enhances student engagement, and fosters a lifelong love for learning.”
• Student-Centered Education : “Student-centered education that encourages curiosity, creativity, and critical thinking nurtures independent thought and prepares students for active citizenship.”
• Project-Based Learning for Students : “Incorporating project-based learning in schools develops problem-solving skills and empowers students to apply theoretical knowledge to real-world situations.”
• Student Agency in Education : “Encouraging student agency in educational decisions fosters a sense of ownership, boosting motivation, and promoting self-directed learning.”
• Learning from Failure for Students : “Education that emphasizes the value of failure as a stepping stone to success helps students develop resilience, adaptability, and a growth mindset.”
• Collaborative Learning for Students : “Promoting collaborative learning experiences in classrooms cultivates teamwork skills, enhances communication, and exposes students to diverse perspectives.”
• Extracurricular Involvement for Students : “Student involvement in extracurricular activities and community service fosters character development, empathy, and a sense of responsibility to society.”
• Arts and Creative Expression for Students : “Integrating arts and creative expression into education sparks imagination, enhances emotional intelligence, and encourages students to think outside the box.”
• Digital Literacy for Students : “Cultivating digital literacy skills equips students to navigate the digital landscape responsibly, critically evaluate information, and contribute positively online.”
• Mindfulness in Education for Students : “Education that incorporates mindfulness and well-being practices helps students manage stress, build emotional resilience, and maintain overall mental wellness.”

Education Thesis Statement Examples for Essay

In the context of an essay, a case study thesis statement could be: “Exploring the evolution of educational technology reveals its role as a transformative force in modern classrooms, reshaping traditional teaching methods and enhancing student outcomes.”

• Effective Study Habits : “Exploring effective study habits and time management strategies equips students with the tools to optimize their learning experience and achieve academic success.”
• Role of Teachers in Student Motivation : “Analyzing the pivotal role of teachers in motivating students through innovative teaching methods and supportive mentorship enhances the learning journey.”
• Educational Technology Integration : “Examining the integration of educational technology in classrooms highlights its potential to enhance engagement, collaboration, and personalized learning.”
• Impact of Standardized Testing : “Investigating the impact of standardized testing on curriculum, instruction, and student stress provides insights into the complexities of assessment-driven education systems.”
• Importance of Early Literacy : “Highlighting the significance of early literacy development in shaping future academic achievements emphasizes the need for targeted interventions and support.”
• Holistic Assessment Approaches : “Exploring alternative assessment methods beyond exams, such as project-based assessments and portfolios, offers a comprehensive view of student learning.”
• Cultural Competence in Education : “Analyzing the importance of cultural competence in educators for creating inclusive classrooms and fostering diverse student perspectives.”
• Critical Thinking in Education : “Investigating the cultivation of critical thinking skills through interdisciplinary learning encourages students to question, analyze, and form independent viewpoints.”
• Ethics Education : “Examining the integration of ethics education across disciplines prepares students to navigate ethical dilemmas and make informed moral decisions.”
• Education and Sustainable Development : “Exploring the role of education in promoting sustainable development addresses its contribution to environmental awareness, social responsibility, and global citizenship.”

Education Thesis Statement Examples about Online Learning

Regarding online learning, a thesis might state: “The rapid expansion of online education presents opportunities for global access to quality learning, yet challenges persist in ensuring equitable access and maintaining educational rigor.”

Education Thesis Statement Examples about Online Learning:

• Rise of Online Education : “The rapid expansion of online education presents opportunities for global access to quality learning, yet challenges persist in ensuring equitable access and maintaining educational rigor.”
• Hybrid Learning Models : “Examining the effectiveness of hybrid learning models highlights the potential of combining online and in-person elements to enhance engagement and flexibility in education.”
• Synchronous and Asynchronous Online Interactions : “Investigating the role of synchronous and asynchronous online interactions in virtual classrooms reveals their impact on student engagement, peer collaboration, and instructor feedback.”
• Online Assessment Methods : “Analyzing the role of online assessments in measuring student performance raises questions about the fairness, security, and authenticity of remote evaluation methods.”
• Digital Divide in Online Learning : “Exploring the digital divide’s impact on online learning access emphasizes the need for targeted interventions to bridge technological disparities among students.”
• Massive Open Online Courses (MOOCs) : “The rise of Massive Open Online Courses (MOOCs) challenges traditional education paradigms by offering large-scale, accessible learning experiences to diverse global audiences.”
• Artificial Intelligence in Online Education : “Examining the role of artificial intelligence in personalized online education sheds light on its potential to adapt content, pacing, and assessment to individual student needs.”
• Virtual Communities and Online Learning : “Investigating the social aspects of online learning environments explores the ways virtual communities, discussions, and collaborations contribute to a sense of belonging.”
• Online Simulations and Virtual Labs : “Analyzing the benefits of online simulations and virtual labs in science education showcases their role in providing experiential learning opportunities outside traditional labs.”
• Long-Term Effects of Online Learning : “The exploration of online learning’s long-term effects on students’ social skills, time management, and self-regulation offers insights into the broader impacts of digital education.”

Education Thesis Statement Examples for Parental Involvement

Focusing on parental involvement, a thesis could be: “Active parental engagement in a child’s education significantly impacts academic performance, creating a collaborative learning environment and fostering holistic development.”

• Active Parental Engagement : “Active parental engagement in a child’s education significantly impacts academic performance, creating a collaborative learning environment and fostering holistic development.”
• Early Childhood Parental Involvement : “Investigating the influence of parental involvement in early childhood education emphasizes its role in shaping cognitive, emotional, and social foundations for lifelong learning.”
• Parent-Teacher Partnerships : “Analyzing the impact of parent-teacher partnerships on student motivation and behavior management highlights the importance of consistent communication and shared goals.”
• Parental Involvement in Remote Learning : “Exploring strategies to involve parents in remote and online learning environments addresses the need for adaptable approaches to maintain strong home-school connections.”
• Parent-Led Initiatives in Schools : “Examining the impact of parent-led initiatives in schools reveals their potential to enhance school facilities, resources, and extracurricular opportunities for all students.”
• Challenges of Parental Involvement : “Investigating the challenges faced by parents from diverse backgrounds in engaging with school activities emphasizes the importance of culturally sensitive communication and support.”
• Parent Education Workshops : “Analyzing the role of parent education workshops in enhancing parenting skills, communication, and support systems contributes to positive student outcomes.”
• Parental Involvement and Absenteeism : “Exploring the impact of parental involvement on reducing absenteeism, dropout rates, and disciplinary issues underscores its potential as a preventive measure.”
• Parental Involvement in Curriculum Decisions : “Investigating the effects of parent participation in curriculum decisions and policy-making highlights their valuable insights and contributions to shaping educational priorities.”
• Technology and Parental Involvement : “Exploring the intersection of technology and parental involvement unveils the potential of digital platforms to facilitate communication, updates, and collaboration between parents and educators.”

Education Thesis Statement Examples for Special Needs

Addressing special needs education, a thesis might read: “Inclusive education practices empower students with diverse abilities by providing tailored support, promoting social integration, and challenging stigmas surrounding disabilities.”

• Inclusive Education Practices : “Inclusive education practices empower students with diverse abilities by providing tailored support, promoting social integration, and challenging stigmas surrounding disabilities.”
• Assistive Technology in Special Education : “Examining the impact of assistive technology in special education classrooms showcases its role in enhancing communication, learning experiences, and independence for students.”
• Individualized Education Programs (IEPs) : “Analyzing the effectiveness of Individualized Education Programs (IEPs) emphasizes their significance in providing personalized learning pathways for students with special needs.”
• Parental Experiences in Special Education : “Exploring the experiences of parents of children with disabilities within the education system sheds light on the challenges they face and the importance of collaborative partnerships.”
• Educator Training for Inclusive Classrooms : “Investigating the training and professional development needs of educators in inclusive classrooms addresses the necessity of equipping teachers with diverse teaching strategies.”
• Peer Support Programs : “Analyzing the benefits of peer support programs in fostering positive relationships between students with and without disabilities underscores their role in promoting empathy and understanding.”
• Accessible Learning Materials : “Examining the impact of accessible learning materials, such as Braille, a resources, and captioning, highlights their contribution to equitable educational experiences.”
• Sensory-Friendly Environments : “Investigating the role of sensory-friendly environments in schools demonstrates their ability to create inclusive spaces that accommodate the needs of students with sensory sensitivities.”
• Transition from School to Post-School Life : “Analyzing the transition process for students with special needs from school to post-school life underscores the importance of vocational training and community integration.”
• Mental Health Support in Special Education : “Exploring the intersection of mental health support and special education reveals the need for comprehensive strategies that address the unique emotional needs of students with disabilities.”

Education Thesis Statement Examples for Gender Equity

Exploring gender equity in education, a thesis statement could be: “Implementing gender-sensitive policies and curriculum reforms is essential to eliminate gender disparities in education, empowering all students to fulfill their potential regardless of gender.

• Gender-Sensitive Education : “Implementing gender-sensitive policies and curriculum reforms is essential to eliminate gender disparities in education, empowering all students to fulfill their potential regardless of gender.”
• Gender Bias in Educational Materials : “Examining the impact of gender bias in textbooks and educational materials underscores the importance of representation and accurate portrayals of diverse gender identities.”
• Gender-Responsive Pedagogy : “Analyzing the role of gender-responsive pedagogy in promoting equitable learning experiences challenges traditional teaching practices that perpetuate gender stereotypes.”
• Teacher Expectations and Gender : “Exploring the influence of teacher expectations on student performance highlights the need to address unconscious biases that can hinder gender-equitable educational outcomes.”
• Single-Sex Education vs. Coeducation : “Investigating the impact of single-sex education versus coeducation on academic achievement and personal development offers insights into the effects of different learning environments.”
• LGBTQ+ Students in Educational Settings : “Analyzing the experiences of LGBTQ+ students in educational settings emphasizes the importance of creating safe, inclusive spaces that respect and celebrate diverse identities.”
• Gender-Balanced Leadership : “Examining the impact of gender-balanced leadership and decision-making in schools addresses the need for role models and equitable representation at all levels of education.”
• Gender-Based Violence Prevention in Schools : “Investigating the effects of gender-based violence prevention programs in schools emphasizes their role in fostering respectful relationships and safe learning environments.”
• Parental Attitudes and Gender Roles : “Analyzing the influence of parental attitudes toward gender roles on children’s educational and career aspirations underscores the need for comprehensive family and community involvement.”
• Culture, Gender Equity, and Education : “Exploring the intersection of cultural norms, gender equity, and education in diverse societies reveals the complex factors that shape educational opportunities and challenges for different genders.”

What is a Good Thesis Statement about the Lack of Education?

A strong thesis statement about the lack of education should succinctly capture the essence of the issue while outlining its significance and potential consequences. Here’s a guide to crafting a powerful thesis statement on this topic:

Example Thesis Statement: “The pervasive lack of accessible education in underserved communities perpetuates cycles of poverty, limits economic mobility, and hampers societal progress, necessitating urgent reforms to ensure equitable learning opportunities for all.”

• Identify the Issue : Clearly state the problem you’re addressing – in this case, the lack of education.
• Highlight Significance : Express why the issue matters by emphasizing its impact on individuals and society as a whole.
• Show Consequences : Indicate the adverse effects of the lack of education, such as perpetuating poverty and hindering progress.
• Mention Urgency : Communicate the importance of addressing the issue promptly, as well as the need for reform.

What is an Example of a Thesis Statement in Inclusive Education?

A thesis statement on inclusive education should emphasize the importance of creating learning environments that cater to diverse learners’ needs. Here’s a guide to crafting such a thesis statement:

Example Thesis Statement: “Inclusive education, through its emphasis on diverse learning styles, individualized support, and community engagement, fosters a holistic and equitable learning experience that empowers all students to reach their fullest potential.”

• State Inclusion as a Goal : Clearly mention that the thesis is about inclusive education.
• Highlight Diverse Learning Styles : Emphasize the importance of accommodating various learning styles and needs.
• Emphasize Individualized Support : Stress the role of personalized assistance and adaptations in inclusive education.
• Mention Community Engagement : Indicate how involving the community contributes to a successful inclusive education environment.
• Discuss Empowerment : Express how inclusive education empowers all students to achieve their best outcomes.

How Do You Write a Thesis Statement for Education? – Step by Step Guide

• Identify Your Topic : Determine the specific aspect of education you want to address.
• Understand the Issue : Gain a deep understanding of the topic’s significance, challenges, and potential impact.
• Craft a Clear Idea : Develop a concise and focused main idea or argument related to education.
• Make It Debatable : Ensure your thesis statement presents an argument or perspective that can be debated or discussed.
• Address Significance : Highlight why the topic is important and relevant in the context of education.
• Consider Counterarguments : Acknowledge potential opposing viewpoints and consider incorporating counterarguments.
• Keep It Concise : Your thesis statement should be a single, clear, and well-structured sentence.
• Reflect Your Essay’s Scope : Make sure your thesis aligns with the scope of your essay or paper.
• Revise and Refine : Review and revise your thesis statement to ensure its clarity and accuracy.
• Seek Feedback : Share your thesis statement with peers or instructors for feedback and suggestions.

Tips for Writing a Thesis Statement on Education Topics

• Be Specific : Clearly state what your paper will address within the broad topic of education.
• Avoid Generalizations : Avoid overly broad or vague statements that lack focus.
• Express a Strong Position : Your thesis should convey a clear stance on the issue.
• Consider Your Audience : Tailor your thesis to resonate with your intended audience.
• Use Precise Language : Choose words that convey your message concisely and accurately.
• Make It Unique : Craft a thesis that sets your essay apart by presenting a unique perspective.
• Reflect Your Essay Structure : Your thesis should mirror the overall structure of your essay.
• Be Open to Revisions : Be willing to adjust your thesis as your research and writing progress.
• Proofread Carefully : Ensure your thesis statement is free of grammatical and typographical errors.
• Revise as Needed : It’s okay to revise your thesis as you refine your arguments and analysis.

Remember, a strong thesis statement sets the tone for your entire essay and guides your readers in understanding the focus and direction of your work. You may also be interested in our  thesis statement for informative essay .

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The effects of online education on academic success: A meta-analysis study

• Published: 06 September 2021
• Volume 27 , pages 429–450, ( 2022 )

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• Hakan Ulum   ORCID: orcid.org/0000-0002-1398-6935 1  

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The purpose of this study is to analyze the effect of online education, which has been extensively used on student achievement since the beginning of the pandemic. In line with this purpose, a meta-analysis of the related studies focusing on the effect of online education on students’ academic achievement in several countries between the years 2010 and 2021 was carried out. Furthermore, this study will provide a source to assist future studies with comparing the effect of online education on academic achievement before and after the pandemic. This meta-analysis study consists of 27 studies in total. The meta-analysis involves the studies conducted in the USA, Taiwan, Turkey, China, Philippines, Ireland, and Georgia. The studies included in the meta-analysis are experimental studies, and the total sample size is 1772. In the study, the funnel plot, Duval and Tweedie’s Trip and Fill Analysis, Orwin’s Safe N Analysis, and Egger’s Regression Test were utilized to determine the publication bias, which has been found to be quite low. Besides, Hedge’s g statistic was employed to measure the effect size for the difference between the means performed in accordance with the random effects model. The results of the study show that the effect size of online education on academic achievement is on a medium level. The heterogeneity test results of the meta-analysis study display that the effect size does not differ in terms of class level, country, online education approaches, and lecture moderators.

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1 Introduction

Information and communication technologies have become a powerful force in transforming the educational settings around the world. The pandemic has been an important factor in transferring traditional physical classrooms settings through adopting information and communication technologies and has also accelerated the transformation. The literature supports that learning environments connected to information and communication technologies highly satisfy students. Therefore, we need to keep interest in technology-based learning environments. Clearly, technology has had a huge impact on young people's online lives. This digital revolution can synergize the educational ambitions and interests of digitally addicted students. In essence, COVID-19 has provided us with an opportunity to embrace online learning as education systems have to keep up with the rapid emergence of new technologies.

Information and communication technologies that have an effect on all spheres of life are also actively included in the education field. With the recent developments, using technology in education has become inevitable due to personal and social reasons (Usta, 2011a ). Online education may be given as an example of using information and communication technologies as a consequence of the technological developments. Also, it is crystal clear that online learning is a popular way of obtaining instruction (Demiralay et al., 2016 ; Pillay et al., 2007 ), which is defined by Horton ( 2000 ) as a way of education that is performed through a web browser or an online application without requiring an extra software or a learning source. Furthermore, online learning is described as a way of utilizing the internet to obtain the related learning sources during the learning process, to interact with the content, the teacher, and other learners, as well as to get support throughout the learning process (Ally, 2004 ). Online learning has such benefits as learning independently at any time and place (Vrasidas & MsIsaac, 2000 ), granting facility (Poole, 2000 ), flexibility (Chizmar & Walbert, 1999 ), self-regulation skills (Usta, 2011b ), learning with collaboration, and opportunity to plan self-learning process.

Even though online education practices have not been comprehensive as it is now, internet and computers have been used in education as alternative learning tools in correlation with the advances in technology. The first distance education attempt in the world was initiated by the ‘Steno Courses’ announcement published in Boston newspaper in 1728. Furthermore, in the nineteenth century, Sweden University started the “Correspondence Composition Courses” for women, and University Correspondence College was afterwards founded for the correspondence courses in 1843 (Arat & Bakan, 2011 ). Recently, distance education has been performed through computers, assisted by the facilities of the internet technologies, and soon, it has evolved into a mobile education practice that is emanating from progress in the speed of internet connection, and the development of mobile devices.

With the emergence of pandemic (Covid-19), face to face education has almost been put to a halt, and online education has gained significant importance. The Microsoft management team declared to have 750 users involved in the online education activities on the 10 th March, just before the pandemic; however, on March 24, they informed that the number of users increased significantly, reaching the number of 138,698 users (OECD, 2020 ). This event supports the view that it is better to commonly use online education rather than using it as a traditional alternative educational tool when students do not have the opportunity to have a face to face education (Geostat, 2019 ). The period of Covid-19 pandemic has emerged as a sudden state of having limited opportunities. Face to face education has stopped in this period for a long time. The global spread of Covid-19 affected more than 850 million students all around the world, and it caused the suspension of face to face education. Different countries have proposed several solutions in order to maintain the education process during the pandemic. Schools have had to change their curriculum, and many countries supported the online education practices soon after the pandemic. In other words, traditional education gave its way to online education practices. At least 96 countries have been motivated to access online libraries, TV broadcasts, instructions, sources, video lectures, and online channels (UNESCO, 2020 ). In such a painful period, educational institutions went through online education practices by the help of huge companies such as Microsoft, Google, Zoom, Skype, FaceTime, and Slack. Thus, online education has been discussed in the education agenda more intensively than ever before.

Although online education approaches were not used as comprehensively as it has been used recently, it was utilized as an alternative learning approach in education for a long time in parallel with the development of technology, internet and computers. The academic achievement of the students is often aimed to be promoted by employing online education approaches. In this regard, academicians in various countries have conducted many studies on the evaluation of online education approaches and published the related results. However, the accumulation of scientific data on online education approaches creates difficulties in keeping, organizing and synthesizing the findings. In this research area, studies are being conducted at an increasing rate making it difficult for scientists to be aware of all the research outside of their ​​expertise. Another problem encountered in the related study area is that online education studies are repetitive. Studies often utilize slightly different methods, measures, and/or examples to avoid duplication. This erroneous approach makes it difficult to distinguish between significant differences in the related results. In other words, if there are significant differences in the results of the studies, it may be difficult to express what variety explains the differences in these results. One obvious solution to these problems is to systematically review the results of various studies and uncover the sources. One method of performing such systematic syntheses is the application of meta-analysis which is a methodological and statistical approach to draw conclusions from the literature. At this point, how effective online education applications are in increasing the academic success is an important detail. Has online education, which is likely to be encountered frequently in the continuing pandemic period, been successful in the last ten years? If successful, how much was the impact? Did different variables have an impact on this effect? Academics across the globe have carried out studies on the evaluation of online education platforms and publishing the related results (Chiao et al., 2018 ). It is quite important to evaluate the results of the studies that have been published up until now, and that will be published in the future. Has the online education been successful? If it has been, how big is the impact? Do the different variables affect this impact? What should we consider in the next coming online education practices? These questions have all motivated us to carry out this study. We have conducted a comprehensive meta-analysis study that tries to provide a discussion platform on how to develop efficient online programs for educators and policy makers by reviewing the related studies on online education, presenting the effect size, and revealing the effect of diverse variables on the general impact.

There have been many critical discussions and comprehensive studies on the differences between online and face to face learning; however, the focus of this paper is different in the sense that it clarifies the magnitude of the effect of online education and teaching process, and it represents what factors should be controlled to help increase the effect size. Indeed, the purpose here is to provide conscious decisions in the implementation of the online education process.

The general impact of online education on the academic achievement will be discovered in the study. Therefore, this will provide an opportunity to get a general overview of the online education which has been practiced and discussed intensively in the pandemic period. Moreover, the general impact of online education on academic achievement will be analyzed, considering different variables. In other words, the current study will allow to totally evaluate the study results from the related literature, and to analyze the results considering several cultures, lectures, and class levels. Considering all the related points, this study seeks to answer the following research questions:

What is the effect size of online education on academic achievement?

How do the effect sizes of online education on academic achievement change according to the moderator variable of the country?

How do the effect sizes of online education on academic achievement change according to the moderator variable of the class level?

How do the effect sizes of online education on academic achievement change according to the moderator variable of the lecture?

How do the effect sizes of online education on academic achievement change according to the moderator variable of the online education approaches?

This study aims at determining the effect size of online education, which has been highly used since the beginning of the pandemic, on students’ academic achievement in different courses by using a meta-analysis method. Meta-analysis is a synthesis method that enables gathering of several study results accurately and efficiently, and getting the total results in the end (Tsagris & Fragkos, 2018 ).

2.1 Selecting and coding the data (studies)

The required literature for the meta-analysis study was reviewed in July, 2020, and the follow-up review was conducted in September, 2020. The purpose of the follow-up review was to include the studies which were published in the conduction period of this study, and which met the related inclusion criteria. However, no study was encountered to be included in the follow-up review.

In order to access the studies in the meta-analysis, the databases of Web of Science, ERIC, and SCOPUS were reviewed by utilizing the keywords ‘online learning and online education’. Not every database has a search engine that grants access to the studies by writing the keywords, and this obstacle was considered to be an important problem to be overcome. Therefore, a platform that has a special design was utilized by the researcher. With this purpose, through the open access system of Cukurova University Library, detailed reviews were practiced using EBSCO Information Services (EBSCO) that allow reviewing the whole collection of research through a sole searching box. Since the fundamental variables of this study are online education and online learning, the literature was systematically reviewed in the related databases (Web of Science, ERIC, and SCOPUS) by referring to the keywords. Within this scope, 225 articles were accessed, and the studies were included in the coding key list formed by the researcher. The name of the researchers, the year, the database (Web of Science, ERIC, and SCOPUS), the sample group and size, the lectures that the academic achievement was tested in, the country that the study was conducted in, and the class levels were all included in this coding key.

The following criteria were identified to include 225 research studies which were coded based on the theoretical basis of the meta-analysis study: (1) The studies should be published in the refereed journals between the years 2020 and 2021, (2) The studies should be experimental studies that try to determine the effect of online education and online learning on academic achievement, (3) The values of the stated variables or the required statistics to calculate these values should be stated in the results of the studies, and (4) The sample group of the study should be at a primary education level. These criteria were also used as the exclusion criteria in the sense that the studies that do not meet the required criteria were not included in the present study.

After the inclusion criteria were determined, a systematic review process was conducted, following the year criterion of the study by means of EBSCO. Within this scope, 290,365 studies that analyze the effect of online education and online learning on academic achievement were accordingly accessed. The database (Web of Science, ERIC, and SCOPUS) was also used as a filter by analyzing the inclusion criteria. Hence, the number of the studies that were analyzed was 58,616. Afterwards, the keyword ‘primary education’ was used as the filter and the number of studies included in the study decreased to 3152. Lastly, the literature was reviewed by using the keyword ‘academic achievement’ and 225 studies were accessed. All the information of 225 articles was included in the coding key.

It is necessary for the coders to review the related studies accurately and control the validity, safety, and accuracy of the studies (Stewart & Kamins, 2001 ). Within this scope, the studies that were determined based on the variables used in this study were first reviewed by three researchers from primary education field, then the accessed studies were combined and processed in the coding key by the researcher. All these studies that were processed in the coding key were analyzed in accordance with the inclusion criteria by all the researchers in the meetings, and it was decided that 27 studies met the inclusion criteria (Atici & Polat, 2010 ; Carreon, 2018 ; Ceylan & Elitok Kesici, 2017 ; Chae & Shin, 2016 ; Chiang et al. 2014 ; Ercan, 2014 ; Ercan et al., 2016 ; Gwo-Jen et al., 2018 ; Hayes & Stewart, 2016 ; Hwang et al., 2012 ; Kert et al., 2017 ; Lai & Chen, 2010 ; Lai et al., 2015 ; Meyers et al., 2015 ; Ravenel et al., 2014 ; Sung et al., 2016 ; Wang & Chen, 2013 ; Yu, 2019 ; Yu & Chen, 2014 ; Yu & Pan, 2014 ; Yu et al., 2010 ; Zhong et al., 2017 ). The data from the studies meeting the inclusion criteria were independently processed in the second coding key by three researchers, and consensus meetings were arranged for further discussion. After the meetings, researchers came to an agreement that the data were coded accurately and precisely. Having identified the effect sizes and heterogeneity of the study, moderator variables that will show the differences between the effect sizes were determined. The data related to the determined moderator variables were added to the coding key by three researchers, and a new consensus meeting was arranged. After the meeting, researchers came to an agreement that moderator variables were coded accurately and precisely.

2.2 Study group

27 studies are included in the meta-analysis. The total sample size of the studies that are included in the analysis is 1772. The characteristics of the studies included are given in Table 1 .

2.3 Publication bias

Publication bias is the low capability of published studies on a research subject to represent all completed studies on the same subject (Card, 2011 ; Littell et al., 2008 ). Similarly, publication bias is the state of having a relationship between the probability of the publication of a study on a subject, and the effect size and significance that it produces. Within this scope, publication bias may occur when the researchers do not want to publish the study as a result of failing to obtain the expected results, or not being approved by the scientific journals, and consequently not being included in the study synthesis (Makowski et al., 2019 ). The high possibility of publication bias in a meta-analysis study negatively affects (Pecoraro, 2018 ) the accuracy of the combined effect size, causing the average effect size to be reported differently than it should be (Borenstein et al., 2009 ). For this reason, the possibility of publication bias in the included studies was tested before determining the effect sizes of the relationships between the stated variables. The possibility of publication bias of this meta-analysis study was analyzed by using the funnel plot, Orwin’s Safe N Analysis, Duval and Tweedie’s Trip and Fill Analysis, and Egger’s Regression Test.

2.4 Selecting the model

After determining the probability of publication bias of this meta-analysis study, the statistical model used to calculate the effect sizes was selected. The main approaches used in the effect size calculations according to the differentiation level of inter-study variance are fixed and random effects models (Pigott, 2012 ). Fixed effects model refers to the homogeneity of the characteristics of combined studies apart from the sample sizes, while random effects model refers to the parameter diversity between the studies (Cumming, 2012 ). While calculating the average effect size in the random effects model (Deeks et al., 2008 ) that is based on the assumption that effect predictions of different studies are only the result of a similar distribution, it is necessary to consider several situations such as the effect size apart from the sample error of combined studies, characteristics of the participants, duration, scope, and pattern of the study (Littell et al., 2008 ). While deciding the model in the meta-analysis study, the assumptions on the sample characteristics of the studies included in the analysis and the inferences that the researcher aims to make should be taken into consideration. The fact that the sample characteristics of the studies conducted in the field of social sciences are affected by various parameters shows that using random effects model is more appropriate in this sense. Besides, it is stated that the inferences made with the random effects model are beyond the studies included in the meta-analysis (Field, 2003 ; Field & Gillett, 2010 ). Therefore, using random effects model also contributes to the generalization of research data. The specified criteria for the statistical model selection show that according to the nature of the meta-analysis study, the model should be selected just before the analysis (Borenstein et al., 2007 ; Littell et al., 2008 ). Within this framework, it was decided to make use of the random effects model, considering that the students who are the samples of the studies included in the meta-analysis are from different countries and cultures, the sample characteristics of the studies differ, and the patterns and scopes of the studies vary as well.

2.5 Heterogeneity

Meta-analysis facilitates analyzing the research subject with different parameters by showing the level of diversity between the included studies. Within this frame, whether there is a heterogeneous distribution between the studies included in the study or not has been evaluated in the present study. The heterogeneity of the studies combined in this meta-analysis study has been determined through Q and I 2 tests. Q test evaluates the random distribution probability of the differences between the observed results (Deeks et al., 2008 ). Q value exceeding 2 value calculated according to the degree of freedom and significance, indicates the heterogeneity of the combined effect sizes (Card, 2011 ). I 2 test, which is the complementary of the Q test, shows the heterogeneity amount of the effect sizes (Cleophas & Zwinderman, 2017 ). I 2 value being higher than 75% is explained as high level of heterogeneity.

In case of encountering heterogeneity in the studies included in the meta-analysis, the reasons of heterogeneity can be analyzed by referring to the study characteristics. The study characteristics which may be related to the heterogeneity between the included studies can be interpreted through subgroup analysis or meta-regression analysis (Deeks et al., 2008 ). While determining the moderator variables, the sufficiency of the number of variables, the relationship between the moderators, and the condition to explain the differences between the results of the studies have all been considered in the present study. Within this scope, it was predicted in this meta-analysis study that the heterogeneity can be explained with the country, class level, and lecture moderator variables of the study in terms of the effect of online education, which has been highly used since the beginning of the pandemic, and it has an impact on the students’ academic achievement in different lectures. Some subgroups were evaluated and categorized together, considering that the number of effect sizes of the sub-dimensions of the specified variables is not sufficient to perform moderator analysis (e.g. the countries where the studies were conducted).

2.6 Interpreting the effect sizes

Effect size is a factor that shows how much the independent variable affects the dependent variable positively or negatively in each included study in the meta-analysis (Dinçer, 2014 ). While interpreting the effect sizes obtained from the meta-analysis, the classifications of Cohen et al. ( 2007 ) have been utilized. The case of differentiating the specified relationships of the situation of the country, class level, and school subject variables of the study has been identified through the Q test, degree of freedom, and p significance value Fig.  1 and 2 .

3 Findings and results

The purpose of this study is to determine the effect size of online education on academic achievement. Before determining the effect sizes in the study, the probability of publication bias of this meta-analysis study was analyzed by using the funnel plot, Orwin’s Safe N Analysis, Duval and Tweedie’s Trip and Fill Analysis, and Egger’s Regression Test.

When the funnel plots are examined, it is seen that the studies included in the analysis are distributed symmetrically on both sides of the combined effect size axis, and they are generally collected in the middle and lower sections. The probability of publication bias is low according to the plots. However, since the results of the funnel scatter plots may cause subjective interpretations, they have been supported by additional analyses (Littell et al., 2008 ). Therefore, in order to provide an extra proof for the probability of publication bias, it has been analyzed through Orwin’s Safe N Analysis, Duval and Tweedie’s Trip and Fill Analysis, and Egger’s Regression Test (Table 2 ).

Table 2 consists of the results of the rates of publication bias probability before counting the effect size of online education on academic achievement. According to the table, Orwin Safe N analysis results show that it is not necessary to add new studies to the meta-analysis in order for Hedges g to reach a value outside the range of ± 0.01. The Duval and Tweedie test shows that excluding the studies that negatively affect the symmetry of the funnel scatter plots for each meta-analysis or adding their exact symmetrical equivalents does not significantly differentiate the calculated effect size. The insignificance of the Egger tests results reveals that there is no publication bias in the meta-analysis study. The results of the analysis indicate the high internal validity of the effect sizes and the adequacy of representing the studies conducted on the relevant subject.

In this study, it was aimed to determine the effect size of online education on academic achievement after testing the publication bias. In line with the first purpose of the study, the forest graph regarding the effect size of online education on academic achievement is shown in Fig.  3 , and the statistics regarding the effect size are given in Table 3 .

The flow chart of the scanning and selection process of the studies

Funnel plot graphics representing the effect size of the effects of online education on academic success

Forest graph related to the effect size of online education on academic success

The square symbols in the forest graph in Fig.  3 represent the effect sizes, while the horizontal lines show the intervals in 95% confidence of the effect sizes, and the diamond symbol shows the overall effect size. When the forest graph is analyzed, it is seen that the lower and upper limits of the combined effect sizes are generally close to each other, and the study loads are similar. This similarity in terms of study loads indicates the similarity of the contribution of the combined studies to the overall effect size.

Figure  3 clearly represents that the study of Liu and others (Liu et al., 2018 ) has the lowest, and the study of Ercan and Bilen ( 2014 ) has the highest effect sizes. The forest graph shows that all the combined studies and the overall effect are positive. Furthermore, it is simply understood from the forest graph in Fig.  3 and the effect size statistics in Table 3 that the results of the meta-analysis study conducted with 27 studies and analyzing the effect of online education on academic achievement illustrate that this relationship is on average level (= 0.409).

After the analysis of the effect size in the study, whether the studies included in the analysis are distributed heterogeneously or not has also been analyzed. The heterogeneity of the combined studies was determined through the Q and I 2 tests. As a result of the heterogeneity test, Q statistical value was calculated as 29.576. With 26 degrees of freedom at 95% significance level in the chi-square table, the critical value is accepted as 38.885. The Q statistical value (29.576) counted in this study is lower than the critical value of 38.885. The I 2 value, which is the complementary of the Q statistics, is 12.100%. This value indicates that the accurate heterogeneity or the total variability that can be attributed to variability between the studies is 12%. Besides, p value is higher than (0.285) p = 0.05. All these values [Q (26) = 29.579, p = 0.285; I2 = 12.100] indicate that there is a homogeneous distribution between the effect sizes, and fixed effects model should be used to interpret these effect sizes. However, some researchers argue that even if the heterogeneity is low, it should be evaluated based on the random effects model (Borenstein et al., 2007 ). Therefore, this study gives information about both models. The heterogeneity of the combined studies has been attempted to be explained with the characteristics of the studies included in the analysis. In this context, the final purpose of the study is to determine the effect of the country, academic level, and year variables on the findings. Accordingly, the statistics regarding the comparison of the stated relations according to the countries where the studies were conducted are given in Table 4 .

As seen in Table 4 , the effect of online education on academic achievement does not differ significantly according to the countries where the studies were conducted in. Q test results indicate the heterogeneity of the relationships between the variables in terms of countries where the studies were conducted in. According to the table, the effect of online education on academic achievement was reported as the highest in other countries, and the lowest in the US. The statistics regarding the comparison of the stated relations according to the class levels are given in Table 5 .

As seen in Table 5 , the effect of online education on academic achievement does not differ according to the class level. However, the effect of online education on academic achievement is the highest in the 4 th class. The statistics regarding the comparison of the stated relations according to the class levels are given in Table 6 .

As seen in Table 6 , the effect of online education on academic achievement does not differ according to the school subjects included in the studies. However, the effect of online education on academic achievement is the highest in ICT subject.

The obtained effect size in the study was formed as a result of the findings attained from primary studies conducted in 7 different countries. In addition, these studies are the ones on different approaches to online education (online learning environments, social networks, blended learning, etc.). In this respect, the results may raise some questions about the validity and generalizability of the results of the study. However, the moderator analyzes, whether for the country variable or for the approaches covered by online education, did not create significant differences in terms of the effect sizes. If significant differences were to occur in terms of effect sizes, we could say that the comparisons we will make by comparing countries under the umbrella of online education would raise doubts in terms of generalizability. Moreover, no study has been found in the literature that is not based on a special approach or does not contain a specific technique conducted under the name of online education alone. For instance, one of the commonly used definitions is blended education which is defined as an educational model in which online education is combined with traditional education method (Colis & Moonen, 2001 ). Similarly, Rasmussen ( 2003 ) defines blended learning as “a distance education method that combines technology (high technology such as television, internet, or low technology such as voice e-mail, conferences) with traditional education and training.” Further, Kerres and Witt (2003) define blended learning as “combining face-to-face learning with technology-assisted learning.” As it is clearly observed, online education, which has a wider scope, includes many approaches.

As seen in Table 7 , the effect of online education on academic achievement does not differ according to online education approaches included in the studies. However, the effect of online education on academic achievement is the highest in Web Based Problem Solving Approach.

4 Conclusions and discussion

Considering the developments during the pandemics, it is thought that the diversity in online education applications as an interdisciplinary pragmatist field will increase, and the learning content and processes will be enriched with the integration of new technologies into online education processes. Another prediction is that more flexible and accessible learning opportunities will be created in online education processes, and in this way, lifelong learning processes will be strengthened. As a result, it is predicted that in the near future, online education and even digital learning with a newer name will turn into the main ground of education instead of being an alternative or having a support function in face-to-face learning. The lessons learned from the early period online learning experience, which was passed with rapid adaptation due to the Covid19 epidemic, will serve to develop this method all over the world, and in the near future, online learning will become the main learning structure through increasing its functionality with the contribution of new technologies and systems. If we look at it from this point of view, there is a necessity to strengthen online education.

In this study, the effect of online learning on academic achievement is at a moderate level. To increase this effect, the implementation of online learning requires support from teachers to prepare learning materials, to design learning appropriately, and to utilize various digital-based media such as websites, software technology and various other tools to support the effectiveness of online learning (Rolisca & Achadiyah, 2014 ). According to research conducted by Rahayu et al. ( 2017 ), it has been proven that the use of various types of software increases the effectiveness and quality of online learning. Implementation of online learning can affect students' ability to adapt to technological developments in that it makes students use various learning resources on the internet to access various types of information, and enables them to get used to performing inquiry learning and active learning (Hart et al., 2019 ; Prestiadi et al., 2019 ). In addition, there may be many reasons for the low level of effect in this study. The moderator variables examined in this study could be a guide in increasing the level of practical effect. However, the effect size did not differ significantly for all moderator variables. Different moderator analyzes can be evaluated in order to increase the level of impact of online education on academic success. If confounding variables that significantly change the effect level are detected, it can be spoken more precisely in order to increase this level. In addition to the technical and financial problems, the level of impact will increase if a few other difficulties are eliminated such as students, lack of interaction with the instructor, response time, and lack of traditional classroom socialization.

In addition, COVID-19 pandemic related social distancing has posed extreme difficulties for all stakeholders to get online as they have to work in time constraints and resource constraints. Adopting the online learning environment is not just a technical issue, it is a pedagogical and instructive challenge as well. Therefore, extensive preparation of teaching materials, curriculum, and assessment is vital in online education. Technology is the delivery tool and requires close cross-collaboration between teaching, content and technology teams (CoSN, 2020 ).

Online education applications have been used for many years. However, it has come to the fore more during the pandemic process. This result of necessity has brought with it the discussion of using online education instead of traditional education methods in the future. However, with this research, it has been revealed that online education applications are moderately effective. The use of online education instead of face-to-face education applications can only be possible with an increase in the level of success. This may have been possible with the experience and knowledge gained during the pandemic process. Therefore, the meta-analysis of experimental studies conducted in the coming years will guide us. In this context, experimental studies using online education applications should be analyzed well. It would be useful to identify variables that can change the level of impacts with different moderators. Moderator analyzes are valuable in meta-analysis studies (for example, the role of moderators in Karl Pearson's typhoid vaccine studies). In this context, each analysis study sheds light on future studies. In meta-analyses to be made about online education, it would be beneficial to go beyond the moderators determined in this study. Thus, the contribution of similar studies to the field will increase more.

The purpose of this study is to determine the effect of online education on academic achievement. In line with this purpose, the studies that analyze the effect of online education approaches on academic achievement have been included in the meta-analysis. The total sample size of the studies included in the meta-analysis is 1772. While the studies included in the meta-analysis were conducted in the US, Taiwan, Turkey, China, Philippines, Ireland, and Georgia, the studies carried out in Europe could not be reached. The reason may be attributed to that there may be more use of quantitative research methods from a positivist perspective in the countries with an American academic tradition. As a result of the study, it was found out that the effect size of online education on academic achievement (g = 0.409) was moderate. In the studies included in the present research, we found that online education approaches were more effective than traditional ones. However, contrary to the present study, the analysis of comparisons between online and traditional education in some studies shows that face-to-face traditional learning is still considered effective compared to online learning (Ahmad et al., 2016 ; Hamdani & Priatna, 2020 ; Wei & Chou, 2020 ). Online education has advantages and disadvantages. The advantages of online learning compared to face-to-face learning in the classroom is the flexibility of learning time in online learning, the learning time does not include a single program, and it can be shaped according to circumstances (Lai et al., 2019 ). The next advantage is the ease of collecting assignments for students, as these can be done without having to talk to the teacher. Despite this, online education has several weaknesses, such as students having difficulty in understanding the material, teachers' inability to control students, and students’ still having difficulty interacting with teachers in case of internet network cuts (Swan, 2007 ). According to Astuti et al ( 2019 ), face-to-face education method is still considered better by students than e-learning because it is easier to understand the material and easier to interact with teachers. The results of the study illustrated that the effect size (g = 0.409) of online education on academic achievement is of medium level. Therefore, the results of the moderator analysis showed that the effect of online education on academic achievement does not differ in terms of country, lecture, class level, and online education approaches variables. After analyzing the literature, several meta-analyses on online education were published (Bernard et al., 2004 ; Machtmes & Asher, 2000 ; Zhao et al., 2005 ). Typically, these meta-analyzes also include the studies of older generation technologies such as audio, video, or satellite transmission. One of the most comprehensive studies on online education was conducted by Bernard et al. ( 2004 ). In this study, 699 independent effect sizes of 232 studies published from 1985 to 2001 were analyzed, and face-to-face education was compared to online education, with respect to success criteria and attitudes of various learners from young children to adults. In this meta-analysis, an overall effect size close to zero was found for the students' achievement (g +  = 0.01).

In another meta-analysis study carried out by Zhao et al. ( 2005 ), 98 effect sizes were examined, including 51 studies on online education conducted between 1996 and 2002. According to the study of Bernard et al. ( 2004 ), this meta-analysis focuses on the activities done in online education lectures. As a result of the research, an overall effect size close to zero was found for online education utilizing more than one generation technology for students at different levels. However, the salient point of the meta-analysis study of Zhao et al. is that it takes the average of different types of results used in a study to calculate an overall effect size. This practice is problematic because the factors that develop one type of learner outcome (e.g. learner rehabilitation), particularly course characteristics and practices, may be quite different from those that develop another type of outcome (e.g. learner's achievement), and it may even cause damage to the latter outcome. While mixing the studies with different types of results, this implementation may obscure the relationship between practices and learning.

Some meta-analytical studies have focused on the effectiveness of the new generation distance learning courses accessed through the internet for specific student populations. For instance, Sitzmann and others (Sitzmann et al., 2006 ) reviewed 96 studies published from 1996 to 2005, comparing web-based education of job-related knowledge or skills with face-to-face one. The researchers found that web-based education in general was slightly more effective than face-to-face education, but it is insufficient in terms of applicability ("knowing how to apply"). In addition, Sitzmann et al. ( 2006 ) revealed that Internet-based education has a positive effect on theoretical knowledge in quasi-experimental studies; however, it positively affects face-to-face education in experimental studies performed by random assignment. This moderator analysis emphasizes the need to pay attention to the factors of designs of the studies included in the meta-analysis. The designs of the studies included in this meta-analysis study were ignored. This can be presented as a suggestion to the new studies that will be conducted.

Another meta-analysis study was conducted by Cavanaugh et al. ( 2004 ), in which they focused on online education. In this study on internet-based distance education programs for students under 12 years of age, the researchers combined 116 results from 14 studies published between 1999 and 2004 to calculate an overall effect that was not statistically different from zero. The moderator analysis carried out in this study showed that there was no significant factor affecting the students' success. This meta-analysis used multiple results of the same study, ignoring the fact that different results of the same student would not be independent from each other.

In conclusion, some meta-analytical studies analyzed the consequences of online education for a wide range of students (Bernard et al., 2004 ; Zhao et al., 2005 ), and the effect sizes were generally low in these studies. Furthermore, none of the large-scale meta-analyzes considered the moderators, database quality standards or class levels in the selection of the studies, while some of them just referred to the country and lecture moderators. Advances in internet-based learning tools, the pandemic process, and increasing popularity in different learning contexts have required a precise meta-analysis of students' learning outcomes through online learning. Previous meta-analysis studies were typically based on the studies, involving narrow range of confounding variables. In the present study, common but significant moderators such as class level and lectures during the pandemic process were discussed. For instance, the problems have been experienced especially in terms of eligibility of class levels in online education platforms during the pandemic process. It was found that there is a need to study and make suggestions on whether online education can meet the needs of teachers and students.

Besides, the main forms of online education in the past were to watch the open lectures of famous universities and educational videos of institutions. In addition, online education is mainly a classroom-based teaching implemented by teachers in their own schools during the pandemic period, which is an extension of the original school education. This meta-analysis study will stand as a source to compare the effect size of the online education forms of the past decade with what is done today, and what will be done in the future.

Lastly, the heterogeneity test results of the meta-analysis study display that the effect size does not differ in terms of class level, country, online education approaches, and lecture moderators.

*Studies included in meta-analysis

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How to Write a Thesis Statement | 4 Steps & Examples

Published on January 11, 2019 by Shona McCombes . Revised on August 15, 2023 by Eoghan Ryan.

A thesis statement is a sentence that sums up the central point of your paper or essay . It usually comes near the end of your introduction .

Your thesis will look a bit different depending on the type of essay you’re writing. But the thesis statement should always clearly state the main idea you want to get across. Everything else in your essay should relate back to this idea.

You can write your thesis statement by following four simple steps:

• Start with a question
• Write your initial answer
• Develop your answer
• Refine your thesis statement

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Table of contents

What is a thesis statement, placement of the thesis statement, step 1: start with a question, step 2: write your initial answer, step 3: develop your answer, step 4: refine your thesis statement, types of thesis statements, other interesting articles, frequently asked questions about thesis statements.

A thesis statement summarizes the central points of your essay. It is a signpost telling the reader what the essay will argue and why.

The best thesis statements are:

• Concise: A good thesis statement is short and sweet—don’t use more words than necessary. State your point clearly and directly in one or two sentences.
• Contentious: Your thesis shouldn’t be a simple statement of fact that everyone already knows. A good thesis statement is a claim that requires further evidence or analysis to back it up.
• Coherent: Everything mentioned in your thesis statement must be supported and explained in the rest of your paper.

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The thesis statement generally appears at the end of your essay introduction or research paper introduction .

The spread of the internet has had a world-changing effect, not least on the world of education. The use of the internet in academic contexts and among young people more generally is hotly debated. For many who did not grow up with this technology, its effects seem alarming and potentially harmful. This concern, while understandable, is misguided. The negatives of internet use are outweighed by its many benefits for education: the internet facilitates easier access to information, exposure to different perspectives, and a flexible learning environment for both students and teachers.

You should come up with an initial thesis, sometimes called a working thesis , early in the writing process . As soon as you’ve decided on your essay topic , you need to work out what you want to say about it—a clear thesis will give your essay direction and structure.

You might already have a question in your assignment, but if not, try to come up with your own. What would you like to find out or decide about your topic?

For example, you might ask:

After some initial research, you can formulate a tentative answer to this question. At this stage it can be simple, and it should guide the research process and writing process .

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Now you need to consider why this is your answer and how you will convince your reader to agree with you. As you read more about your topic and begin writing, your answer should get more detailed.

In your essay about the internet and education, the thesis states your position and sketches out the key arguments you’ll use to support it.

The negatives of internet use are outweighed by its many benefits for education because it facilitates easier access to information.

In your essay about braille, the thesis statement summarizes the key historical development that you’ll explain.

The invention of braille in the 19th century transformed the lives of blind people, allowing them to participate more actively in public life.

A strong thesis statement should tell the reader:

• Why you hold this position
• What they’ll learn from your essay
• The key points of your argument or narrative

The final thesis statement doesn’t just state your position, but summarizes your overall argument or the entire topic you’re going to explain. To strengthen a weak thesis statement, it can help to consider the broader context of your topic.

These examples are more specific and show that you’ll explore your topic in depth.

Your thesis statement should match the goals of your essay, which vary depending on the type of essay you’re writing:

• In an argumentative essay , your thesis statement should take a strong position. Your aim in the essay is to convince your reader of this thesis based on evidence and logical reasoning.
• In an expository essay , you’ll aim to explain the facts of a topic or process. Your thesis statement doesn’t have to include a strong opinion in this case, but it should clearly state the central point you want to make, and mention the key elements you’ll explain.

If you want to know more about AI tools , college essays , or fallacies make sure to check out some of our other articles with explanations and examples or go directly to our tools!

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A thesis statement is a sentence that sums up the central point of your paper or essay . Everything else you write should relate to this key idea.

The thesis statement is essential in any academic essay or research paper for two main reasons:

• It gives your writing direction and focus.
• It gives the reader a concise summary of your main point.

Without a clear thesis statement, an essay can end up rambling and unfocused, leaving your reader unsure of exactly what you want to say.

Follow these four steps to come up with a thesis statement :

• Ask a question about your topic .
• Write your initial answer.
• Develop your answer by including reasons.
• Refine your answer, adding more detail and nuance.

The thesis statement should be placed at the end of your essay introduction .

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Online Education: Pros and Cons Essay

Introduction, works cited.

Online education has recently taken its place in modern society and no one could deny that it is a rather important part of any educational system of today. Nevertheless, the use of online study still arises a lot of controversial points of view because some people support the method of online education and give their arguments, while other people oppose this method and give their own arguments that are not less trustworthy.

Our aim here is to consider both points of view in order to find out the answer to the following questions: “Can the online education provide the same level of knowledge that usual college education provides?” and “What are the main points that evidence for and against online education?” In order to answer these questions, we going to consider the arguments of both sides of the issue and make the essay more specific with the help of certain examples to support both points of view.

The supporters of online education, which is also widely known as distance learning, support their point of view by saying that online education allows a larger number of people to get a higher education degree. Besides, they say that a person does not always need a teacher to learn something, i. e. one can not be taught, he or she can only teach themselves. Concerning the first argument of the supporters of online education, it is quite trustful.

For example, this method of studying allows people who are employed or have families to study in higher educational establishments. They do not need to be physically present at all classes and study full-time. With the help of online education, they can plan their study themselves, taking into consideration their working schedule, family needs, and amount of spare time.

As for the second argument of this side, it is also good because people study themselves depending only upon their wish, and no teacher can make them study (Deane, 2005, pp. 34 – 54).

On the contrary, the opponents of distance learning, state that every student needs a teacher who would guide his or her studying process. They say that a person can learn the material her/himself but there is no guarantee that he or she learn it correctly. That is why a teacher is necessary to check the knowledge of a student and guide them in the right direction.

Another argument that the opponents of online education put forward is that it is accessible not to all people. They exemplify their point of view saying that poor people do not always have access to the Internet and that makes it difficult for them to take up distance education. What is more important is that people with physical or mental disabilities also not always can take up the online course because of the complexity of its application.

For example, a person with certain local losses of memory can not use very sophisticated systems of application the online study programs and due to this, the distance learning becomes inaccessible for him or her (Deane, 2005, pp. 56 — 75).

To express my personal opinion concerning the issue of online education, I should say that I support this method of education. I believe that it presents a wide range of options for people who do not have time for usual study due to work they have or families that they must feed. Besides, online education allows people from abroad to study in any educational establishment they wish without expenses on moving to that country and living costs there.

As for the drawbacks of online education for people with disabilities, I agree that such a problem exists and I am convinced that it can be solved. One of the ways to solve it is for the educational establishments to simplify the application of distance learning programs.

Deane, S. (2005). Online Education: Is It for You? Author House: New York.

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Students’ experience of online learning during the COVID‐19 pandemic: A province‐wide survey study

Lixiang yan.

1 Centre for Learning Analytics at Monash, Faculty of Information Technology, Monash University, Clayton VIC, Australia

Alexander Whitelock‐Wainwright

2 Portfolio of the Deputy Vice‐Chancellor (Education), Monash University, Melbourne VIC, Australia

Quanlong Guan

3 Department of Computer Science, Jinan University, Guangzhou China

Gangxin Wen

4 College of Cyber Security, Jinan University, Guangzhou China

Dragan Gašević

Guanliang chen, associated data.

The data is not openly available as it is restricted by the Chinese government.

Online learning is currently adopted by educational institutions worldwide to provide students with ongoing education during the COVID‐19 pandemic. Even though online learning research has been advancing in uncovering student experiences in various settings (i.e., tertiary, adult, and professional education), very little progress has been achieved in understanding the experience of the K‐12 student population, especially when narrowed down to different school‐year segments (i.e., primary and secondary school students). This study explores how students at different stages of their K‐12 education reacted to the mandatory full‐time online learning during the COVID‐19 pandemic. For this purpose, we conducted a province‐wide survey study in which the online learning experience of 1,170,769 Chinese students was collected from the Guangdong Province of China. We performed cross‐tabulation and Chi‐square analysis to compare students’ online learning conditions, experiences, and expectations. Results from this survey study provide evidence that students’ online learning experiences are significantly different across school years. Foremost, policy implications were made to advise government authorises and schools on improving the delivery of online learning, and potential directions were identified for future research into K‐12 online learning.

Practitioner notes

What is already known about this topic

• Online learning has been widely adopted during the COVID‐19 pandemic to ensure the continuation of K‐12 education.
• Student success in K‐12 online education is substantially lower than in conventional schools.
• Students experienced various difficulties related to the delivery of online learning.

What this paper adds

• Provide empirical evidence for the online learning experience of students in different school years.
• Identify the different needs of students in primary, middle, and high school.
• Identify the challenges of delivering online learning to students of different age.

Implications for practice and/or policy

• Authority and schools need to provide sufficient technical support to students in online learning.
• The delivery of online learning needs to be customised for students in different school years.

INTRODUCTION

The ongoing COVID‐19 pandemic poses significant challenges to the global education system. By July 2020, the UN Educational, Scientific and Cultural Organization (2020) reported nationwide school closure in 111 countries, affecting over 1.07 billion students, which is around 61% of the global student population. Traditional brick‐and‐mortar schools are forced to transform into full‐time virtual schools to provide students with ongoing education (Van Lancker & Parolin,  2020 ). Consequently, students must adapt to the transition from face‐to‐face learning to fully remote online learning, where synchronous video conferences, social media, and asynchronous discussion forums become their primary venues for knowledge construction and peer communication.

For K‐12 students, this sudden transition is problematic as they often lack prior online learning experience (Barbour & Reeves,  2009 ). Barbour and LaBonte ( 2017 ) estimated that even in countries where online learning is growing rapidly, such as USA and Canada, less than 10% of the K‐12 student population had prior experience with this format. Maladaptation to online learning could expose inexperienced students to various vulnerabilities, including decrements in academic performance (Molnar et al.,  2019 ), feeling of isolation (Song et al.,  2004 ), and lack of learning motivation (Muilenburg & Berge,  2005 ). Unfortunately, with confirmed cases continuing to rise each day, and new outbreaks occur on a global scale, full‐time online learning for most students could last longer than anticipated (World Health Organization,  2020 ). Even after the pandemic, the current mass adoption of online learning could have lasting impacts on the global education system, and potentially accelerate and expand the rapid growth of virtual schools on a global scale (Molnar et al.,  2019 ). Thus, understanding students' learning conditions and their experiences of online learning during the COVID pandemic becomes imperative.

Emerging evidence on students’ online learning experience during the COVID‐19 pandemic has identified several major concerns, including issues with internet connection (Agung et al.,  2020 ; Basuony et al.,  2020 ), problems with IT equipment (Bączek et al.,  2021 ; Niemi & Kousa,  2020 ), limited collaborative learning opportunities (Bączek et al.,  2021 ; Yates et al.,  2020 ), reduced learning motivation (Basuony et al.,  2020 ; Niemi & Kousa,  2020 ; Yates et al.,  2020 ), and increased learning burdens (Niemi & Kousa,  2020 ). Although these findings provided valuable insights about the issues students experienced during online learning, information about their learning conditions and future expectations were less mentioned. Such information could assist educational authorises and institutions to better comprehend students’ difficulties and potentially improve their online learning experience. Additionally, most of these recent studies were limited to higher education, except for Yates et al. ( 2020 ) and Niemi and Kousa’s ( 2020 ) studies on senior high school students. Empirical research targeting the full spectrum of K‐12students remain scarce. Therefore, to address these gaps, the current paper reports the findings of a large‐scale study that sought to explore K‐12 students’ online learning experience during the COVID‐19 pandemic in a provincial sample of over one million Chinese students. The findings of this study provide policy recommendations to educational institutions and authorities regarding the delivery of K‐12 online education.

LITERATURE REVIEW

Learning conditions and technologies.

Having stable access to the internet is critical to students’ learning experience during online learning. Berge ( 2005 ) expressed the concern of the divide in digital‐readiness, and the pedagogical approach between different countries could influence students’ online learning experience. Digital‐readiness is the availability and adoption of information technologies and infrastructures in a country. Western countries like America (3rd) scored significantly higher in digital‐readiness compared to Asian countries like China (54th; Cisco,  2019 ). Students from low digital‐readiness countries could experience additional technology‐related problems. Supporting evidence is emerging in recent studies conducted during the COVID‐19 pandemic. In Egypt's capital city, Basuony et al. ( 2020 ) found that only around 13.9%of the students experienced issues with their internet connection. Whereas more than two‐thirds of the students in rural Indonesia reported issues of unstable internet, insufficient internet data, and incompatible learning device (Agung et al.,  2020 ).

Another influential factor for K‐12 students to adequately adapt to online learning is the accessibility of appropriate technological devices, especially having access to a desktop or a laptop (Barbour et al., 2018 ). However, it is unlikely for most of the students to satisfy this requirement. Even in higher education, around 76% of students reported having incompatible devices for online learning and only 15% of students used laptop for online learning, whereas around 85% of them used smartphone (Agung et al.,  2020 ). It is very likely that K‐12 students also suffer from this availability issue as they depend on their parents to provide access to relevant learning devices.

Technical issues surrounding technological devices could also influence students’ experience in online learning. (Barbour & Reeves,  2009 ) argues that students need to have a high level of digital literacy to find and use relevant information and communicate with others through technological devices. Students lacking this ability could experience difficulties in online learning. Bączek et al. ( 2021 ) found that around 54% of the medical students experienced technical problems with IT equipment and this issue was more prevalent in students with lower years of tertiary education. Likewise, Niemi and Kousa ( 2020 ) also find that students in a Finish high school experienced increased amounts of technical problems during the examination period, which involved additional technical applications. These findings are concerning as young children and adolescent in primary and lower secondary school could be more vulnerable to these technical problems as they are less experienced with the technologies in online learning (Barbour & LaBonte,  2017 ). Therefore, it is essential to investigate the learning conditions and the related difficulties experienced by students in K‐12 education as the extend of effects on them remain underexplored.

Learning experience and interactions

Apart from the aforementioned issues, the extent of interaction and collaborative learning opportunities available in online learning could also influence students’ experience. The literature on online learning has long emphasised the role of effective interaction for the success of student learning. According to Muirhead and Juwah ( 2004 ), interaction is an event that can take the shape of any type of communication between two or subjects and objects. Specifically, the literature acknowledges the three typical forms of interactions (Moore,  1989 ): (i) student‐content, (ii) student‐student, and (iii) student‐teacher. Anderson ( 2003 ) posits, in the well‐known interaction equivalency theorem, learning experiences will not deteriorate if only one of the three interaction is of high quality, and the other two can be reduced or even eliminated. Quality interaction can be accomplished by across two dimensions: (i) structure—pedagogical means that guide student interaction with contents or other students and (ii) dialogue—communication that happens between students and teachers and among students. To be able to scale online learning and prevent the growth of teaching costs, the emphasise is typically on structure (i.e., pedagogy) that can promote effective student‐content and student‐student interaction. The role of technology and media is typically recognised as a way to amplify the effect of pedagogy (Lou et al.,  2006 ). Novel technological innovations—for example learning analytics‐based personalised feedback at scale (Pardo et al.,  2019 ) —can also empower teachers to promote their interaction with students.

Online education can lead to a sense of isolation, which can be detrimental to student success (McInnerney & Roberts,  2004 ). Therefore, integration of social interaction into pedagogy for online learning is essential, especially at the times when students do not actually know each other or have communication and collaboration skills underdeveloped (Garrison et al.,  2010 ; Gašević et al.,  2015 ). Unfortunately, existing evidence suggested that online learning delivery during the COVID‐19 pandemic often lacks interactivity and collaborative experiences (Bączek et al.,  2021 ; Yates et al.,  2020 ). Bączek et al., ( 2021 ) found that around half of the medical students reported reduced interaction with teachers, and only 4% of students think online learning classes are interactive. Likewise, Yates et al. ( 2020 )’s study in high school students also revealed that over half of the students preferred in‐class collaboration over online collaboration as they value the immediate support and the proximity to teachers and peers from in‐class interaction.

Learning expectations and age differentiation

Although these studies have provided valuable insights and stressed the need for more interactivity in online learning, K‐12 students in different school years could exhibit different expectations for the desired activities in online learning. Piaget's Cognitive Developmental Theory illustrated children's difficulties in understanding abstract and hypothetical concepts (Thomas,  2000 ). Primary school students will encounter many abstract concepts in their STEM education (Uttal & Cohen,  2012 ). In face‐to‐face learning, teachers provide constant guidance on students’ learning progress and can help them to understand difficult concepts. Unfortunately, the level of guidance significantly drops in online learning, and, in most cases, children have to face learning obstacles by themselves (Barbour,  2013 ). Additionally, lower primary school students may lack the metacognitive skills to use various online learning functions, maintain engagement in synchronous online learning, develop and execute self‐regulated learning plans, and engage in meaningful peer interactions during online learning (Barbour,  2013 ; Broadbent & Poon,  2015 ; Huffaker & Calvert, 2003; Wang et al.,  2013 ). Thus, understanding these younger students’ expectations is imperative as delivering online learning to them in the same way as a virtual high school could hinder their learning experiences. For students with more matured metacognition, their expectations of online learning could be substantially different from younger students. Niemi et al.’s study ( 2020 ) with students in a Finish high school have found that students often reported heavy workload and fatigue during online learning. These issues could cause anxiety and reduce students’ learning motivation, which would have negative consequences on their emotional well‐being and academic performance (Niemi & Kousa,  2020 ; Yates et al.,  2020 ), especially for senior students who are under the pressure of examinations. Consequently, their expectations of online learning could be orientated toward having additional learning support functions and materials. Likewise, they could also prefer having more opportunities for peer interactions as these interactions are beneficial to their emotional well‐being and learning performance (Gašević et al., 2013 ; Montague & Rinaldi, 2001 ). Therefore, it is imperative to investigate the differences between online learning expectations in students of different school years to suit their needs better.

Research questions

By building upon the aforementioned relevant works, this study aimed to contribute to the online learning literature with a comprehensive understanding of the online learning experience that K‐12 students had during the COVID‐19 pandemic period in China. Additionally, this study also aimed to provide a thorough discussion of what potential actions can be undertaken to improve online learning delivery. Formally, this study was guided by three research questions (RQs):

RQ1 . What learning conditions were experienced by students across 12 years of education during their online learning process in the pandemic period? RQ2 . What benefits and obstacles were perceived by students across 12 years of education when performing online learning? RQ3 . What expectations do students, across 12 years of education, have for future online learning practices ?

Participants

The total number of K‐12 students in the Guangdong Province of China is around 15 million. In China, students of Year 1–6, Year 7–9, and Year 10–12 are referred to as students of primary school, middle school, and high school, respectively. Typically, students in China start their study in primary school at the age of around six. At the end of their high‐school study, students have to take the National College Entrance Examination (NCEE; also known as Gaokao) to apply for tertiary education. The survey was administrated across the whole Guangdong Province, that is the survey was exposed to all of the 15 million K‐12 students, though it was not mandatory for those students to accomplish the survey. A total of 1,170,769 students completed the survey, which accounts for a response rate of 7.80%. After removing responses with missing values and responses submitted from the same IP address (duplicates), we had 1,048,575 valid responses, which accounts to about 7% of the total K‐12 students in the Guangdong Province. The number of students in different school years is shown in Figure  1 . Overall, students were evenly distributed across different school years, except for a smaller sample in students of Year 10–12.

The number of students in each school year

Survey design

The survey was designed collaboratively by multiple relevant parties. Firstly, three educational researchers working in colleges and universities and three educational practitioners working in the Department of Education in Guangdong Province were recruited to co‐design the survey. Then, the initial draft of the survey was sent to 30 teachers from different primary and secondary schools, whose feedback and suggestions were considered to improve the survey. The final survey consisted of a total of 20 questions, which, broadly, can be classified into four categories: demographic, behaviours, experiences, and expectations. Details are available in Appendix.

All K‐12 students in the Guangdong Province were made to have full‐time online learning from March 1, 2020 after the outbreak of COVID‐19 in January in China. A province‐level online learning platform was provided to all schools by the government. In addition to the learning platform, these schools can also use additional third‐party platforms to facilitate the teaching activities, for example WeChat and Dingding, which provide services similar to WhatsApp and Zoom. The main change for most teachers was that they had to shift the classroom‐based lectures to online lectures with the aid of web‐conferencing tools. Similarly, these teachers also needed to perform homework marking and have consultation sessions in an online manner.

The Department of Education in the Guangdong Province of China distributed the survey to all K‐12 schools in the province on March 21, 2020 and collected responses on March 26, 2020. Students could access and answer the survey anonymously by either scan the Quick Response code along with the survey or click the survey address link on their mobile device. The survey was administrated in a completely voluntary manner and no incentives were given to the participants. Ethical approval was granted by the Department of Education in the Guangdong Province. Parental approval was not required since the survey was entirely anonymous and facilitated by the regulating authority, which satisfies China's ethical process.

The original survey was in Chinese, which was later translated by two bilingual researchers and verified by an external translator who is certified by the Australian National Accreditation Authority of Translators and Interpreters. The original and translated survey questionnaires are available in Supporting Information. Given the limited space we have here and the fact that not every survey item is relevant to the RQs, the following items were chosen to answer the RQs: item Q3 (learning media) and Q11 (learning approaches) for RQ1, item Q13 (perceived obstacle) and Q19 (perceived benefits) for RQ2, and item Q19 (expected learning activities) for RQ3. Cross‐tabulation based approaches were used to analyse the collected data. To scrutinise whether the differences displayed by students of different school years were statistically significant, we performed Chi‐square tests and calculated the Cramer's V to assess the strengths of the association after chi‐square had determined significance.

For the analyses, students were segmented into four categories based on their school years, that is Year 1–3, Year 4–6, Year 7–9, and Year 10–12, to provide a clear understanding of the different experiences and needs that different students had for online learning. This segmentation was based on the educational structure of Chinese schools: elementary school (Year 1–6), middle school (Year 7–9), and high school (Year 10–12). Children in elementary school can further be segmented into junior (Year 1–3) or senior (Year 4–6) students because senior elementary students in China are facing more workloads compared to junior students due to the provincial Middle School Entry Examination at the end of Year 6.

Learning conditions—RQ1

Learning media.

The Chi‐square test showed significant association between school years and students’ reported usage of learning media, χ 2 (55, N  = 1,853,952) = 46,675.38, p  < 0.001. The Cramer's V is 0.07 ( df ∗ = 5), which indicates a small‐to‐medium effect according to Cohen’s ( 1988 ) guidelines. Based on Figure  2 , we observed that an average of up to 87.39% students used smartphones to perform online learning, while only 25.43% students used computer, which suggests that smartphones, with widespread availability in China (2020), have been adopted by students for online learning. As for the prevalence of the two media, we noticed that both smartphones ( χ 2 (3, N  = 1,048,575) = 9,395.05, p < 0.001, Cramer's V  = 0.10 ( df ∗ = 1)) and computers ( χ 2 (3, N  = 1,048,575) = 11,025.58, p <.001, Cramer's V  = 0.10 ( df ∗ = 1)) were more adopted by high‐school‐year (Year 7–12) than early‐school‐year students (Year 1–6), both with a small effect size. Besides, apparent discrepancies can be observed between the usages of TV and paper‐based materials across different school years, that is early‐school‐year students reported more TV usage ( χ 2 (3, N  = 1,048,575) = 19,505.08, p <.001), with a small‐to‐medium effect size, Cramer's V  = 0.14( df ∗ = 1). High‐school‐year students (especially Year 10–12) reported more usage of paper‐based materials ( χ 2 (3, N  = 1,048,575) = 23,401.64, p < 0.001), with a small‐to‐medium effect size, Cramer's V  = 0.15( df ∗ = 1).

Learning media used by students in online learning

Learning approaches

School years is also significantly associated with the different learning approaches students used to tackle difficult concepts during online learning, χ 2 (55, N  = 2,383,751) = 58,030.74, p < 0.001. The strength of this association is weak to moderate as shown by the Cramer's V (0.07, df ∗ = 5; Cohen,  1988 ). When encountering problems related to difficult concepts, students typically chose to “solve independently by searching online” or “rewatch recorded lectures” instead of consulting to their teachers or peers (Figure  3 ). This is probably because, compared to classroom‐based education, it is relatively less convenient and more challenging for students to seek help from others when performing online learning. Besides, compared to high‐school‐year students, early‐school‐year students (Year 1–6), reported much less use of “solve independently by searching online” ( χ 2 (3, N  = 1,048,575) = 48,100.15, p <.001), with a small‐to‐medium effect size, Cramer's V  = 0.21 ( df ∗ = 1). Also, among those approaches of seeking help from others, significantly more high‐school‐year students preferred “communicating with other students” than early‐school‐year students ( χ 2 (3, N  = 1,048,575) = 81,723.37, p < 0.001), with a medium effect size, Cramer's V  = 0.28 ( df ∗ = 1).

Learning approaches used by students in online learning

Perceived benefits and obstacles—RQ2

Perceived benefits.

The association between school years and perceived benefits in online learning is statistically significant, χ 2 (66, N  = 2,716,127) = 29,534.23, p  < 0.001, and the Cramer's V (0.04, df ∗ = 6) indicates a small effect (Cohen,  1988 ). Unsurprisingly, benefits brought by the convenience of online learning are widely recognised by students across all school years (Figure  4 ), that is up to 75% of students reported that it is “more convenient to review course content” and 54% said that they “can learn anytime and anywhere” . Besides, we noticed that about 50% of early‐school‐year students appreciated the “access to courses delivered by famous teachers” and 40%–47% of high‐school‐year students indicated that online learning is “helpful to develop self‐regulation and autonomy” .

Perceived benefits of online learning reported by students

Perceived obstacles

The Chi‐square test shows a significant association between school years and students’ perceived obstacles in online learning, χ 2 (77, N  = 2,699,003) = 31,987.56, p < 0.001. This association is relatively weak as shown by the Cramer's V (0.04, df ∗ = 7; Cohen,  1988 ). As shown in Figure  5 , the biggest obstacles encountered by up to 73% of students were the “eyestrain caused by long staring at screens” . Disengagement caused by nearby disturbance was reported by around 40% of students, especially those of Year 1–3 and 10–12. Technological‐wise, about 50% of students experienced poor Internet connection during their learning process, and around 20% of students reported the “confusion in setting up the platforms” across of school years.

Perceived obstacles of online learning reported by students

Expectations for future practices of online learning – RQ3

Online learning activities.

The association between school years and students’ expected online learning activities is significant, χ 2 (66, N  = 2,416,093) = 38,784.81, p < 0.001. The Cramer's V is 0.05 ( df ∗ = 6) which suggests a small effect (Cohen,  1988 ). As shown in Figure  6 , the most expected activity for future online learning is “real‐time interaction with teachers” (55%), followed by “online group discussion and collaboration” (38%). We also observed that more early‐school‐year students expect reflective activities, such as “regular online practice examinations” ( χ 2 (3, N  = 1,048,575) = 11,644.98, p < 0.001), with a small effect size, Cramer's V  = 0.11 ( df ∗ = 1). In contrast, more high‐school‐year students expect “intelligent recommendation system …” ( χ 2 (3, N  = 1,048,575) = 15,327.00, p < 0.001), with a small effect size, Cramer's V  = 0.12 ( df ∗ = 1).

Students’ expected online learning activities

Regarding students’ learning conditions, substantial differences were observed in learning media, family dependency, and learning approaches adopted in online learning between students in different school years. The finding of more computer and smartphone usage in high‐school‐year than early‐school‐year students can probably be explained by that, with the growing abilities in utilising these media as well as the educational systems and tools which run on these media, high‐school‐year students tend to make better use of these media for online learning practices. Whereas, the differences in paper‐based materials may imply that high‐school‐year students in China have to accomplish a substantial amount of exercise, assignments, and exam papers to prepare for the National College Entrance Examination (NCEE), whose delivery was not entirely digitised due to the sudden transition to online learning. Meanwhile, high‐school‐year students may also have preferred using paper‐based materials for exam practice, as eventually, they would take their NCEE in the paper format. Therefore, these substantial differences in students’ usage of learning media should be addressed by customising the delivery method of online learning for different school years.

Other than these between‐age differences in learning media, the prevalence of smartphone in online learning resonates with Agung et al.’s ( 2020 ) finding on the issues surrounding the availability of compatible learning device. The prevalence of smartphone in K‐12 students is potentially problematic as the majority of the online learning platform and content is designed for computer‐based learning (Berge,  2005 ; Molnar et al.,  2019 ). Whereas learning with smartphones has its own unique challenges. For example, Gikas and Grant ( 2013 ) discovered that students who learn with smartphone experienced frustration with the small screen‐size, especially when trying to type with the tiny keypad. Another challenge relates to the distraction of various social media applications. Although similar distractions exist in computer and web‐based social media, the level of popularity, especially in the young generation, are much higher in mobile‐based social media (Montag et al.,  2018 ). In particular, the message notification function in smartphones could disengage students from learning activities and allure them to social media applications (Gikas & Grant,  2013 ). Given these challenges of learning with smartphones, more research efforts should be devoted to analysing students’ online learning behaviour in the setting of mobile learning to accommodate their needs better.

The differences in learning approaches, once again, illustrated that early‐school‐year students have different needs compared to high‐school‐year students. In particular, the low usage of the independent learning methods in early‐school‐year students may reflect their inability to engage in independent learning. Besides, the differences in help seeking behaviours demonstrated the distinctive needs for communication and interaction between different students, that is early‐school‐year students have a strong reliance on teachers and high‐school‐year students, who are equipped with stronger communication ability, are more inclined to interact with their peers. This finding implies that the design of online learning platforms should take students’ different needs into account. Thus, customisation is urgently needed for the delivery of online learning to different school years.

In terms of the perceived benefits and challenges of online learning, our results resonate with several previous findings. In particular, the benefits of convenience are in line with the flexibility advantages of online learning, which were mentioned in prior works (Appana,  2008 ; Bączek et al.,  2021 ; Barbour,  2013 ; Basuony et al.,  2020 ; Harvey et al.,  2014 ). Early‐school‐year students’ higher appreciation in having “access to courses delivered by famous teachers” and lower appreciation in the independent learning skills developed through online learning are also in line with previous literature (Barbour,  2013 ; Harvey et al.,  2014 ; Oliver et al.,  2009 ). Again, these similar findings may indicate the strong reliance that early‐school‐year students place on teachers, while high‐school‐year students are more capable of adapting to online learning by developing independent learning skills.

Technology‐wise, students’ experience of poor internet connection and confusion in setting up online learning platforms are particularly concerning. The problem of poor internet connection corroborated the findings reported in prior studies (Agung et al.,  2020 ; Barbour,  2013 ; Basuony et al.,  2020 ; Berge,  2005 ; Rice,  2006 ), that is the access issue surrounded the digital divide as one of the main challenges of online learning. In the era of 4G and 5G networks, educational authorities and institutions that deliver online education could fall into the misconception of most students have a stable internet connection at home. The internet issue we observed is particularly vital to students’ online learning experience as most students prefer real‐time communications (Figure  6 ), which rely heavily on stable internet connection. Likewise, the finding of students’ confusion in technology is also consistent with prior studies (Bączek et al.,  2021 ; Muilenburg & Berge,  2005 ; Niemi & Kousa,  2020 ; Song et al.,  2004 ). Students who were unsuccessfully in setting up the online learning platforms could potentially experience declines in confidence and enthusiasm for online learning, which would cause a subsequent unpleasant learning experience. Therefore, both the readiness of internet infrastructure and student technical skills remain as the significant challenges for the mass‐adoption of online learning.

On the other hand, students’ experience of eyestrain from extended screen time provided empirical evidence to support Spitzer’s ( 2001 ) speculation about the potential ergonomic impact of online learning. This negative effect is potentially related to the prevalence of smartphone device and the limited screen size of these devices. This finding not only demonstrates the potential ergonomic issues that would be caused by smartphone‐based online learning but also resonates with the aforementioned necessity of different platforms and content designs for different students.

A less‐mentioned problem in previous studies on online learning experiences is the disengagement caused by nearby disturbance, especially in Year 1–3 and 10–12. It is likely that early‐school‐year students suffered from this problem because of their underdeveloped metacognitive skills to concentrate on online learning without teachers’ guidance. As for high‐school‐year students, the reasons behind their disengagement require further investigation in the future. Especially it would be worthwhile to scrutinise whether this type of disengagement is caused by the substantial amount of coursework they have to undertake and the subsequent a higher level of pressure and a lower level of concentration while learning.

Across age‐level differences are also apparent in terms of students’ expectations of online learning. Although, our results demonstrated students’ needs of gaining social interaction with others during online learning, findings (Bączek et al.,  2021 ; Harvey et al.,  2014 ; Kuo et al.,  2014 ; Liu & Cavanaugh,  2012 ; Yates et al.,  2020 ). This need manifested differently across school years, with early‐school‐year students preferring more teacher interactions and learning regulation support. Once again, this finding may imply that early‐school‐year students are inadequate in engaging with online learning without proper guidance from their teachers. Whereas, high‐school‐year students prefer more peer interactions and recommendation to learning resources. This expectation can probably be explained by the large amount of coursework exposed to them. Thus, high‐school‐year students need further guidance to help them better direct their learning efforts. These differences in students’ expectations for future practices could guide the customisation of online learning delivery.

Implications

As shown in our results, improving the delivery of online learning not only requires the efforts of policymakers but also depend on the actions of teachers and parents. The following sub‐sections will provide recommendations for relevant stakeholders and discuss their essential roles in supporting online education.

Technical support

The majority of the students has experienced technical problems during online learning, including the internet lagging and confusion in setting up the learning platforms. These problems with technology could impair students’ learning experience (Kauffman,  2015 ; Muilenburg & Berge,  2005 ). Educational authorities and schools should always provide a thorough guide and assistance for students who are experiencing technical problems with online learning platforms or other related tools. Early screening and detection could also assist schools and teachers to direct their efforts more effectively in helping students with low technology skills (Wilkinson et al.,  2010 ). A potential identification method involves distributing age‐specific surveys that assess students’ Information and Communication Technology (ICT) skills at the beginning of online learning. For example, there are empirical validated ICT surveys available for both primary (Aesaert et al.,  2014 ) and high school (Claro et al.,  2012 ) students.

For students who had problems with internet lagging, the delivery of online learning should provide options that require fewer data and bandwidth. Lecture recording is the existing option but fails to address students’ need for real‐time interaction (Clark et al.,  2015 ; Malik & Fatima,  2017 ). A potential alternative involves providing students with the option to learn with digital or physical textbooks and audio‐conferencing, instead of screen sharing and video‐conferencing. This approach significantly reduces the amount of data usage and lowers the requirement of bandwidth for students to engage in smooth online interactions (Cisco,  2018 ). It also requires little additional efforts from teachers as official textbooks are often available for each school year, and thus, they only need to guide students through the materials during audio‐conferencing. Educational authority can further support this approach by making digital textbooks available for teachers and students, especially those in financial hardship. However, the lack of visual and instructor presence could potentially reduce students’ attention, recall of information, and satisfaction in online learning (Wang & Antonenko,  2017 ). Therefore, further research is required to understand whether the combination of digital or physical textbooks and audio‐conferencing is appropriate for students with internet problems. Alternatively, suppose the local technological infrastructure is well developed. In that case, governments and schools can also collaborate with internet providers to issue data and bandwidth vouchers for students who are experiencing internet problems due to financial hardship.

For future adoption of online learning, policymakers should consider the readiness of the local internet infrastructure. This recommendation is particularly important for developing countries, like Bangladesh, where the majority of the students reported the lack of internet infrastructure (Ramij & Sultana,  2020 ). In such environments, online education may become infeasible, and alternative delivery method could be more appropriate, for example, the Telesecundaria program provides TV education for rural areas of Mexico (Calderoni,  1998 ).

Other than technical problems, choosing a suitable online learning platform is also vital for providing students with a better learning experience. Governments and schools should choose an online learning platform that is customised for smartphone‐based learning, as the majority of students could be using smartphones for online learning. This recommendation is highly relevant for situations where students are forced or involuntarily engaged in online learning, like during the COVID‐19 pandemic, as they might not have access to a personal computer (Molnar et al.,  2019 ).

Customisation of delivery methods

Customising the delivery of online learning for students in different school years is the theme that appeared consistently across our findings. This customisation process is vital for making online learning an opportunity for students to develop independent learning skills, which could help prepare them for tertiary education and lifelong learning. However, the pedagogical design of K‐12 online learning programs should be differentiated from adult‐orientated programs as these programs are designed for independent learners, which is rarely the case for students in K‐12 education (Barbour & Reeves,  2009 ).

For early‐school‐year students, especially Year 1–3 students, providing them with sufficient guidance from both teachers and parents should be the priority as these students often lack the ability to monitor and reflect on learning progress. In particular, these students would prefer more real‐time interaction with teachers, tutoring from parents, and regular online practice examinations. These forms of guidance could help early‐school‐year students to cope with involuntary online learning, and potentially enhance their experience in future online learning. It should be noted that, early‐school‐year students demonstrated interest in intelligent monitoring and feedback systems for learning. Additional research is required to understand whether these young children are capable of understanding and using learning analytics that relay information on their learning progress. Similarly, future research should also investigate whether young children can communicate effectively through digital tools as potential inability could hinder student learning in online group activities. Therefore, the design of online learning for early‐school‐year students should focus less on independent learning but ensuring that students are learning effective under the guidance of teachers and parents.

In contrast, group learning and peer interaction are essential for older children and adolescents. The delivery of online learning for these students should focus on providing them with more opportunities to communicate with each other and engage in collaborative learning. Potential methods to achieve this goal involve assigning or encouraging students to form study groups (Lee et al.,  2011 ), directing students to use social media for peer communication (Dabbagh & Kitsantas,  2012 ), and providing students with online group assignments (Bickle & Rucker,  2018 ).

Special attention should be paid to students enrolled in high schools. For high‐school‐year students, in particular, students in Year 10–12, we also recommend to provide them with sufficient access to paper‐based learning materials, such as revision booklet and practice exam papers, so they remain familiar with paper‐based examinations. This recommendation applies to any students who engage in online learning but has to take their final examination in paper format. It is also imperative to assist high‐school‐year students who are facing examinations to direct their learning efforts better. Teachers can fulfil this need by sharing useful learning resources on the learning management system, if it is available, or through social media groups. Alternatively, students are interested in intelligent recommendation systems for learning resources, which are emerging in the literature (Corbi & Solans,  2014 ; Shishehchi et al.,  2010 ). These systems could provide personalised recommendations based on a series of evaluation on learners’ knowledge. Although it is infeasible for situations where the transformation to online learning happened rapidly (i.e., during the COVID‐19 pandemic), policymakers can consider embedding such systems in future online education.

Limitations

The current findings are limited to primary and secondary Chinese students who were involuntarily engaged in online learning during the COVID‐19 pandemic. Despite the large sample size, the population may not be representative as participants are all from a single province. Also, information about the quality of online learning platforms, teaching contents, and pedagogy approaches were missing because of the large scale of our study. It is likely that the infrastructures of online learning in China, such as learning platforms, instructional designs, and teachers’ knowledge about online pedagogy, were underprepared for the sudden transition. Thus, our findings may not represent the experience of students who voluntarily participated in well‐prepared online learning programs, in particular, the virtual school programs in America and Canada (Barbour & LaBonte,  2017 ; Molnar et al.,  2019 ). Lastly, the survey was only evaluated and validated by teachers but not students. Therefore, students with the lowest reading comprehension levels might have a different understanding of the items’ meaning, especially terminologies that involve abstract contracts like self‐regulation and autonomy in item Q17.

In conclusion, we identified across‐year differences between primary and secondary school students’ online learning experience during the COVID‐19 pandemic. Several recommendations were made for the future practice and research of online learning in the K‐12 student population. First, educational authorities and schools should provide sufficient technical support to help students to overcome potential internet and technical problems, as well as choosing online learning platforms that have been customised for smartphones. Second, customising the online pedagogy design for students in different school years, in particular, focusing on providing sufficient guidance for young children, more online collaborative opportunity for older children and adolescent, and additional learning resource for senior students who are facing final examinations.

CONFLICT OF INTEREST

There is no potential conflict of interest in this study.

ETHICS STATEMENT

The data are collected by the Department of Education of the Guangdong Province who also has the authority to approve research studies in K12 education in the province.

Supporting information

Supplementary Material

ACKNOWLEDGEMENTS

This work is supported by the National Natural Science Foundation of China (62077028, 61877029), the Science and Technology Planning Project of Guangdong (2020B0909030005, 2020B1212030003, 2020ZDZX3013, 2019B1515120010, 2018KTSCX016, 2019A050510024), the Science and Technology Planning Project of Guangzhou (201902010041), and the Fundamental Research Funds for the Central Universities (21617408, 21619404).

SURVEY ITEMS

Yan, L , Whitelock‐Wainwright, A , Guan, Q , Wen, G , Gašević, D , & Chen, G . Students’ experience of online learning during the COVID‐19 pandemic: A province‐wide survey study . Br J Educ Technol . 2021; 52 :2038–2057. 10.1111/bjet.13102 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]

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Comparative Essay Example: In-Person vs. Online Learning

As technology advances, the way of living changes in all aspects. A major change that is occurring is the opportunity for students to attend in-person schooling, physically sitting at a desk along with other students, or learning online. The best way to learn is unique to the individual student, and whether learning is virtually or face-to-face, there will be many similarities and differences. The better fit for a student might be one they never considered would work for them. When evaluating the form of learning, it is important to look at the environment: resources, teaching style, flexibility, teachers, and structure. 

There are many similarities between in-person and online learning. To start, both types of classroom settings have access to many resources: tutors, teacher conferences, or extra study material. An example could be the Chemeketa writing center which offers meetings in person or virtually (College). In both forms of learning one could find many opportunities for extracurricular activities or clubs. The student can decide to arrange themselves to either scenario with a wide range of attendance options. A recent example of that would be a past parent theatre meeting, where those who could not make it in person to the auditorium, had the chance to attend via zoom. Another resemblance in learning would be the type of materials that teachers instruct their students with, which is overall the same. This could include, assignments and test material. The workload remains roughly the same as well. Although there are many similarities between in-person classes and online learning, they become different when it comes to the social aspect.

 In a classroom, students have the chance to learn with an active teaching style--one not easily offered through an online setting. Students during in-person learning, voluntarily participate in group discussions, while online learning is mainly silent zoom sessions. This is mainly because circumstances have changed for remote learning to happen and students’ lack of willingness to communicate to a screen (Morin). Human interaction is essential “in assisting the learner to organize their thoughts, reflect on their understanding, and find gaps in their reasoning,” although most of it is found through a physical classroom setting (Okita). Along with easier learning for group discussions, the more people participate, the wider the range of perspectives will be.  While in-person learning primarily has a structured schedule that only requires the student to complete work on certain days, self-directed skills are necessary to successfully pass online courses. Despite the distinct differences between the learning environments, there are positives to both sides.

One essential resemblance for remote earning and face-to-face would be the teachers or professors. They adapt and learn new techniques to engage their students. The instructor directing the students throughout all the material is what allows both resources to work. During in-person learning teaching could use more methods and experiments; in online learning, there are more virtual labs and videos. They both give out different information but are essential for each. For example during online learning, a teacher’s material could look like, recorded lectures, Youtube videos, or online assignments. The pace a student learns during either learning setting is dependent on the teacher. Ultimately, it is teachers who during online and virtual classes direct the information needed for students to learn. 

Another main difference stems from availability and flexibility for both ways of learning. In-person is more of a fixed environment, which can also limit the number of people attending. Students who go in person are required to go to class and meet attendance daily. Because of the difficulty to schedule around the school for students who work full time, it becomes an inconvenience to ever have free time.  For a smaller classroom setting the maximum number of students is no more than 25 in one place. Online that number can significantly increase and allow for more students to participate. This can also include students from a variety of locations around the world, where all they need is the internet to connect. There is a great deal of flexibility offered, in contrast to in-person learning with a strict schedule. Some students prefer an online setting because of the flexibility of the hours. 

It is important to evaluate the needs of individual students and not make a decision about how a child learns lightly. Both forms of learning have positives and negatives. For strong, individualists students, remote learning would be a better option. For students who need physical, human interaction to learn, then in-person learning could be a better fit. It is important to evaluate the essential needs of students like resources or preferred ways to learn.

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ORIGINAL RESEARCH article

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(Ir)Relevance in Education: Individuals as Navigators of Dynamic Information Landscapes

Differences in Source Selection and Their Effect on the Quality of Written Statements During a Critical Online Reasoning Performance Assessment Provisionally Accepted

• 1 Johannes Gutenberg University Mainz, Germany

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The importance of researching information on the Internet is ever increasing. While ease of use and accessibility are advantages, there is a risk of not being able to adequately assess the relevance and reliability of online sources. With data from the Bridge-project (N=143) we assess the online movements of respondents and track how they researched digitally to answer a task on a generic, accessible topic. We then draw conclusions about their search behavior during this open online performance assessment. The controlled and monitored environment allowed to identify differences in their source selection and how those had an impact on the quality of their written statements respective to the given task.

Keywords: higher education, critical online reasoning, Media Use, Source selection, Performance assessment

Received: 10 Jan 2024; Accepted: 12 Apr 2024.

Copyright: © 2024 Braunheim, Martin de los Santos Kleinz and Trierweiler. 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) or licensor 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.

* Correspondence: Mx. Dominik Braunheim, Johannes Gutenberg University Mainz, Mainz, Germany

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