the relationship between critical thinking and creativity

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Fostering Creativity and Critical Thinking in College: A Cross-Cultural Investigation

Ji hoon park.

1 Department of Psychology, Pace University, New York, NY, United States

2 Developmental and Educational Research Center for Children's Creativity, Faculty of Education, Beijing Normal University, Beijing, China

Heavon Allen

Associated data.

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

Enhancing creativity and critical thinking have garnered the attention of educators and researchers for decades. They have been highlighted as essential skills for the 21st century. A total of 103 United States students (53 female, 24 male, two non-binary, and 24 non-reporting) and 166 Chinese students (128 female, 30 male, one non-binary, and seven non-reporting) completed an online survey. The survey includes the STEAM-related creative problem solving, Sternberg scientific reasoning tasks, psychological critical thinking (PCT) exam, California critical thinking (CCT) skills test, and college experience survey, as well as a demographic questionnaire. A confirmatory factor analysis (CFA) yields a two-factor model for all creativity and critical thinking measurements. Yet, the two latent factors are strongly associated with each other ( r =0.84). Moreover, Chinese students outperform American students in measures of critical thinking, whereas Americans outperform Chinese students in measures of creativity. Lastly, the results also demonstrate that having some college research experience (such as taking research method courses) could positively influence both United States and Chinese students’ creativity and critical thinking skills. Implications are discussed.

Introduction

Creativity and critical thinking have been recognized as essential skills in the 21st century ( National Education Association, 2012 ). Many researchers and educators have focused on these two skills, including acquisition, enhancement, and performance. In addition, numerous studies have been devoted to understanding the conceptual complexities involved in creativity and critical thinking. Although similar to each other, creativity and critical thinking are distinctive by definition, each with a different emphasis.

The concept of creativity has evolved over the years. It was almost exclusively conceptualized as divergent thinking when Guilford (1956 , 1986) proposed divergent thinking as a part of intelligence. Earlier measures of creativity took the approach of divergent thinking, measuring creative potential ( Wallach and Kogan, 1965 ; Torrance, 1966 , 1988 ; Runco and Albert, 1986 ; Kim, 2005 ). In 1990s, many creativity scholars challenged the validity of tests of divergent thinking, and suggested that divergent thinking only captures the trivial sense of creativity, and proposed to use the product-oriented method to measure creativity ( Csikszentmihalyi, 1988 ; Amabile, 1996 ; Sternberg and Lubart, 1999 ). A system model of creativity, which recognizes the important roles individual, field, and domain have played, was used as a framework to conceptualize creativity. A widely accepted definition for creativity is a person’s ability to generate an idea or product that is deemed as both novel and appropriate by experts in a field of human activities ( Scott and Bruce, 1994 ; Amabile, 1996 ; Csikszentmihalyi, 1999 ; Sternberg and Lubart, 1999 ; Hunter et al., 2007 ). Corazza and Lubart (2021) recently proposed a dynamic definition of creativity, in which creativity is defined as a context-embedded phenomenon that is tightly related to the cultural and social environment. Based on this new definition, measures of creativity should be context-specific and culturally relevant, especially when it is examined cross-culturally.

Similarly, the conceptualization of critical thinking has also evolved over the years. Earlier definitions emphasized the broad multidimensional aspects of critical thinking, including at least three aspects: attitude, knowledge, and skills ( Glaser, 1941 ). The definition has been evolved to include specific components for each aspect ( Watson and Glaser, 1980 ). For example, critical thinking is recognized as the ability to use cognitive skills or strategies to increase the probability of a desirable outcome ( Halpern, 1999 ). More specifically, cognitive skills such as evaluation, problem-solving, reflective thinking, logical reasoning, and probability thinking are recognized as parts of critical thinking skills in research and assessments ( Ennis, 1987 , Scriven and Paul, 1987 , Halpern, 1999 ). Moving into the 21st century, metacognition and self-regulatory skills have also become essential components for critical thinking in addition to the cognitive skills recognized by earlier scholars ( Korn, 2014 , Paul and Elder, 2019 ).

Similar to the concept of creativity, critical thinking is also viewed as multidimensional and domain specific ( Bensley and Murtagh, 2012 ). For example, critical thinking in psychology, also referred to as psychological critical thinking (PCT), is defined as one’s ability to evaluate claims in a way that explicitly incorporates basic principles of psychological science ( Lawson, 1999 ). As one of the important hub sciences, psychology is often regarded as a foundational course for scientific training in American higher education ( Boyack et al., 2005 ). In psychological discourse, critical thinking is often defined in tandem with scientific thinking, which places significance on hypothesis-testing and problem-solving in order to reduce bias and erroneous beliefs ( Halpern, 1984 ; American Psychological Association, 2016 ; Lamont, 2020 ; Sternberg and Halpern, 2020 ). Based on this definition, measures of critical thinking should assess cognitive skills (i.e., evaluation, logical reasoning) and ability to utilize scientific methods for problem-solving.

In addition to the evolution of the definitions of critical thinking and creativity, research into these two concepts has led to the development of various measurements. For both concepts, there have been numerous measurements that have been studied, utilized, and improved.

The complexities associated with creativity (i.e., context-relevant and domain-specificity) pose a major issue for its measurement. Many different types of creativity measures have been developed in the past. Measures using a divergent thinking approach, such as the Torrance Tests of Creative Thinking ( Torrance, 1974 ) and Alternate Uses Test ( Guilford et al., 1960 ), a product-oriented approach, a third person nomination approach, as well as a self-report approach measuring personality ( Gough, 1979 ), creative behavior ( Hocevar and Michael, 1979 ; Rodriguez-Boerwinkle et al., 2021 ), and creative achievement ( Carson et al., 2005 ; Diedrich et al., 2018 ).

Both the divergent thinking and the product-oriented approaches have been widely used in the creativity literature to objectively measure creativity. The tasks of both approaches are generally heuristic, meaning that no correct answer is expected and the process does not need to be rational. When scoring divergent thinking, the number of responses (i.e., fluency) and the rareness of the response (i.e., originality) were used to represent creativity. When scoring products using the product-orientated approach, a group of experts provides their subjective ratings on various dimensions such as originality, appropriateness, and aesthetically appealing to these products using their subjective criteria. When there is a consensus among the experts, average ratings of these expert scores are used to represent the creativity of the products. This approach is also named as Consensual Assessment Technique (CAT; Amabile, 1982 , 1996 ). Some scholars viewed the CAT approach as focusing on the convergent aspect of creativity ( Lubart et al., 2013 ). Recognizing the importance of divergent and convergent thinking in conceptualizing creativity, Lubart et al. (2013) have suggested including divergent thinking and product-oriented approach (i.e., CAT) to objective measures of creativity ( Barbot et al., 2011 ).

Similar to measures of creativity, measurements of critical thinking are also multilevel and multi-approach. In an article reviewing the construction of critical thinking in psychological studies, Lamont (2020) argues that critical thinking became a scientific object when psychologists attempted to measure it. Different from measures of creativity, where the tasks are heuristic in nature, measures of critical thinking require participants to engage in logical thinking. Therefore, the nature of critical thinking tasks is more algorithmic.

The interest in the study of critical thinking is evident in the increased efforts in the past decades to measure such a complex, multidimensional skill. Watson-Glaser Tests for Critical Thinking ( Watson and Glaser, 1938 ) is widely recognized as the first official measure of critical thinking. Since then, numerous measurements of critical thinking have been developed to evaluate both overall and domain-specific critical thinking, such as the PCT Exam ( Lawson, 1999 ; See Mueller et al., 2020 for list of assessments). A few of the most commonly used contemporary measures of critical thinking include the Watson-Glaser Test for Critical Thinking Appraisals ( Watson and Glaser, 1980 ), Cornell Critical Thinking Test ( Ennis et al., 1985 ), and California Critical Thinking (CCT) Skills Test ( Facione and Facione, 1994 ). As the best established and widely used standardized critical thinking measures, these tests have been validated in various studies and have been used as a criterion for meta-analyses ( Niu et al., 2013 ; Ross et al., 2013 ).

There have also been concerns regarding the usage of these standardized measures of critical thinking on its own due to its emphasis on measuring general cognitive abilities of participants, while negating the domain-specific aspect of critical thinking ( Lamont, 2020 ). The issues associated with standardized measures are not unique to standardized critical thinking measures, as same types of criticisms have been raised for standardized college admissions measures such as the Graduate Record Exam (GRE). To develop an assessment that encompasses a broader range of student abilities that is more aligned to scientific disciplines, Sternberg and Sternberg (2017) developed a scientific inquiry and reasoning measure. This measure is aimed to assess participants’ ability to utilize scientific methods and to think scientifically in order to investigate a topic or solve a problem ( Sternberg and Sternberg, 2017 ). The strength of this measure is that it assesses students’ abilities (i.e., ability to think critically) that are domain-specific and relevant to the sciences. Considering the multidimensional aspect of critical thinking, a combination of a standardized critical thinking measure, an assessment measuring cognitive abilities involved in critical thinking; and a measure that assesses domain-specific critical thinking, would provide a comprehensive evaluation of critical thinking.

The Relationship Between Creativity and Critical Thinking

Most of the studies thus far referenced have investigated creativity and critical thinking separately; however, the discussion on the relationship between creativity and critical thinking spans decades of research ( Barron and Harrington, 1981 ; Glassner and Schwartz, 2007 ; Wechsler et al., 2018 ; Akpur, 2020 ). Some earlier studies on the relationship between divergent thinking and critical thinking have observed a moderate correlation ( r =0.23, p <0.05) between the two ( Gibson et al., 1968 ). Using measures of creative personality, Gadzella and Penland (1995) also found a moderate correlation ( r =0.36, p <0.05) between creative personality and critical thinking.

Recent studies have further supported the positive correlation between critical thinking and creativity. For example, using the creative thinking disposition scale to measure creativity, Akpur (2020) found a moderate correlation between the two among college students ( r =0.27, p <0.05). Similarly, using the critical thinking disposition scale to measure critical thinking and scientific creativity scale and creative self-efficacy scale to measure creativity, Qiang et al. (2020) studied the relationship between critical thinking and creativity to a large sample of high school students ( n =1,153). They found that the relationship between the two varied depending on the type of measurement of creativity. More specifically, the correlation between critical thinking disposition and creative self-efficacy was r =0.045 ( p <0.001), whereas the correlation between critical thinking disposition and scientific creativity was r =0.15 ( p <0.01).

Recognizing the moderate relationship between the two, researchers have also aimed to study the independence of creativity and critical thinking. Some studies have found evidence that these constructs are relatively autonomous. The results of Wechsler et al. (2018) study, which aimed to investigate whether creativity and critical thinking are independent or complementary processes, found a relative autonomy of creativity and critical thinking and found that the variables were only moderately correlated. The researchers in this study suggest that a model that differentiated the two latent variables associated with creativity and critical thinking dimensions was the most appropriate method of analysis ( Wechsler et al., 2018 ). Evidence to suggest that creativity and critical thinking are fairly independent processes was also found in study of Ling and Loh (2020) . The results of their research, which examined the relationship of creativity and critical thinking to pattern recognition, revealed that creativity is a weak predictor of pattern recognition. In contrast, critical thinking is a good predictor ( Ling and Loh, 2020 ).

It is worth noting that a possible explanation for the inconsistencies in these studies’ results is the variance in the definition and the measures used to evaluate creativity and critical thinking. Based on the current literature on the relationship between creativity and critical thinking, we believe that more investigation was needed to further clarify the relationship between creativity and critical thinking which became a catalyst for the current study.

Cross-Cultural Differences in Creativity and Critical Thinking Performance

Results from various cross-cultural studies suggest that there are differences in creativity and critical thinking skills among cultures. A common belief is that individuals from Western cultures are believed to be more critical and creative compared to non-Westerners, whereas individuals from non-Western cultures are believed to be better at critical thinking related tasks compared to Westerners ( Ng, 2001 ; Wong and Niu, 2013 ; Lee et al., 2015 ). For example, Wong and Niu (2013) found a persistent cultural stereotype regarding creativity and critical thinking skills that exist cross-culturally. In their study, both Chinese and Americans believed that Chinese perform better in deductive reasoning (a skill comparable to critical thinking) and that Americans perform better on creativity. This stereotype belief was found to be incredibly persistent as participants did not change their opinions even when presented with data that contradicted their beliefs.

Interestingly, research does suggest that such a stereotype might be based on scientific evidence ( Niu et al., 2007 ; Wong and Niu, 2013 ). In the same study, it was revealed that Chinese did in fact perform better than Americans in deductive reasoning, and Americans performed better in creativity tests ( Wong and Niu, 2013 ). Similarly, Lee et al. (2015) found that compared to American students, Korean students believed that they are more prone to use receptive learning abilities (remembering and reproducing what is taught) instead of critical and creative learning abilities.

Cultural Influence on Critical Thinking

Other studies investigating the cultural influence on critical thinking have had more nuanced findings. Manalo et al. (2013) study of university students from New Zealand and Japan found that culture-related factors (self-construal, regulatory mode, and self-efficacy) do influence students’ critical thinking use. Still, the differences in those factors do not necessarily equate to differences in critical thinking. Their results found that students from Western and Asian cultural environments did not have significant differences in their reported use of critical thinking. The researchers in this study suggest that perhaps the skills and values nurtured in the educational environment have a more significant influence on students’ use of critical thinking ( Manalo et al., 2013 ).

Another study found that New Zealand European students performed better on objective measures of critical thinking than Chinese students. Still, such differences could be explained by the student’s English proficiency and not dialectical thinking style. It was also revealed in this study that Chinese students tended to rely more on dialectical thinking to solve critical thinking problems compared to the New Zealand European students ( Lun et al., 2010 ). Other research on the cultural differences in thinking styles revealed that Westerners are more likely to use formal logical rules in reasoning. In contrast, Asians are more likely to use intuitive experience-based sense when solving critical thinking problems ( Nisbett et al., 2001 ).

These studies suggest that culture can be used as a broad taxonomy to explain differences in critical thinking use. Still, one must consider the educational environment and thinking styles when studying the nature of the observed discrepancies. For instance, cultural differences in thinking style, in particular, might explain why Westerners perform better on some critical thinking measures, whereas Easterners perform better on others.

Cultural Influence on Creative Performance

Historically, creativity studies have suggested that individuals from non-Western cultures are not as creative as Westerners ( Torrance, 1974 ; Jellen and Urban, 1989 ; Niu and Sternberg, 2001 ; Tang et al., 2015 ). For example, in one study, Americans generated more aesthetically pleasing artworks (as judged by both American and Chinese judges) than Chinese ( Niu and Sternberg, 2001 ). However, recent creativity research has suggested that cross-cultural differences are primarily attributable to the definition of creativity rather than the level of creativity between cultures. As aforementioned, creativity is defined as an idea or product that is both novel and appropriate. Many cross-cultural studies have found that Westerners have a preference and perform better in the novelty aspect, and Easterners have a preference and perform better in the appropriateness aspect. In cross-cultural studies, Rockstuhl and Ng (2008) found that Israelis tend to generate more original ideas than their Singaporean counterparts. In contrast, Singaporeans tend to produce more appropriate ideas. Bechtoldt et al. (2012) found in their study that Koreans generated more useful ideas, whereas Dutch students developed more original ideas. Liou and Lan (2018) found Taiwanese tend to create and select more useful ideas, whereas Americans tend to generate and choose more novel ideas. The differences in creativity preference and performance found in these studies suggest that cultural influence is a prominent factor in creativity.

In summary, cross-cultural studies have supported the notion that culture influences both creativity and critical thinking. This cultural influence seems relatively unambiguous in creativity as it has been found in multiple studies that cultural background can explain differences in performance and preference to the dual features of creativity. Critical thinking has also been influenced by culture, albeit in an opaquer nature in comparison to creativity. Critical thinking is ubiquitous in all cultures, but the conception of critical thinking and the methods used to think critically (i.e., thinking styles) are influenced by cultural factors.

Influence of College Experience on Creativity and Critical Thinking

Given its significance as a core academic ability, the hypothesis of many colleges and universities emphasize that students will gain critical thinking skills as the result of their education. Fortunately, studies have shown that these efforts have had some promising outcomes. Around 92% of students in multi-institution research reported gains in critical thinking. Only 8.9% of students believed that their critical thinking had not changed or had grown weaker ( Tsui, 1998 ). A more recent meta-analysis by Huber and Kuncel (2016) found that students make substantial gains in critical thinking during college. In addition, the efforts to enhance necessary thinking skills have led to the development of various skill-specific courses. Mill et al. (1994) found that among three groups of undergraduate students, a group that received tutorial sessions and took research methodology and statistics performed significantly better on scientific reasoning and critical thinking abilities tests than control groups. Penningroth et al. (2007) found that students who took a class in which they were required to engage in active learning and critical evaluation of claims by applying scientific concepts, had greater improvement in psychological critical thinking than students in the comparison groups. There have also been studies in which students’ scientific inquiry and critical thinking skills have improved by taking a course designed with specific science thinking and reasoning modules ( Stevens and Witkow, 2014 ; Stevens et al., 2016 ).

Using a Survey of Undergraduate Research Experience (SURE), Lopatto (2004 , 2008) found that research experience can help students gain various learning skills such as ability to integrate theory and practice, ability to analyze data, skill in the interpretation of results, and understanding how scientists work on problem. All of these learning skills correspond to at least one of the dimensions mentioned earlier in the definition of critical thinking (i.e., evaluation, analytical thinking, and problem solving through). Thus, results of SURE provide evidence that critical thinking can be enhanced through research experience ( Lopatto, 2004 , 2008 ).

In comparison to critical thinking, only a few studies have examined the interaction between creativity and college experience. Previous research on STEM provides some evidence to suggest that STEM education can promote the learner’s creativity ( Land, 2013 , Guo and Woulfin, 2016 , Kuo et al., 2018 ). Notably, study of Kuo et al. (2018) suggest that project-based learning in STEM has the merits of improving one’s creativity. They found that the STEM Interdisciplinary Project-Based Learning (IPBL) course is a practical approach to improve college student’s creativity ( Kuo et al., 2018 ). College research experience in particular, has been reported as important or very important by faculty and students for learning how to approach problems creatively ( Zydney et al., 2002 ).

Although specific college courses aimed to enhance creativity have been scarce, some training programs have been developed specifically to improve creativity. Scott et al. (2004) conducted a quantitative review of various creativity training and found that divergent thinking, creative problem solving, and creativity performance can be enhanced through skill-specific training programs. Embodied creativity training programs, consisting of creativity fitness exercises and intensive workshops, have also been effective in enhancing participants’ creative production and improving their creative self-efficacy ( Byrge and Tang, 2015 ).

Both critical thinking and creativity were also found to be important in students’ learning. Using a longitudinal design for one semester to 52 graduate students in biology, Siburian et al. (2019) studied how critical thinking and creative thinking contribute to improving cognitive learning skills. They found that both critical and creative thinking significantly contributes to enhancing cognitive learning skills ( R 2 =0.728). They each contribute separately to the development of cognitive learning skills ( b was 0.123 between critical thinking and cognitive learning and 0.765 between creative thinking and cognitive learning). The results from research on creativity and critical thinking indicate that training and experiences of students in college can enhance both of these skills.

Current Study

Previous literature on creativity and critical thinking suggests that there is a positive correlation between these two skills. Moreover, cultural background influences creativity and critical thinking conception and performance. However, our literature review suggests that there are only a few studies that have investigated creativity and critical thinking simultaneously to examine whether cultural background is a significant influence in performance. In addition, most of the past research on creativity and critical thinking have relied on dispositions or self-reports to measure the two skills and the investigation on the actual performance have been scarce. Lastly, past studies suggest that the acquisition and enhancement of these skills are influenced by various factors. Notably, college experience and skill-specific training have been found to improve both creativity and critical thinking. However, it is not yet clear how college experience aids in fostering creativity and critical thinking and which elements of college education are beneficial for enhancing these two skills. The cultural influence on creativity and critical thinking performance also needs further investigation.

The current study aimed to answer two questions related to this line of thought. How does culture influence creativity and critical thinking performance? How does college experience affect creativity and critical thinking? Based on past findings, we developed three hypotheses. First, we hypothesized that there is a positive association between critical thinking and creativity. Second, we suggest that college students from different countries have different levels of creativity and critical thinking. More specifically, we predicted that United States students would perform better than Chinese students on both creativity and critical thinking. Last, we hypothesized that having college research experience (through courses or research labs) will enhance creativity and critical thinking.

Materials and Methods

Participants.

The study was examined by the Internal Review Board by the host university in the United States and obtained an agreement from a partner university in China to meet the ethical standard of both countries.

Participants include 103 university students from the United States and 166 university students from Mainland China. Among all participants, 181 were female (67.3%), 54 were male (20.1%), non-binary or gender fluid ( n =3, 1.1%), and some did not report their gender ( n =31, 11.5%). The majority of participants majored in social sciences ( n =197, 73.2%). Other disciplines include business and management ( n =38, 14.1%), engineering and IT ( n =20, 7.4%), and sciences ( n =14, 5.2%). A Chi-square analysis was performed to see if the background in major was different between the American and Chinese samples. The results showed that the two samples are comparable in college majors, X 2 (3, 265) =5.50, p =0.138.

The American participants were recruited through campus recruitment flyers and a commercial website called Prolific (online survey distribution website). Ethnicities of the American participants were White ( n =44, 42.7%), Asian ( n =13, 12.6%), Black or African American ( n =11, 10.7%), Hispanic or Latinos ( n =5, 4.9%), and some did not report their ethnicity ( n =30, 29.1%). The Chinese participants were recruited through online recruitment flyers. All Chinese students were of Han ethnicity.

After reviewing and signing an online consent form, both samples completed a Qualtrics survey containing creativity and critical thinking measures.

Measurements

Steam related creative problem solving.

This is a self-designed measurement, examining participant’s divergent and convergent creative thinking in solving STEAM-related real-life problems. It includes three vignettes, each depicting an issue that needs to be resolved. Participants were given a choice to pick two vignettes to which they would like to provide possible solutions for. Participants were asked to provide their answers in two parts. In the first part, participants were asked to provide as many solutions as they can think of for the problem depicted (divergent). In the second part, participants were asked to choose one of the solutions they gave in the first part that they believe is the most creative and elaborate on how they would carry out the solution (convergent).

The responses for the first part of the problem (i.e., divergent) were scored based on fluency (number of solutions given). Each participant received a score on fluency by averaging the number of solutions given across three tasks. In order to score the originality of the second part of the solution (i.e., convergent), we invited four graduate students who studied creativity for at least 1year as expert judges to independently rate the originality of all solutions. The Cronbach’s Alpha of the expert ratings was acceptable for all three vignette solutions (0.809, 0.906, and 0.703). We then averaged the originality scores provided by the four experts to represent the originality of each solution. We then averaged the top three solutions as rated by the experts to represent the student’s performance on originality. In the end, each student received two scores on this task: fluency and originality.

Psychological Critical Thinking Exam

We adopted an updated PCT Exam developed by Lawson et al. (2015) , which made improvements to the original measure ( Lawson, 1999 ). We used PCT to measure the participants’ domain-specific critical thinking: critical thinking involved in the sciences. The initial assessment aimed to examine the critical thinking of psychology majors; however, the updated measure was developed so that it can be used to examine students’ critical thinking in a variety of majors. The split-half reliability of the revised measurement was 0.88, and test-retest reliability was 0.90 ( Lawson et al., 2015 ). Participants were asked to identify issues with a problematic claim made in two short vignettes. For example, one of the questions states:

Over the past few years, Jody has had several dreams that apparently predicted actual events. For example, in one dream, she saw a car accident and later that week she saw a van run into the side of a pickup truck. In another dream, she saw dark black clouds and lightning and 2days later a loud thunderstorm hit her neighborhood. She believes these events are evidence that she has a psychic ability to predict the future through her dreams. Could the event have occurred by chance? State whether or not there is a problem with the person’s conclusions and explain the problem (if there is one).

Responses were scored based on the rubric provided in the original measurement ( Lawson et al., 2015 ). If no problem was identified the participants would receive zero points. If a problem was recognized but misidentified, the participants would receive one point. If the main problem was identified and other less relevant problems were identified, the participants received two points. If participants identified only the main problem, they received three points. Following the rubric, four graduate students independently rated the students’ critical thinking task. The Cronbach’s Alpha of the expert ratings was acceptable for both vignettes (0.773 and 0.712). The average of the four scores given by the experts was used as the final score for the participants.

California Critical Thinking Skills Test

This objective measure of critical thinking was developed by Facione and Facione (1994) . We used CCT to measure a few of the multidimensions of critical thinking such as evaluation, logical reasoning, and probability thinking. Five sample items provided from Insight Assessment were used instead of the standard 40-min long CCT. Participants were presented with everyday scenarios with 4–6 answer choices. Participants were asked to make an accurate and complete interpretation of the question in order to correctly answer the question by choosing the right answer choice (each correct answer was worth one point). This test is commonly used to measure critical thinking, and previous research has reported its reliability as r =0.86 ( Hariri and Bagherinejad, 2012 ).

Sternberg Scientific Inquiry and Reasoning

This measure was developed by Sternberg and Sternberg (2017) as an assessment of scientific reasoning. We used this assessment as a domain-specific assessment to measure participants’ scientific creativity (generating testable hypotheses) and scientific critical thinking involved in generating experiments. For this two-part measure, participants were asked to read two short vignettes. For one of the vignettes, participants were asked to generate as many hypotheses as possible to explain the events described in the vignette. For the other, create an experiment to test the hypothesis mentioned in the vignette.

After carefully reviewing the measurement, we notice that the nature of the tasks in the first part of this measure (hypothesis generation) relied on heuristics, requiring participants to engage in divergent thinking. The number of valid hypotheses provided (i.e., fluency) was used to represent the performance of this task. We, therefore, deem that this part measures creativity. In contrast, the second part of the measure, experiment generation, asked participants to use valid scientific methods to design an experiment following the procedure of critical thinking such as evaluation, problem-solving, and task evaluation. Its scoring also followed algorithms so that a correct answer could be achieved. For the above reasons, we believe hypotheses generation is a measurement of creativity and experiment generation is a measurement for critical thinking.

Based on the recommended scoring manual, one graduate student calculated the fluency score from the hypothesis generation measurement. Four experts read through all students’ responses to the experiment generation. They discussed a rubric on how to score these responses, using a four-point scale, with a “0” representing no response or wrong response, a “1” representing partially correct, a “2” representing correct response. An additional point (the three points) was added if the participant provided multiple design methods. Based on the above rubric, the four experts independently scored this part of the questionnaire. The Cronbach’s Alpha of the four expert ratings was 0.792. The average score of the four judges was used to represent their critical thinking scores on this task.

College Experience Survey

Participants were asked about their past research experience, either specifically in psychology or in general academia. Participants were asked to choose between three choices: no research experience, intermediate research experience (i.e., research work for class, research work for lab), and advanced research experience (i.e., professional research experience, published works).

Demographic and Background Questionnaire

Series of standard demographic questions were asked, including participants’ age, gender, and ethnicity.

We performed a Pearson correlation to examine the relationship between creativity and critical thinking (the two-c), which include performances on three measures on creativity ( creativity originality , creativity fluency , and hypothesis generation ) and three measures on critical thinking ( experiment generation , CCT , and PCT ).

Most of the dependent variables had a significantly positive correlation. The only insignificant correlation was found between Sternberg hypothesis generation and CCT, r (247) =0.024, p =0.708 (see Table 1 ).

Correlation coefficients for study variables.

Confirmatory factor analysis (CFA) was conducted by applying SEM through AMOS 21 software program and the maximum likelihood method. One-factor and two-factor models have been analyzed, respectively (see Figure 1 ).

The comparison of the two confirmatory factor analysis (CFA) models: one-factor vs. two-factor.

As it is demonstrated in Table 2 , the value ranges of the most addressed fit indices used in the analysis of SEM are presented. Comparing two models, χ 2 /df of the two-factor model is in a good fit, while the index of the one-factor model is in acceptable fit. The comparison of the two models suggest that the two-factor model is a better model than the one-factor model.

Recommended values for evaluation and the obtained values.

RMSEA,root mean square error of approximation; NFI, normed fit index; CFI, comparative fit index; GFI, goodness-of-fit index; and AGFI, adjusted goodness-of-fit-index ( Schermelleh-Engel et al., 2003 ).

Cross-Cultural Differences in Critical Thinking and Creativity

We conducted a 2 (Country: the United States vs. China)×2 (Two-C: Creativity and Critical Thinking) ANOVA to investigate the cultural differences in critical thinking and creativity. We averaged scores of three critical thinking measurement ( experiment generation , PCT , and CCT ) to represent critical thinking and averaged three creativity scores ( creativity originality , creativity fluency , and hypothesis generation ).

This analysis revealed a significant main effect for the type of thinking (i.e., creative vs. critical thinking), F (1,247) =464.77, p <0.01, η p 2 =0.653. Moreover, there was a significant interaction between country (i.e., the United States vs. China) and type of thinking, F (1,247) =62.00, p <0.01, η p 2 =0.201. More specifically, Chinese students ( M =1.32, SD =0.59) outperformed American students ( M =1.02, SD =0.44) on critical thinking. In contrast, American students ( M =2.59, SD =1.07) outperformed Chinese students ( M =2.05, SD =0.83) on creativity.

Influence of Research Experience on Critical Thinking and Creativity

The last hypothesis states that having college research experience (through courses or research lab) would enhance students’ creativity and critical thinking from both countries. We performed a 2 (Two-C: Creativity and Critical Thinking)×2 (Country: the United States vs. China)×3 (Research Experience: Advanced vs. Some vs. No) ANOVA to test this hypothesis. This analysis revealed a significant main effect for research experience, F (2,239) =4.05, p =0.019, η p 2 =0.033. Moreover, there was a significant interaction between country (i.e., the United States vs. China) and research experience, F (2,239) =5.77, p =0.004, η p 2 =0.046. In addition, there was a three-way interaction among country, two-C, and research experience. More specifically, with an increase of research experience for American students, both critical thinking and creativity improved. In contrast, for Chinese students, the impact of research experience was not significant for creativity. However, some research experience positively impacted Chinese students’ critical thinking (see Figure 2 ).

Estimated marginal means of Two-C for the United States and Chinese samples.

The current study aimed to investigate the relationship between creativity and critical thinking, how culture influences creativity and critical thinking, and how college research experience affects creativity and critical thinking. Our results supported the first hypothesis regarding the positive correlation among all of the dependent variables. The mean correlation between the measures of creativity and critical thinking was 0.230. This result was in line with the findings from previous research ( Gibson et al., 1968 ; Gadzella and Penland, 1995 ; Siburian et al., 2019 ; Akpur, 2020 ; Qiang et al., 2020 ). Moreover, our confirmatory factor analysis yielded similar results as analysis of Wechsler et al. (2018) and Akpur (2020) and provides more evidence of the relative independence between creativity and critical thinking. We found that at the latent variable level, the two skills are highly correlated to each other ( r =0.84). In addition, we found that although the one-factor model was an acceptable fit, a two-factor model was a better fit for analysis. This result suggests that despite the correlation between creativity and critical thinking, the two skills should be studied as separate factors for an appropriate and comprehensive analysis.

The results of this study partially confirmed our second hypothesis and replicated the findings from past studies ( Niu et al., 2007 ; Lun et al., 2010 ; Wong and Niu, 2013 ; Tang et al., 2015 ). As predicted, there was a significant main effect for culture in students’ performance for all six measures in the two-C analysis model. United States students performed better than Chinese students in all three creativity measures, and Chinese students performed better than United States students in all critical thinking measures. Given the diversity in the type of measures used in this study, the results suggest that United States and Chinese students’ performance aligns with the stereotype belief found in study of Wong and Niu (2013) . The findings from the current study suggest that the stereotype belief observed in both United States and Chinese students (United States students generally perform better on creativity tasks, while Chinese students perform typically better on critical thinking tasks) is not entirely unfounded. Furthermore, the clear discrepancy in performance between United States and Chinese students provides more evidence to suggest that creativity and critical thinking are relatively autonomous skills. Although, a high correlation between these two skills was found in our study, the fact that students from two different cultures have two different development trajectories in critical thinking and creativity suggests that these two skills are relatively autonomous.

Lastly, the results also confirmed our third hypothesis, that is, college research experience did have a positive influence on students’ creativity and critical thinking. Compared to students with no research experience, students with some research experience performed significantly better in all measures of creativity and critical thinking. This finding is consistent with the previous literature ( Mill et al., 1994 ; Penningroth et al., 2007 ; Stevens and Witkow, 2014 ; Stevens et al., 2016 ; Kuo et al., 2018 ). The result of our study suggests that college research experience is significant to enhance both creativity and critical thinking. As research experience becomes a more essential component of college education, our results suggest that it not only can add credential for applying to graduate school or help students learn skills specific to research, but also help students enhance both creativity and critical thinking. Furthermore, it is worth noting that this nature held true for both Chinese and American students. To our knowledge, this is a first investigation examining the role of research experience in both creativity and critical thinking cross-culturally.

In addition to the report of our findings, we would like to address some limitations of our study. First, we would like to note that this is a correlational and cross-sectional study. A positive correlation between research experience and the two dependent variables does not necessarily mean causation. Our results indeed indicate a positive correlation between research experience and the two-C variables; however, we are not sure of the nature of this relationship. It is plausible that students with higher creativity and critical thinking skills are more engaged in research as much as it is to argue in favor of a reversed directional relationship. Second, we would like to note the sample bias in our study. Majority of our participants were female, majoring in the social sciences and a relatively high number of participants chose not to report their gender. Third, we would like to note that our study did not measure all creativity and critical thinking dimensions, we discussed in the introduction. Instead, we focused on a few key dimensions of creativity and critical thinking. Our primary focus was on divergent thinking, convergent thinking, and scientific creativity as well as few key dimensions of critical thinking (evaluation, logical reasoning, and probability thinking), scientific critical thinking involved in problem solving and hypothesis testing. Moreover, our results do not show what specific components of research training are beneficial for the enhancement of creativity and critical thinking.

For future research, a longitudinal design involving a field experiment will help investigate how different research training components affect the development of creativity and critical thinking. In addition, a cross-cultural study can further examine how and why the students from different cultures differ from each other in the development of these two potentials. As such, it might shed some light on the role of culture in creativity and critical thinking.

Conclusion and Implication

The result of our study provides few insights to the study of creativity and critical thinking. First, creativity and critical thinking are a different construct yet highly correlated. Second, whereas Americans perform better on creativity measures, Chinese perform better on critical thinking measures. Third, for both American and Chinese students, college research experience is a significant influence on the enhancement of creativity and critical thinking. As research experience becomes more and more essential to college education, its role can not only add professional and postgraduate credentials, but also help students enhance both creativity and critical thinking.

Based on our results, we recommend that research training be prioritized in higher education. Moreover, each culture has strengths to develop one skill over the other, hence, each culture could invest more in developing skills that were found to be weaker in our study. Eastern cultures can encourage more creativity and Western cultures can encourage more critical thinking.

To conclude, we would like to highlight that, although recognized globally as essential skills, methods to foster creativity and critical thinking skills and understanding creativity and critical thinking as a construct requires further research. Interestingly, our study found that experience of research itself can help enhance creativity and critical thinking. Our study also aimed to expand the knowledge of creativity and critical thinking literature through an investigation of the relationship of the two variables and how cultural background influences the performance of these two skills. We hope that our findings can provide insights for researchers and educators to find constructive methods to foster students’ essential 21st century skills, creativity and critical thinking, to ultimately enhance their global competence and life success.

Data Availability Statement

Ethics statement.

The studies involving human participants were reviewed and approved by Institutional Review Board at Pace University. The participants provided their informed consent online prior to participating in the study.

Author Contributions

All authors listed have made a substantial, direct, and intellectual contribution to the work, and approved it for publication., conflict of interest.

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

Publisher’s Note

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

This work was supported by the International Joint Research Project of Faculty of Education, Beijing Normal University (ICER201904), and a scholarly research funding by Pace University.

• Akpur U. (2020). Critical, reflective, creative thinking and their reflections on academic achievement . Think. Skills Creat. 37 :100683. doi: 10.1016/j.tsc.2020.100683 [ CrossRef ] [ Google Scholar ]
• Amabile T. M. (1982). Social psychology of creativity: a consensual assessment technique . J. Pers. Soc. Psychol. 43 , 997–1013. doi: 10.1037/0022-3514.43.5.997 [ CrossRef ] [ Google Scholar ]
• Amabile T. M. (1996). Creativity in Context: Update to “The Social Psychology of Creativity. ” Boulder, CO: Westview Press. [ Google Scholar ]
• American Psychological Association (2016). Guidelines for the undergraduate psychology major: version 2.0 . Am. Psychol. 71 , 102–111. doi: 10.1037/a0037562, PMID: [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Barbot B., Besançon M., Lubart T. (2011). Assessing creativity in the classroom . Open Educ. J. 4 , 58–66. doi: 10.2174/1874920801104010058 [ CrossRef ] [ Google Scholar ]
• Barron F., Harrington D. M. (1981). Creativity, intelligence, and personality . Annu. Rev. Psychol. 32 , 439–476. doi: 10.1146/annurev.ps.32.020181.002255 [ CrossRef ] [ Google Scholar ]
• Bechtoldt M., Choi H., Nijstad A. B. (2012). Individuals in mind, mates by heart: individualistic self-construal and collective value orientation as predictors of group creativity . J. Exp. Soc. Psychol. 48 , 838–844. doi: 10.1016/j.jesp.2012.02.014 [ CrossRef ] [ Google Scholar ]
• Bensley D. A., Murtagh M. P. (2012). Guidelines for a scientific approach to critical thinking assessment . Teach. Psychol. 39 , 5–16. doi: 10.1177/0098628311430642 [ CrossRef ] [ Google Scholar ]
• Boyack K. W., Klavans R., Börner K. (2005). Mapping the backbone of science . Scientometrics 64 , 351–374. doi: 10.1007/s11192-005-0255-6 [ CrossRef ] [ Google Scholar ]
• Byrge C., Tang C. (2015). Embodied creativity training: effects on creative self-efficacy and creative production . Think. Skills Creat. 16 , 51–61. doi: 10.1016/j.tsc.2015.01.002 [ CrossRef ] [ Google Scholar ]
• Carson S. H., Peterson J. B., Higgins D. M. (2005). Reliability, validity, and factor structure of the creative achievement questionnaire . Creat. Res. J. 17 , 37–50. doi: 10.1207/s15326934crj1701_4 [ CrossRef ] [ Google Scholar ]
• Corazza G. E., Lubart T. (2021). Intelligence and creativity: mapping constructs on the space-time continuum . J. Intell. 9 :1. doi: 10.3390/jintelligence9010001, PMID: [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Csikszentmihalyi M. (1988). “ Society, culture, and person: A systems view of creativity ” in The Nature of Creativity: Contemporary Psychological Perspectives. ed. Sternberg R. J. (New York: Cambridge University Press; ), 325–339. [ Google Scholar ]
• Csikszentmihalyi M. (1999). “ Implications of a systems perspective for the study of creativity ” in Handbook of Creativity. ed. Sternberg R. J. (New York, NY: Cambridge University Press; ), 313–335. [ Google Scholar ]
• Diedrich J., Jauk E., Silvia P. J., Gredlein J. M., Neubauer A. C., Benedek M. (2018). Assessment of real-life creativity: the inventory of creative activities and achievements (ICAA) . Psychol. Aesthet. Creat. Arts 12 , 304–316. doi: 10.1037/aca0000137 [ CrossRef ] [ Google Scholar ]
• Ennis R. H. (1987). “ A taxonomy of critical thinking dispositions and abilities ” in Teaching Thinking Skills: Theory and Practice. eds. Baron J. B., Sternberg R. J. (New York, NY: W H Freeman/Times Books/Henry Holt & Co.), 9–26. [ Google Scholar ]
• Ennis R. H., Millman J., Tomko T. N. (1985). Cornell Critical Thinking Test Level x and Level z Manual. 3rd Edn . Pacific Grove, CA: Midwest Publications. [ Google Scholar ]
• Facione P. A., Facione N. (1994). The California Critical Thinking Skills Test: Test Manual. Millbrae, CA: California Academic Press. [ Google Scholar ]
• Gadzella B. M., Penland E. (1995). Is creativity related to scores on critical thinking? Psychol. Rep. 77 , 817–818. doi: 10.2466/pr0.1995.77.3.817 [ CrossRef ] [ Google Scholar ]
• Gibson J. W., Kibler R. J., Barker L. L. (1968). Some relationships between selected creativity and critical thinking measures . Psychol. Rep. 23 , 707–714. doi: 10.2466/pr0.1968.23.3.707, PMID: [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Glaser E. M. (1941). An Experiment in the Development of Critical Thinking. New York, NY: Teachers College, Columbia University. [ Google Scholar ]
• Glassner A., Schwartz B. (2007). What stands and develops between creative and critical thinking? Argumentation? Think. Skills Creat. 2 , 10–18. doi: 10.1016/j.tsc.2006.10.001 [ CrossRef ] [ Google Scholar ]
• Gough H. G. (1979). A creative personality scale for the adjective check list . J. Pers. Soc. Psychol. 37 , 1398–1405. doi: 10.1037/0022-3514.37.8.1398 [ CrossRef ] [ Google Scholar ]
• Guilford J. P. (1956). The structure of intellect . Psychol. Bull. 53 , 267–293. doi: 10.1037/h0040755, PMID: [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Guilford J. P. (1986). Creative Talents: Their Nature, Uses and Development. Buffalo, NY: Bearly Ltd. [ Google Scholar ]
• Guilford J. P., Christensen P. R., Merrifield P. R., Wilson R. C. (1960). Alternate Uses Manual. Menlo Park, CA: Mind Garden, Inc. [ Google Scholar ]
• Guo J., Woulfin S. (2016). Twenty-first century creativity: an investigation of how the partnership for 21st century instructional framework reflects the principles of creativity . Roeper Rev. 38 , 153–161. doi: 10.1080/02783193.2016.1183741 [ CrossRef ] [ Google Scholar ]
• Halpern D. F. (1984). Thought and Knowledge: An Introduction to Critical Thinking. Hillsdale, NJ: Erlbaum. [ Google Scholar ]
• Halpern D. F. (1999). Teaching for critical thinking: helping college students develop the skills and dispositions of a critical thinker . New Dir. Teach. Learn. 1999 , 69–74. doi: 10.1002/tl.8005 [ CrossRef ] [ Google Scholar ]
• Hariri N., Bagherinejad Z. (2012). Evaluation of critical thinking skills in students of health faculty, Mazandaran university of medical sciences . J. Mazand. Univ. Med. Sci. 21 , 166–173. [ Google Scholar ]
• Hocevar D., Michael W. B. (1979). The effects of scoring formulas on the discriminant validity of tests of divergent thinking . Educ. Psychol. Meas. 39 , 917–921. doi: 10.1177/001316447903900427 [ CrossRef ] [ Google Scholar ]
• Huber C. R., Kuncel N. R. (2016). Does college teach critical thinking? A meta-analysis . Rev. Educ. Res. 86 , 431–468. doi: 10.3102/0034654315605917 [ CrossRef ] [ Google Scholar ]
• Hunter S. T., Bedell K. E., Mumford M. D. (2007). Climate for creativity: a quantitative review . Creat. Res. J. 19 , 69–90. doi: 10.1080/10400410709336883 [ CrossRef ] [ Google Scholar ]
• Jellen H. U., Urban K. (1989). Assessing creative potential worldwide: the first cross-cultural application of the test for creative thinking–drawing production (TCT–DP) . Gifted Educ. 6 , 78–86. doi: 10.1177/026142948900600204 [ CrossRef ] [ Google Scholar ]
• Kim K. H. (2005). Can only intelligent people be creative? A meta-analysis . J. Sec. Gifted Educ. 16 , 57–66. doi: 10.4219/jsge-2005-473 [ CrossRef ] [ Google Scholar ]
• Korn M. (2014). Bosses Seek ‘Critical Thinking,’ but What Is That? Wall Street Journal. Available at: https://online.wsj.com/articles/bosses-seek-critical-thinking-but-what-is-that-1413923730 (Accessed October 18, 2021).
• Kuo H.-C., Tseng Y.-C., Yang Y.-T. C. (2018). Promoting college student's learning motivation and creativity through a STEM interdisciplinary PBL human-computer interaction system design and development course . Think. Skills Creat. 31 , 1–10. doi: 10.1016/j.tsc.2018.09.001 [ CrossRef ] [ Google Scholar ]
• Lamont P. (2020). The construction of "critical thinking": between how we think and what we believe . Hist. Psychol. 23 , 232–251. doi: 10.1037/hop0000145, PMID: [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Land M. H. (2013). Full STEAM ahead: the benefits of integrating the arts into STEM . Compl. Adapt. Syst. 20 , 547–552. doi: 10.1016/j.procs.2013.09.317 [ CrossRef ] [ Google Scholar ]
• Lawson T. J. (1999). Assessing psychological critical thinking as a learning outcome for psychology majors . Teach. Psychol. 26 , 207–209. doi: 10.1207/S15328023TOP260311 [ CrossRef ] [ Google Scholar ]
• Lawson T. J., Jordan-Fleming M. K., Bodle J. H. (2015). Measuring psychological critical thinking . Teach. Psychol. 42 , 248–253. doi: 10.1177/0098628315587624 [ CrossRef ] [ Google Scholar ]
• Lee H.-J., Lee J., Makara K. A., Fishman B. J., Hong Y. I. (2015). Does higher education foster critical and creative learners? An exploration of two universities in South Korea and the USA . High. Educ. Res. Dev. 34 , 131–146. doi: 10.1080/07294360.2014.892477 [ CrossRef ] [ Google Scholar ]
• Ling M. K. D., Loh S. C. (2020). Relationship of creativity and critical thinking to pattern recognition among Singapore private school students . J. Educ. Res. 113 , 59–76. doi: 10.1080/00220671.2020.1716203 [ CrossRef ] [ Google Scholar ]
• Liou S., Lan X. (2018). Situational salience of norms moderates cultural differences in the originality and usefulness of creative ideas generated or selected by teams . J. Cross-Cult. Psychol. 49 , 290–302. doi: 10.1177/0022022116640897 [ CrossRef ] [ Google Scholar ]
• Lopatto D. (2004). Survey of undergraduate research experiences (SURE): first findings . Cell Biol. Educ. 3 , 270–277. doi: 10.1187/cbe.04-07-0045, PMID: [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Lopatto D. (2008). “ Exploring the benefits of undergraduate research experiences: The SURE survey ” in Creating Effective Undergraduate Research Programs in Science eds. R. Taraban and R. L. Blanton (New York: Teachers College Press; ), 112–132. [ Google Scholar ]
• Lubart T., Zenasni F., Barbot B. (2013). Creative potential and its measurement . Int. J. Talent Dev. Creat. 1 , 41–50. [ Google Scholar ]
• Lun V. M.-C., Fischer R., Ward C. (2010). Exploring cultural differences in critical thinking: is it about my thinking style or the language I speak? Learn. Individ. Differ. 20 , 604–616. doi: 10.1016/j.lindif.2010.07.001 [ CrossRef ] [ Google Scholar ]
• Manalo E., Kusumi T., Koyasu M., Michita Y., Tanaka Y. (2013). To what extent do culture-related factors influence university students' critical thinking use? Think. Skills Creat. 10 , 121–132. doi: 10.1016/j.tsc.2013.08.003 [ CrossRef ] [ Google Scholar ]
• Mill D., Gray T., Mandel D. R. (1994). Influence of research methods and statistics courses on everyday reasoning, critical abilities, and belief in unsubstantiated phenomena . Can. J. Behav. Sci. 26 , 246–258. doi: 10.1037/0008-400X.26.2.246 [ CrossRef ] [ Google Scholar ]
• Mueller J. F., Taylor H. K., Brakke K., Drysdale M., Kelly K., Levine G. M., et al.. (2020). Assessment of scientific inquiry and critical thinking: measuring APA goal 2 student learning outcomes . Teach. Psychol. 47 , 274–284. doi: 10.1177/0098628320945114 [ CrossRef ] [ Google Scholar ]
• National Education Association (2012). Preparing 21st Century Students for a Global Society: An educator's Guide to the "Four Cs". Alexandria, VA: National Education Association. [ Google Scholar ]
• Ng A.K. (2001). Why Asians Are less Creative than Westerners. Singapore: Prentice Hall. [ Google Scholar ]
• Nisbett R. E., Peng K., Choi I., Norenzayan A. (2001). Culture and systems of thought: holistic versus analytic cognition . Psychol. Rev. 108 , 291–310. doi: 10.1037/0033-295X.108.2.291, PMID: [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Niu L., Behar-Horenstein L. S., Garvan C. W. (2013). Do instructional interventions influence college students' critical thinking skills? A meta-analysis . Educ. Res. Rev. 9 , 114–128. doi: 10.1016/j.edurev.2012.12.002 [ CrossRef ] [ Google Scholar ]
• Niu W., Sternberg R. J. (2001). Cultural influences on artistic creativity and its evaluation . Int. J. Psychol. 36 , 225–241. doi: 10.1080/00207590143000036 [ CrossRef ] [ Google Scholar ]
• Niu W., Zhang J. X., Yang Y. (2007). Deductive reasoning and creativity: a cross-cultural study . Psychol. Rep. 100 , 509–519. doi: 10.2466/pr0.100.2.509-519, PMID: [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Paul R., Elder L. (2019). The Miniature Guide to Critical Thinking Concepts and Tools. 8th Edn . Lanham, MD: Foundation for Critical Thinking. [ Google Scholar ]
• Penningroth S. L., Despain L. H., Gray M. J. (2007). A course designed to improve psychological critical thinking . Teach. Psychol. 34 , 153–157. doi: 10.1080/00986280701498509 [ CrossRef ] [ Google Scholar ]
• Qiang R., Han Q., Guo Y., Bai J., Karwowski M. (2020). Critical thinking disposition and scientific creativity: the mediating role of creative self-efficacy . J. Creat. Behav. 54 , 90–99. doi: 10.1002/jocb.347 [ CrossRef ] [ Google Scholar ]
• Rockstuhl T., Ng K.-Y. (2008). The effects of cultural intelligence on interpersonal trust in multicultural teams . In Handbook of Cultural Intelligence: Theory, Measurement, and Applications. (eds.) Ang S., Dyne L.. Armonk, NY: M.E. Sharpe. 206–220. [ Google Scholar ]
• Rodriguez-Boerwinkle R., Silvia P., Kaufman J. C., Reiter-Palmon R., Puryear J. S. (2021). Taking inventory of the creative behavior inventory: an item response theory analysis of the CBI. [Preprint]. doi: 10.31234/osf.io/b7cfd [ CrossRef ]
• Ross D., Loeffler K., Schipper S., Vandermeer B., Allan G. M. (2013). Do scores on three commonly used measures of critical thinking correlate with academic success of health professions trainees? A systematic review and meta-analysis . Acad. Med. 88 , 724–734. doi: 10.1097/ACM.0b013e31828b0823, PMID: [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Runco M. A., Albert R. S. (1986). The threshold theory regarding creativity and intelligence: an empirical test with gifted and nongifted children . Creat. Child Adult Q. 11 , 212–218. [ Google Scholar ]
• Schermelleh-Engel K., Moosbrugger H., Müller H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures . Methods of Psychological Research 8 , 23–74. [ Google Scholar ]
• Scott S. G., Bruce R. A. (1994). Determinants of innovative behavior: a path model of individual innovation in the workplace . Acad. Manag. J. 37 , 580–607. [ Google Scholar ]
• Scott G., Leritz L. E., Mumford M. D. (2004). The effectiveness of creativity training: a quantitative review . Creat. Res. J. 16 , 361–388. doi: 10.1080/10400410409534549 [ CrossRef ] [ Google Scholar ]
• Scriven M., Paul R. (1987). Defining Critical Thinking. In 8th Annual International Conference on Critical Thinking and Education Reform ; August 2–5, 1987.
• Siburian J., Corebima A. D., Ibrohim, Saptasari M. (2019). The correlation between critical and creative thinking skills on cognitive learning results . Eurasian J. Educ. Res. 19 , 99–114. doi: 10.14689/EJER.2019.81.6 [ CrossRef ] [ Google Scholar ]
• Sternberg R. J., Halpern D. F. (eds.) (2020). Critical Thinking in Psychology. 2nd Edn . Cambridge: Cambridge University Press. [ Google Scholar ]
• Sternberg R. J., Lubart T. I. (1999). “ The concept of creativity: prospects and paradigms ” in Handbook of Creativity. ed. Sternberg R. J. (New York, NY: Cambridge University Press; ), 3–15. [ Google Scholar ]
• Sternberg R. J., Sternberg K. (2017). Measuring scientific reasoning for graduate admissions in psychology and related disciplines . J. Intell. 5 , 29. doi: 10.3390/jintelligence5030029, PMID: [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Stevens C., Witkow M. R. (2014). Training scientific thinking skills: evidence from an MCAT 2015 aligned classroom module . Teach. Psychol. 41 , 115–121. doi: 10.1177/0098628314530341 [ CrossRef ] [ Google Scholar ]
• Stevens C., Witkow M. R., Smelt B. (2016). Strengthening scientific reasoning skills in introductory psychology: evidence from community college and liberal arts classrooms . Scholarsh. Teach. Learn. Psychol. 2 , 245–260. doi: 10.1037/stl0000070 [ CrossRef ] [ Google Scholar ]
• Tang M., Werner C., Cao G., Tumasjan A., Shen J., Shi J., et al.. (2015). Creative expression and its evaluation on work-related verbal tasks: a comparison of Chinese and German samples . J. Creat. Behav. 52 , 91–103. doi: 10.1002/jocb.134 [ CrossRef ] [ Google Scholar ]
• Torrance E. P. (1966). The Torrance Tests of Creative Thinking-Norms-Technical Manual Research Edition-Verbal Tests, Forms A and B Figural Tests, Forms A and B. Princeton, NJ: Personnel Press. [ Google Scholar ]
• Torrance E. P. (1974). Torrance Tests of Creativity Thinking: Norms–Technical Manual. Lexington, MA: Ginn. [ Google Scholar ]
• Torrance E. P. (1988). “ The nature of creativity as manifest in its testing ” in The Nature of Creativity. ed. Sternberg R. J. (New York: Cambridge University Press; ), 43–73. [ Google Scholar ]
• Tsui L. (1998). Fostering Critical Thinking in College Students: A Mixed-Methods Study of Influences Inside and Outside of the Classroom (Doctoral dissertation). Available from ProQuest Dissertations and Theses database. (UMI No. 9917229)
• Wallach M. A., Kogan N. (1965). Modes of Thinking in Young Children: A Study of the Creativity-Intelligence Distinction. New York: Holt, Rinehart & Winston. [ Google Scholar ]
• Watson G. B., Glaser E. M. (1938). The Watson-Glaser Tests of Critical Thinking. New York, NY: Institute for Propaganda Analysis. [ Google Scholar ]
• Watson G. B., Glaser E. M. (1980). WGCTA Watson-Glaser Critical Thinking Appraisal Manual: Forms A and B. San Antonio: The Psychological Corporation. [ Google Scholar ]
• Wechsler S. M., Saiz C., Rivas S. F., Vendramini C. M. M., Almeida L. S., Mundim M. C., et al.. (2018). Creative and critical thinking: independent or overlapping components? Think. Skills Creat. 27 , 114–122. doi: 10.1016/j.tsc.2017.12.003 [ CrossRef ] [ Google Scholar ]
• Wong R., Niu W. (2013). Cultural difference in stereotype perceptions and performances in nonverbal deductive reasoning and creativity . J. Creat. Behav. 47 , 41–59. doi: 10.1002/jocb.22 [ CrossRef ] [ Google Scholar ]
• Zydney A. L., Bennett J. S., Shahid A., Bauer K. W. (2002). Faculty perspectives regarding the undergraduate research experience in science and engineering . J. Eng. Educ. 91 , 291–297. doi: 10.1002/j.2168-9830.2002.tb00706.x [ CrossRef ] [ Google Scholar ]

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Part Two: You are the President and CEO of You

Thinking Critically and Creatively

Dr. andrew robert baker.

Critical and creative thinking skills are perhaps the most fundamental skills involved in making judgments and solving problems. They are some of the most important skills I have ever developed. I use them everyday and continue to work to improve them both.

The ability to think critically about a matter—to analyze a question, situation, or problem down to its most basic parts—is what helps us evaluate the accuracy and truthfulness of statements, claims, and information we read and hear. It is the sharp knife that, when honed, separates fact from fiction, honesty from lies, and the accurate from the misleading. We all use this skill to one degree or another almost every day. For example, we use critical thinking every day as we consider the latest consumer products and why one particular product is the best among its peers. Is it a quality product because a celebrity endorses it? Because a lot of other people may have used it? Because it is made by one company versus another? Or perhaps because it is made in one country or another? These are questions representative of critical thinking.

The academic setting demands more of us in terms of critical thinking than everyday life. It demands that we evaluate information and analyze a myriad of issues. It is the environment where our critical thinking skills can be the difference between success and failure. In this environment we must consider information in an analytical, critical manner. We must ask questions—What is the source of this information? Is this source an expert one and what makes it so? Are there multiple perspectives to consider on an issue? Do multiple sources agree or disagree on an issue? Does quality research substantiate information or opinion? Do I have any personal biases that may affect my consideration of this information? It is only through purposeful, frequent, intentional questioning such as this that we can sharpen our critical thinking skills and improve as students, learners, and researchers. Developing my critical thinking skills over a twenty year period as a student in higher education enabled me to complete a quantitative dissertation, including analyzing research and completing statistical analysis, and earning my Ph.D. in 2014.

While critical thinking analyzes information and roots out the true nature and facets of problems, it is creative thinking that drives progress forward when it comes to solving these problems. Exceptional creative thinkers are people that invent new solutions to existing problems that do not rely on past or current solutions. They are the ones who invent solution C when everyone else is still arguing between A and B. Creative thinking skills involve using strategies to clear the mind so that our thoughts and ideas can transcend the current limitations of a problem and allow us to see beyond barriers that prevent new solutions from being found.

Brainstorming is the simplest example of intentional creative thinking that most people have tried at least once. With the quick generation of many ideas at once we can block-out our brain’s natural tendency to limit our solution-generating abilities so we can access and combine many possible solutions/thoughts and invent new ones. It is sort of like sprinting through a race’s finish line only to find there is new track on the other side and we can keep going, if we choose. As with critical thinking, higher education both demands creative thinking from us and is the perfect place to practice and develop the skill. Everything from word problems in a math class, to opinion or persuasive speeches and papers, call upon our creative thinking skills to generate new solutions and perspectives in response to our professor’s demands. Creative thinking skills ask questions such as—What if? Why not? What else is out there? Can I combine perspectives/solutions? What is something no one else has brought-up? What is being forgotten/ignored? What about ______? It is the opening of doors and options that follows problem-identification.

Consider an assignment that required you to compare two different authors on the topic of education and select and defend one as better. Now add to this scenario that your professor clearly prefers one author over the other. While critical thinking can get you as far as identifying the similarities and differences between these authors and evaluating their merits, it is creative thinking that you must use if you wish to challenge your professor’s opinion and invent new perspectives on the authors that have not previously been considered.

So, what can we do to develop our critical and creative thinking skills? Although many students may dislike it, group work is an excellent way to develop our thinking skills. Many times I have heard from students their disdain for working in groups based on scheduling, varied levels of commitment to the group or project, and personality conflicts too, of course. True—it’s not always easy, but that is why it is so effective. When we work collaboratively on a project or problem we bring many brains to bear on a subject. These different brains will naturally develop varied ways of solving or explaining problems and examining information. To the observant individual we see that this places us in a constant state of back and forth critical/creative thinking modes.

For example, in group work we are simultaneously analyzing information and generating solutions on our own, while challenging other’s analyses/ideas and responding to challenges to our own analyses/ideas. This is part of why students tend to avoid group work—it challenges us as thinkers and forces us to analyze others while defending ourselves, which is not something we are used to or comfortable with as most of our educational experiences involve solo work. Your professors know this—that’s why we assign it—to help you grow as students, learners, and thinkers!

Foundations of Academic Success: Words of Wisdom Copyright © 2015 by Thomas Priester is licensed under a Creative Commons Attribution 4.0 International License , except where otherwise noted.

The Peak Performance Center

The pursuit of performance excellence, critical thinking vs. creative thinking.

Creative thinking is a way of looking at problems or situations from a fresh perspective to conceive of something new or original.

Critical thinking is the logical, sequential disciplined process of rationalizing, analyzing, evaluating, and interpreting information to make informed judgments and/or decisions.

Critical Thinking vs. Creative Thinking – Key Differences

• Creative thinking tries to create something new, while critical thinking seeks to assess worth or validity of something that already exists.
• Creative thinking is generative, while critical thinking is analytical.
• Creative thinking is divergent, while critical thinking is convergent.
• Creative thinking is focused on possibilities, while critical thinking is focused on probability.
• Creative thinking is accomplished by disregarding accepted principles, while critical thinking is accomplished by applying accepted principles.

About Creative Thinking

Creative thinking is a process utilized to generate lists of new, varied and unique ideas or possibilities. Creative thinking brings a fresh perspective and sometimes unconventional solution to solve a problem or address a challenge.  When you are thinking creatively, you are focused on exploring ideas, generating possibilities, and/or developing various theories.

Creative thinking can be performed both by an unstructured process such as brainstorming, or by a structured process such as lateral thinking.

Brainstorming is the process for generating unique ideas and solutions through spontaneous and freewheeling group discussion. Participants are encouraged to think aloud and suggest as many ideas as they can, no matter how outlandish it may seem.

Lateral thinking uses a systematic process that leads to logical conclusions. However, it involves changing a standard thinking sequence and arriving at a solution from completely different angles.

No matter what process you chose, the ultimate goal is to generate ideas that are unique, useful and worthy of further elaboration. Often times, critical thinking is performed after creative thinking has generated various possibilities. Critical thinking is used to vet those ideas to determine if they are practical.

Creative Thinking Skills

• Open-mindedness
• Flexibility
• Imagination
• Adaptability
• Risk-taking
• Originality
• Elaboration
• Brainstorming

About Critical Thinking

Critical thinking is the process of actively analyzing, interpreting, synthesizing, evaluating information gathered from observation, experience, or communication. It is thinking in a clear, logical, reasoned, and reflective manner to make informed judgments and/or decisions.

Critical thinking involves the ability to:

• remain objective

In general, critical thinking is used to make logical well-formed decisions after analyzing and evaluating information and/or an array of ideas.

On a daily basis, it can be used for a variety of reasons including:

• to form an argument
• to articulate and justify a position or point of view
• to reduce possibilities to convergent toward a single answer
• to vet creative ideas to determine if they are practical
• to judge an assumption
• to solve a problem
• to reach a conclusion

Critical Thinking Skills

• Interpreting
• Integrating
• Contrasting
• Classifying
• Forecasting
• Hypothesizing

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Algorithmic thinking, cooperativity, creativity, critical thinking, and problem solving: exploring the relationship between computational thinking skills and academic performance

• Published: 11 August 2017
• Volume 4 , pages 355–369, ( 2017 )

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• Tenzin Doleck 1 ,
• Paul Bazelais 1 ,
• David John Lemay 1 ,
• Anoop Saxena 1 &
• Ram B. Basnet 2  

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The continued call for twenty-first century skills renders computational thinking a topical subject of study, as it is increasingly recognized as a fundamental competency for the contemporary world. Yet its relationship to academic performance is poorly understood. In this paper, we explore the association between computational thinking and academic performance. We test a structural model—employing a partial least squares approach—to assess the relationship between computational thinking skills and academic performance. Surprisingly, we find no association between computational thinking skills and academic performance (except for a link between cooperativity and academic performance). These results are discussed respecting curricular mandated instruction in higher-order thinking skills and the importance of curricular alignment between instructional objectives and evaluation approaches for successfully teaching and learning twenty-first-century skills.

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Computational Thinking Assessment – Towards More Vivid Interpretations

Assessing Computational Thinking: The Relation of Different Assessment Instruments and Learning Tools

A valid and reliable tool for examining computational thinking skills

Anderson, L. (2002). Curricular alignment: A re-examination. Theory into Practice, 41 (4), 255–264.

Article   Google Scholar  

Ater-Kranov, A., Bryant, R., Orr, G., Wallace, S., & Zhang, M. (2010). Developing a community definition and teaching modules for computational thinking: Accomplishments and challenges. In Proceedings of the 2010 ACM conference on information technology education (pp. 143–148). ACM.

Atmatzidou, S., & Demetriadis, S. (2016). Advancing students’ computational thinking skills through educational robotics: A study on age and gender relevant differences. Robotics And Autonomous Systems, 75, 661–670. doi: 10.1016/j.robot.2015.10.008 .

Barr, V., & Stephenson, C. (2011). Bringing computational thinking to K-12. ACM Inroads, 2 (1), 48. doi: 10.1145/1929887.1929905 .

Bateman, D., Taylor, S., Janik, E., & Logan, A. (2008). Curriculum coherence and student success. Champlain College CEGEP. Retrieved from: http://www.cdc.qc.ca/parea/786950_bateman_curriculums_champlain_st_lambert_PAREA_2007.pdf .

Bazelais, P., Lemay, D. J., & Doleck, T. (2016). How does grit impact college students’ academic achievement in science? European Journal of Science and Mathematics Education, 4 (1), 33–43.

Google Scholar  

Biggs, J. (1996). Enhancing teaching through constructive alignment. Higher Education, 32, 1–18.

Biggs, J. (1999). Teaching for quality learning at university . Society for Research into Higher Education/Open University Press.

Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking . Vancouver: Paper presented at the American Educational Research Association.

Bundy, A. (2007). Computational thinking is pervasive. Journal of Scientific and Practical Computing, 1 (2), 67–69.

Cooper, S., Pérez, L., & Rainey, D. (2010). K-12 computational learning. Communications of the ACM, 53 (11), 27. doi: 10.1145/1839676.1839686 .

Denning, P. (2009). The profession of IT beyond computational thinking. Communications of the ACM, 52 (6), 28. doi: 10.1145/1516046.1516054 .

Deschryver, M. D., & Yadav, A. (2015). Creative and computational thinking in the context of new literacies: Working with teachers to scaffold complex technology-mediated approaches to teaching and learning. Journal of Technology and Teacher Education, 23 (3), 411–431.

Farris, A. V., & Sengupta, P. (2014). Perspectival computational thinking for learning physics: A case study of collaborative agent-based modeling. In Proceedings of the 12th international conference of the learning sciences (ICLS 2014) (pp. 1102–1107).

Fornell, C., & Larcker, D. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18 (1), 39–50.

Foundation for Critical Thinking. (2015). Elements and standards learning tool. Retrieved from: http://www.criticalthinking.org/pages/analyzing-and-assessing-thinking-/783 .

Futschek, G. (2006). Algorithmic thinking: The key for understanding computer science. In International conference on informatics in secondary schools - evolution and perspectives (pp. 159–168). Berlin: Springer.

Google for Education. (n.d.). CT overview. Retrieved from https://edu.google.com/resources/programs/exploring-computational-thinking/#!ct-overview .

Gretter, S., & Yadav, A. (2016). Computational thinking and media & information literacy: An integrated approach to teaching twenty-first century skills. Techtrends, 60 (5), 510–516. doi: 10.1007/s11528-016-0098-4 .

Grover, S., & Pea, R. (2013). Computational thinking in K-12: A review of the state of the field. Educational Researcher, 42 (1), 38–43. doi: 10.3102/0013189x12463051 .

Guzdial, M. (2008). Education paving the way for computational thinking. Communications of the ACM, 51 (8), 25. doi: 10.1145/1378704.1378713 .

Hair, J., Ringle, C., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. The Journal of Marketing Theory and Practice, 19 (2), 139–152. doi: 10.2753/mtp1069-6679190202 .

Hu, C. (2011). Computational thinking: What it might mean and what we might do about it. In Proceedings of the 16th annual joint conference on innovation and technology in computer science education (pp. 223–227). ACM.

Katai, Z. (2014). The challenge of promoting algorithmic thinking of both sciences- and humanities-oriented learners. Journal of Computer Assisted Learning, 31 (4), 287–299. doi: 10.1111/jcal.12070 .

Kiss, G., & Arki, Z. (2017). The influence of game-based programming education on the algorithmic thinking. Procedia - Social and Behavioral Sciences, 237 (21), 613–617.

Kock, N. (2015a). WarpPLS. Retrieved from http://www.warppls.com .

Kock, N. (2015b). WarpPLS 5.0 user manual . ScripWarp Systems. Retrieved from http://cits.tamiu.edu/WarpPLS/UserManual_v_5_0.pdf .

Korkmaz, Ö., Çakir, R., & Özden, M. (2017). A validity and reliability study of the computational thinking scales (CTS). Computers in Human Behavior . doi: 10.1016/j.chb.2017.01.005 .

Kules, B. (2016). Computational thinking is critical thinking: Connecting to university discourse, goals, and learning outcomes. In Proceedings of the association for information science and technology. Silver Springs, MD: American Society for Information Science.

Lee, I., Martin, F., & Apone, K. (2014). Integrating computational thinking across the K-8 curriculum. ACM Inroads, 5 (4), 64–71. doi: 10.1145/2684721.2684736 .

Liu, J., & Wang, L. (2010). Computational thinking in discrete mathematics. In IEEE 2nd international workshop on education technology and computer science (pp. 413–416).

Lockwood, J., & Mooney, A. (2017). Computational thinking in education: Where does it fit? A Systematic Literary Review . (under review).

Lu, J., & Fletcher, G. (2009). Thinking about computational thinking. ACM SIGCSE Bulletin, 41 (1), 260–264. doi: 10.1145/1539024.1508959 .

Lye, S., & Koh, J. (2014). Review on teaching and learning of computational thinking through programming: What is next for K-12? Computers in Human Behavior, 41, 51–61. doi: 10.1016/j.chb.2014.09.012 .

Mezirow, J. (2000). Learning as transformation: Critical perspectives on a theory in progress . San Francisco: Jossey-Bass.

Mishra, P., Yadav, A., & Deep-Play Research Group. (2013). Rethinking technology & creativity in the 21st century. TechTrends, 57 (3), 10–14.

Mueller, J., Beckett, D., Hennessey, E., & Shodiev, H. (2017). Assessing computational thinking across the curriculum. In Emerging research, practice, and policy on computational thinking (pp. 251–267). Springer International Publishing.

National Council for Curriculum and Assessment. (2013). Draft specification for junior cycle short course. Retrieved from http://www.juniorcycle.ie/NCCA_JuniorCycle/media/NCCA/Documents/Consultation/Short%20Courses/SC_P_and_C.pdf .

National Research Council. (2011). Report of a workshop of pedagogical aspects of computational thinking. Retrieved from http://www.nap.edu/catalog.php?record_id=13170 .

Papert, S. (1996). An exploration in the space of mathematics educations. International Journal of Computers for Mathematical Learning, 1 (1), 95–123. doi: 10.1007/bf00191473 .

Polya, G. (1981). Mathematical discovery: On understanding, learning and teaching problem solving . New York: Wiley.

Resnick, M., Silverman, B., Kafai, Y., Maloney, J., Monroy-Hernández, A., Rusk, N., et al. (2009). Scratch. Communications of the ACM, 52 (11), 60. doi: 10.1145/1592761.1592779 .

Román-González, M., Pérez-González, J., & Jiménez-Fernández, C. (2017). Which cognitive abilities underlie computational thinking? Criterion validity of the computational thinking test. Computers in Human Behavior, 72, 678–691. doi: 10.1016/j.chb.2016.08.047 .

Sawyer, K. (2012). Explaining creativity: The science of human innovation (2nd ed.). New York: Oxford Univ. Press.

Sengupta, P., Kinnebrew, J., Basu, S., Biswas, G., & Clark, D. (2013). Integrating computational thinking with K-12 science education using agent-based computation: A theoretical framework. Education And Information Technologies, 18 (2), 351–380. doi: 10.1007/s10639-012-9240-x .

Snalune, P. (2015). The benefits of computational thinking. ITNOW, 57 (4), 58–59. doi: 10.1093/itnow/bwv111 .

Standl, B. (2016). A case study on cooperative problem solving processes in small 9th grade student groups. IEEE global engineering education conference (EDUCON), Abu Dhabi (pp. 961–967).

Voogt, J., Fisser, P., Good, J., Mishra, P., & Yadav, A. (2015). Computational thinking in compulsory education: Towards an agenda for research and practice. Education and Information Technologies, 20 (4), 715–728. doi: 10.1007/s10639-015-9412-6 .

Voskoglou, M. G., & Buckley, S. (2012). Problem solving and computers in a learning environment. Egyptian Computer Science Journal, 36 (4), 28–46.

Warneken, F., Steinwender, J., Hamann, K., & Tomasello, M. (2014). Young children’s planning in a collaborative problem-solving task. Cognitive Development, 31, 48–58. doi: 10.1016/j.cogdev.2014.02.003 .

Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., et al. (2015). Defining computational thinking for mathematics and science classrooms. Journal of Science Education and Technology, 25 (1), 127–147. doi: 10.1007/s10956-015-9581-5 .

Wenger, E. (1998). Communities of practice: Learning, meaning, and identity . Cambridge: Cambridge University Press.

Book   Google Scholar  

Williams, R. L. (2005). Targeting critical thinking within teacher education: The potential impact on Society. The Teacher Educator, 40 (3), 163–187.

Wing, J. (2006). Computational thinking. Communications of the ACM, 49 (3), 33. doi: 10.1145/1118178.1118215 .

Wing, J. (2008). Computational thinking and thinking about computing. Philosophical Transactions Of The Royal Society A: Mathematical, Physical And Engineering Sciences, 366 (1881), 3717–3725. doi: 10.1098/rsta.2008.0118 .

Wing, J. (2011). Research notebook: Computational thinking—What and why? The Link Newsletter, 6 , 1–32. Retrieved from http://link.cs.cmu.edu/files/11-399_The_Link_Newsletter-3.pdf .

Wing, J. (2014). Computational thinking benefits society. Social issues in computing . Retrieved from http://socialissues.cs.toronto.edu/2014/01/computational-thinking/ .

Wold, H. (1982). Soft modeling: The basic design and some extensions. In K. Joreskog & H. Wold (Eds.), Systems under indirect observation (pp. 1–54). Amsterdam: North-Holland.

Yadav, A., Hong, H., & Stephenson, C. (2016). Computational thinking for all: Pedagogical approaches to embedding 21st century problem solving in K-12 classrooms. Techtrends, 60 (6), 565–568. doi: 10.1007/s11528-016-0087-7 .

Yadav, A., Stephenson, C., & Hong, H. (2017). Computational thinking for teacher education. Communications of the ACM, 60 (4), 55–62. doi: 10.1145/2994591 .

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Doleck, T., Bazelais, P., Lemay, D.J. et al. Algorithmic thinking, cooperativity, creativity, critical thinking, and problem solving: exploring the relationship between computational thinking skills and academic performance. J. Comput. Educ. 4 , 355–369 (2017). https://doi.org/10.1007/s40692-017-0090-9

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DOI : https://doi.org/10.1007/s40692-017-0090-9

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What Is the Connection between Critical Thinking and Creativity?

The process of critical thinking is one that is based on the utilization of the cognition to perform a constructive analysis on a list of possibilities with the aim of eliminating the unlikely or less likely ones until only the best choice out of the various possibilities is left. Creativity is something that is inherent in an individual, meaning that is flows from the inside to the outside in torrents, based on the level of inspiration the individual may be undergoing at any given moment. As such, the connection between critical thinking and creativity is related to the ability of the individual to marshal the various creative ideas that are generated during the creative process until the individual is able to select the best path to follow in order to arrive at a desired outcome. The common link between critical thinking and creativity is the generation of ideas and the selection of the most likely path to lead to an end product the individual hopes to achieve.

An example of the connection between creative thinking and creativity can be seen in the case of a painter who receives an inspiration to paint a scene that forms in his or her mind. First of all, the painter will make the decision as to the type of material to use in depicting the scene, including the canvas variety, such a paper, cardboard, oil cloth or a board. Such considerations also include whether to use oil or other forms of painting as well as whether to make the painting more three-dimensional or flat. All of these considerations go rapidly through the mind of the painter even as the inspiration is coursing through his or her mind, and the final selection is one that is based on critical thinking, even until the outcome the painter hoped for is realized.

Another example of the link between critical thinking and creativity may also be seen in other creative endeavors, such as the creation of a play or movie script. The creation of the various characters as well as the choice of names, locations and words for the characters requires the application of critical thinking in addition to the creativity. Even inventors who are trying to develop a new product, or who are trying to improve a new product by developing an new variation will also apply critical thinking and creativity as a means of achieving this purpose.

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• By: dred2010 A painter might form a scene in his mind that he then transfers to a canvas.
• By: pressmaster Creativity is inherent within an individual, meaning it flows from the inside out.
• By: Rawpixel Critical thinking allows people to organize their creative ideas.

College students’ critical thinking skills and creativity

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Evrialiani Rosba , Siti Zubaidah , Susriyati Mahanal , Sulisetijono; College students’ critical thinking skills and creativity. AIP Conf. Proc. 2 March 2021; 2330 (1): 070016. https://doi.org/10.1063/5.0043294

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This study aimed to determine students’ critical thinking skills and creativity and the relationship between critical thinking skills and creativity of students of Biology Education study program, STKIP PGRI, West Sumatra. This study involved 70 students who enrolled in the Plant Taxonomy course. A correlational research design was employed in this study. Data were obtained using a written test containing ten essay questions. The questions consisted of 5 essay questions on critical thinking skills and five essay questions on creativity. Critical thinking skills were assessed based on five aspects, namely: apply, evaluate, use data to develop critical insights, analyze, and synthesize. Creativity was assessed based on five aspects: curiosity, fluency, originality, elaboration, and flexibility. The data obtained were analyzed descriptively and continued with product-moment correlation analysis with regression analysis to determine the relationship between critical thinking and creativity. The results showed that the students achieved low scores in critical thinking and creativity. Therefore, it is necessary to empower the students to think critically and creatively to achieve better academic performance. Also, there was a positive correlation between critical thinking and creativity with a linear regression pattern of Y = 0.599 X + 14.282. Considering the strong relationship between critical thinking and creativity, learning process should be designed in a planned and continuous manner.

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ORIGINAL RESEARCH article

Fostering creativity and critical thinking in college: a cross-cultural investigation.

• 1 Department of Psychology, Pace University, New York, NY, United States
• 2 Developmental and Educational Research Center for Children's Creativity, Faculty of Education, Beijing Normal University, Beijing, China

Enhancing creativity and critical thinking have garnered the attention of educators and researchers for decades. They have been highlighted as essential skills for the 21st century. A total of 103 United States students (53 female, 24 male, two non-binary, and 24 non-reporting) and 166 Chinese students (128 female, 30 male, one non-binary, and seven non-reporting) completed an online survey. The survey includes the STEAM-related creative problem solving, Sternberg scientific reasoning tasks, psychological critical thinking (PCT) exam, California critical thinking (CCT) skills test, and college experience survey, as well as a demographic questionnaire. A confirmatory factor analysis (CFA) yields a two-factor model for all creativity and critical thinking measurements. Yet, the two latent factors are strongly associated with each other ( r =0.84). Moreover, Chinese students outperform American students in measures of critical thinking, whereas Americans outperform Chinese students in measures of creativity. Lastly, the results also demonstrate that having some college research experience (such as taking research method courses) could positively influence both United States and Chinese students’ creativity and critical thinking skills. Implications are discussed.

Introduction

Creativity and critical thinking have been recognized as essential skills in the 21st century ( National Education Association, 2012 ). Many researchers and educators have focused on these two skills, including acquisition, enhancement, and performance. In addition, numerous studies have been devoted to understanding the conceptual complexities involved in creativity and critical thinking. Although similar to each other, creativity and critical thinking are distinctive by definition, each with a different emphasis.

The concept of creativity has evolved over the years. It was almost exclusively conceptualized as divergent thinking when Guilford (1956 , 1986) proposed divergent thinking as a part of intelligence. Earlier measures of creativity took the approach of divergent thinking, measuring creative potential ( Wallach and Kogan, 1965 ; Torrance, 1966 , 1988 ; Runco and Albert, 1986 ; Kim, 2005 ). In 1990s, many creativity scholars challenged the validity of tests of divergent thinking, and suggested that divergent thinking only captures the trivial sense of creativity, and proposed to use the product-oriented method to measure creativity ( Csikszentmihalyi, 1988 ; Amabile, 1996 ; Sternberg and Lubart, 1999 ). A system model of creativity, which recognizes the important roles individual, field, and domain have played, was used as a framework to conceptualize creativity. A widely accepted definition for creativity is a person’s ability to generate an idea or product that is deemed as both novel and appropriate by experts in a field of human activities ( Scott and Bruce, 1994 ; Amabile, 1996 ; Csikszentmihalyi, 1999 ; Sternberg and Lubart, 1999 ; Hunter et al., 2007 ). Corazza and Lubart (2021) recently proposed a dynamic definition of creativity, in which creativity is defined as a context-embedded phenomenon that is tightly related to the cultural and social environment. Based on this new definition, measures of creativity should be context-specific and culturally relevant, especially when it is examined cross-culturally.

Similarly, the conceptualization of critical thinking has also evolved over the years. Earlier definitions emphasized the broad multidimensional aspects of critical thinking, including at least three aspects: attitude, knowledge, and skills ( Glaser, 1941 ). The definition has been evolved to include specific components for each aspect ( Watson and Glaser, 1980 ). For example, critical thinking is recognized as the ability to use cognitive skills or strategies to increase the probability of a desirable outcome ( Halpern, 1999 ). More specifically, cognitive skills such as evaluation, problem-solving, reflective thinking, logical reasoning, and probability thinking are recognized as parts of critical thinking skills in research and assessments ( Ennis, 1987 , Scriven and Paul, 1987 , Halpern, 1999 ). Moving into the 21st century, metacognition and self-regulatory skills have also become essential components for critical thinking in addition to the cognitive skills recognized by earlier scholars ( Korn, 2014 , Paul and Elder, 2019 ).

Similar to the concept of creativity, critical thinking is also viewed as multidimensional and domain specific ( Bensley and Murtagh, 2012 ). For example, critical thinking in psychology, also referred to as psychological critical thinking (PCT), is defined as one’s ability to evaluate claims in a way that explicitly incorporates basic principles of psychological science ( Lawson, 1999 ). As one of the important hub sciences, psychology is often regarded as a foundational course for scientific training in American higher education ( Boyack et al., 2005 ). In psychological discourse, critical thinking is often defined in tandem with scientific thinking, which places significance on hypothesis-testing and problem-solving in order to reduce bias and erroneous beliefs ( Halpern, 1984 ; American Psychological Association, 2016 ; Lamont, 2020 ; Sternberg and Halpern, 2020 ). Based on this definition, measures of critical thinking should assess cognitive skills (i.e., evaluation, logical reasoning) and ability to utilize scientific methods for problem-solving.

In addition to the evolution of the definitions of critical thinking and creativity, research into these two concepts has led to the development of various measurements. For both concepts, there have been numerous measurements that have been studied, utilized, and improved.

The complexities associated with creativity (i.e., context-relevant and domain-specificity) pose a major issue for its measurement. Many different types of creativity measures have been developed in the past. Measures using a divergent thinking approach, such as the Torrance Tests of Creative Thinking ( Torrance, 1974 ) and Alternate Uses Test ( Guilford et al., 1960 ), a product-oriented approach, a third person nomination approach, as well as a self-report approach measuring personality ( Gough, 1979 ), creative behavior ( Hocevar and Michael, 1979 ; Rodriguez-Boerwinkle et al., 2021 ), and creative achievement ( Carson et al., 2005 ; Diedrich et al., 2018 ).

Both the divergent thinking and the product-oriented approaches have been widely used in the creativity literature to objectively measure creativity. The tasks of both approaches are generally heuristic, meaning that no correct answer is expected and the process does not need to be rational. When scoring divergent thinking, the number of responses (i.e., fluency) and the rareness of the response (i.e., originality) were used to represent creativity. When scoring products using the product-orientated approach, a group of experts provides their subjective ratings on various dimensions such as originality, appropriateness, and aesthetically appealing to these products using their subjective criteria. When there is a consensus among the experts, average ratings of these expert scores are used to represent the creativity of the products. This approach is also named as Consensual Assessment Technique (CAT; Amabile, 1982 , 1996 ). Some scholars viewed the CAT approach as focusing on the convergent aspect of creativity ( Lubart et al., 2013 ). Recognizing the importance of divergent and convergent thinking in conceptualizing creativity, Lubart et al. (2013) have suggested including divergent thinking and product-oriented approach (i.e., CAT) to objective measures of creativity ( Barbot et al., 2011 ).

Similar to measures of creativity, measurements of critical thinking are also multilevel and multi-approach. In an article reviewing the construction of critical thinking in psychological studies, Lamont (2020) argues that critical thinking became a scientific object when psychologists attempted to measure it. Different from measures of creativity, where the tasks are heuristic in nature, measures of critical thinking require participants to engage in logical thinking. Therefore, the nature of critical thinking tasks is more algorithmic.

The interest in the study of critical thinking is evident in the increased efforts in the past decades to measure such a complex, multidimensional skill. Watson-Glaser Tests for Critical Thinking ( Watson and Glaser, 1938 ) is widely recognized as the first official measure of critical thinking. Since then, numerous measurements of critical thinking have been developed to evaluate both overall and domain-specific critical thinking, such as the PCT Exam ( Lawson, 1999 ; See Mueller et al., 2020 for list of assessments). A few of the most commonly used contemporary measures of critical thinking include the Watson-Glaser Test for Critical Thinking Appraisals ( Watson and Glaser, 1980 ), Cornell Critical Thinking Test ( Ennis et al., 1985 ), and California Critical Thinking (CCT) Skills Test ( Facione and Facione, 1994 ). As the best established and widely used standardized critical thinking measures, these tests have been validated in various studies and have been used as a criterion for meta-analyses ( Niu et al., 2013 ; Ross et al., 2013 ).

There have also been concerns regarding the usage of these standardized measures of critical thinking on its own due to its emphasis on measuring general cognitive abilities of participants, while negating the domain-specific aspect of critical thinking ( Lamont, 2020 ). The issues associated with standardized measures are not unique to standardized critical thinking measures, as same types of criticisms have been raised for standardized college admissions measures such as the Graduate Record Exam (GRE). To develop an assessment that encompasses a broader range of student abilities that is more aligned to scientific disciplines, Sternberg and Sternberg (2017) developed a scientific inquiry and reasoning measure. This measure is aimed to assess participants’ ability to utilize scientific methods and to think scientifically in order to investigate a topic or solve a problem ( Sternberg and Sternberg, 2017 ). The strength of this measure is that it assesses students’ abilities (i.e., ability to think critically) that are domain-specific and relevant to the sciences. Considering the multidimensional aspect of critical thinking, a combination of a standardized critical thinking measure, an assessment measuring cognitive abilities involved in critical thinking; and a measure that assesses domain-specific critical thinking, would provide a comprehensive evaluation of critical thinking.

The Relationship Between Creativity and Critical Thinking

Most of the studies thus far referenced have investigated creativity and critical thinking separately; however, the discussion on the relationship between creativity and critical thinking spans decades of research ( Barron and Harrington, 1981 ; Glassner and Schwartz, 2007 ; Wechsler et al., 2018 ; Akpur, 2020 ). Some earlier studies on the relationship between divergent thinking and critical thinking have observed a moderate correlation ( r =0.23, p <0.05) between the two ( Gibson et al., 1968 ). Using measures of creative personality, Gadzella and Penland (1995) also found a moderate correlation ( r =0.36, p <0.05) between creative personality and critical thinking.

Recent studies have further supported the positive correlation between critical thinking and creativity. For example, using the creative thinking disposition scale to measure creativity, Akpur (2020) found a moderate correlation between the two among college students ( r =0.27, p <0.05). Similarly, using the critical thinking disposition scale to measure critical thinking and scientific creativity scale and creative self-efficacy scale to measure creativity, Qiang et al. (2020) studied the relationship between critical thinking and creativity to a large sample of high school students ( n =1,153). They found that the relationship between the two varied depending on the type of measurement of creativity. More specifically, the correlation between critical thinking disposition and creative self-efficacy was r =0.045 ( p <0.001), whereas the correlation between critical thinking disposition and scientific creativity was r =0.15 ( p <0.01).

Recognizing the moderate relationship between the two, researchers have also aimed to study the independence of creativity and critical thinking. Some studies have found evidence that these constructs are relatively autonomous. The results of Wechsler et al. (2018) study, which aimed to investigate whether creativity and critical thinking are independent or complementary processes, found a relative autonomy of creativity and critical thinking and found that the variables were only moderately correlated. The researchers in this study suggest that a model that differentiated the two latent variables associated with creativity and critical thinking dimensions was the most appropriate method of analysis ( Wechsler et al., 2018 ). Evidence to suggest that creativity and critical thinking are fairly independent processes was also found in study of Ling and Loh (2020) . The results of their research, which examined the relationship of creativity and critical thinking to pattern recognition, revealed that creativity is a weak predictor of pattern recognition. In contrast, critical thinking is a good predictor ( Ling and Loh, 2020 ).

It is worth noting that a possible explanation for the inconsistencies in these studies’ results is the variance in the definition and the measures used to evaluate creativity and critical thinking. Based on the current literature on the relationship between creativity and critical thinking, we believe that more investigation was needed to further clarify the relationship between creativity and critical thinking which became a catalyst for the current study.

Cross-Cultural Differences in Creativity and Critical Thinking Performance

Results from various cross-cultural studies suggest that there are differences in creativity and critical thinking skills among cultures. A common belief is that individuals from Western cultures are believed to be more critical and creative compared to non-Westerners, whereas individuals from non-Western cultures are believed to be better at critical thinking related tasks compared to Westerners ( Ng, 2001 ; Wong and Niu, 2013 ; Lee et al., 2015 ). For example, Wong and Niu (2013) found a persistent cultural stereotype regarding creativity and critical thinking skills that exist cross-culturally. In their study, both Chinese and Americans believed that Chinese perform better in deductive reasoning (a skill comparable to critical thinking) and that Americans perform better on creativity. This stereotype belief was found to be incredibly persistent as participants did not change their opinions even when presented with data that contradicted their beliefs.

Interestingly, research does suggest that such a stereotype might be based on scientific evidence ( Niu et al., 2007 ; Wong and Niu, 2013 ). In the same study, it was revealed that Chinese did in fact perform better than Americans in deductive reasoning, and Americans performed better in creativity tests ( Wong and Niu, 2013 ). Similarly, Lee et al. (2015) found that compared to American students, Korean students believed that they are more prone to use receptive learning abilities (remembering and reproducing what is taught) instead of critical and creative learning abilities.

Cultural Influence on Critical Thinking

Other studies investigating the cultural influence on critical thinking have had more nuanced findings. Manalo et al. (2013) study of university students from New Zealand and Japan found that culture-related factors (self-construal, regulatory mode, and self-efficacy) do influence students’ critical thinking use. Still, the differences in those factors do not necessarily equate to differences in critical thinking. Their results found that students from Western and Asian cultural environments did not have significant differences in their reported use of critical thinking. The researchers in this study suggest that perhaps the skills and values nurtured in the educational environment have a more significant influence on students’ use of critical thinking ( Manalo et al., 2013 ).

Another study found that New Zealand European students performed better on objective measures of critical thinking than Chinese students. Still, such differences could be explained by the student’s English proficiency and not dialectical thinking style. It was also revealed in this study that Chinese students tended to rely more on dialectical thinking to solve critical thinking problems compared to the New Zealand European students ( Lun et al., 2010 ). Other research on the cultural differences in thinking styles revealed that Westerners are more likely to use formal logical rules in reasoning. In contrast, Asians are more likely to use intuitive experience-based sense when solving critical thinking problems ( Nisbett et al., 2001 ).

These studies suggest that culture can be used as a broad taxonomy to explain differences in critical thinking use. Still, one must consider the educational environment and thinking styles when studying the nature of the observed discrepancies. For instance, cultural differences in thinking style, in particular, might explain why Westerners perform better on some critical thinking measures, whereas Easterners perform better on others.

Cultural Influence on Creative Performance

Historically, creativity studies have suggested that individuals from non-Western cultures are not as creative as Westerners ( Torrance, 1974 ; Jellen and Urban, 1989 ; Niu and Sternberg, 2001 ; Tang et al., 2015 ). For example, in one study, Americans generated more aesthetically pleasing artworks (as judged by both American and Chinese judges) than Chinese ( Niu and Sternberg, 2001 ). However, recent creativity research has suggested that cross-cultural differences are primarily attributable to the definition of creativity rather than the level of creativity between cultures. As aforementioned, creativity is defined as an idea or product that is both novel and appropriate. Many cross-cultural studies have found that Westerners have a preference and perform better in the novelty aspect, and Easterners have a preference and perform better in the appropriateness aspect. In cross-cultural studies, Rockstuhl and Ng (2008) found that Israelis tend to generate more original ideas than their Singaporean counterparts. In contrast, Singaporeans tend to produce more appropriate ideas. Bechtoldt et al. (2012) found in their study that Koreans generated more useful ideas, whereas Dutch students developed more original ideas. Liou and Lan (2018) found Taiwanese tend to create and select more useful ideas, whereas Americans tend to generate and choose more novel ideas. The differences in creativity preference and performance found in these studies suggest that cultural influence is a prominent factor in creativity.

In summary, cross-cultural studies have supported the notion that culture influences both creativity and critical thinking. This cultural influence seems relatively unambiguous in creativity as it has been found in multiple studies that cultural background can explain differences in performance and preference to the dual features of creativity. Critical thinking has also been influenced by culture, albeit in an opaquer nature in comparison to creativity. Critical thinking is ubiquitous in all cultures, but the conception of critical thinking and the methods used to think critically (i.e., thinking styles) are influenced by cultural factors.

Influence of College Experience on Creativity and Critical Thinking

Given its significance as a core academic ability, the hypothesis of many colleges and universities emphasize that students will gain critical thinking skills as the result of their education. Fortunately, studies have shown that these efforts have had some promising outcomes. Around 92% of students in multi-institution research reported gains in critical thinking. Only 8.9% of students believed that their critical thinking had not changed or had grown weaker ( Tsui, 1998 ). A more recent meta-analysis by Huber and Kuncel (2016) found that students make substantial gains in critical thinking during college. In addition, the efforts to enhance necessary thinking skills have led to the development of various skill-specific courses. Mill et al. (1994) found that among three groups of undergraduate students, a group that received tutorial sessions and took research methodology and statistics performed significantly better on scientific reasoning and critical thinking abilities tests than control groups. Penningroth et al. (2007) found that students who took a class in which they were required to engage in active learning and critical evaluation of claims by applying scientific concepts, had greater improvement in psychological critical thinking than students in the comparison groups. There have also been studies in which students’ scientific inquiry and critical thinking skills have improved by taking a course designed with specific science thinking and reasoning modules ( Stevens and Witkow, 2014 ; Stevens et al., 2016 ).

Using a Survey of Undergraduate Research Experience (SURE), Lopatto (2004 , 2008) found that research experience can help students gain various learning skills such as ability to integrate theory and practice, ability to analyze data, skill in the interpretation of results, and understanding how scientists work on problem. All of these learning skills correspond to at least one of the dimensions mentioned earlier in the definition of critical thinking (i.e., evaluation, analytical thinking, and problem solving through). Thus, results of SURE provide evidence that critical thinking can be enhanced through research experience ( Lopatto, 2004 , 2008 ).

In comparison to critical thinking, only a few studies have examined the interaction between creativity and college experience. Previous research on STEM provides some evidence to suggest that STEM education can promote the learner’s creativity ( Land, 2013 , Guo and Woulfin, 2016 , Kuo et al., 2018 ). Notably, study of Kuo et al. (2018) suggest that project-based learning in STEM has the merits of improving one’s creativity. They found that the STEM Interdisciplinary Project-Based Learning (IPBL) course is a practical approach to improve college student’s creativity ( Kuo et al., 2018 ). College research experience in particular, has been reported as important or very important by faculty and students for learning how to approach problems creatively ( Zydney et al., 2002 ).

Although specific college courses aimed to enhance creativity have been scarce, some training programs have been developed specifically to improve creativity. Scott et al. (2004) conducted a quantitative review of various creativity training and found that divergent thinking, creative problem solving, and creativity performance can be enhanced through skill-specific training programs. Embodied creativity training programs, consisting of creativity fitness exercises and intensive workshops, have also been effective in enhancing participants’ creative production and improving their creative self-efficacy ( Byrge and Tang, 2015 ).

Both critical thinking and creativity were also found to be important in students’ learning. Using a longitudinal design for one semester to 52 graduate students in biology, Siburian et al. (2019) studied how critical thinking and creative thinking contribute to improving cognitive learning skills. They found that both critical and creative thinking significantly contributes to enhancing cognitive learning skills ( R 2 =0.728). They each contribute separately to the development of cognitive learning skills ( b was 0.123 between critical thinking and cognitive learning and 0.765 between creative thinking and cognitive learning). The results from research on creativity and critical thinking indicate that training and experiences of students in college can enhance both of these skills.

Current Study

Previous literature on creativity and critical thinking suggests that there is a positive correlation between these two skills. Moreover, cultural background influences creativity and critical thinking conception and performance. However, our literature review suggests that there are only a few studies that have investigated creativity and critical thinking simultaneously to examine whether cultural background is a significant influence in performance. In addition, most of the past research on creativity and critical thinking have relied on dispositions or self-reports to measure the two skills and the investigation on the actual performance have been scarce. Lastly, past studies suggest that the acquisition and enhancement of these skills are influenced by various factors. Notably, college experience and skill-specific training have been found to improve both creativity and critical thinking. However, it is not yet clear how college experience aids in fostering creativity and critical thinking and which elements of college education are beneficial for enhancing these two skills. The cultural influence on creativity and critical thinking performance also needs further investigation.

The current study aimed to answer two questions related to this line of thought. How does culture influence creativity and critical thinking performance? How does college experience affect creativity and critical thinking? Based on past findings, we developed three hypotheses. First, we hypothesized that there is a positive association between critical thinking and creativity. Second, we suggest that college students from different countries have different levels of creativity and critical thinking. More specifically, we predicted that United States students would perform better than Chinese students on both creativity and critical thinking. Last, we hypothesized that having college research experience (through courses or research labs) will enhance creativity and critical thinking.

Materials and Methods

Participants.

The study was examined by the Internal Review Board by the host university in the United States and obtained an agreement from a partner university in China to meet the ethical standard of both countries.

Participants include 103 university students from the United States and 166 university students from Mainland China. Among all participants, 181 were female (67.3%), 54 were male (20.1%), non-binary or gender fluid ( n =3, 1.1%), and some did not report their gender ( n =31, 11.5%). The majority of participants majored in social sciences ( n =197, 73.2%). Other disciplines include business and management ( n =38, 14.1%), engineering and IT ( n =20, 7.4%), and sciences ( n =14, 5.2%). A Chi-square analysis was performed to see if the background in major was different between the American and Chinese samples. The results showed that the two samples are comparable in college majors, X 2 (3, 265) =5.50, p =0.138.

The American participants were recruited through campus recruitment flyers and a commercial website called Prolific (online survey distribution website). Ethnicities of the American participants were White ( n =44, 42.7%), Asian ( n =13, 12.6%), Black or African American ( n =11, 10.7%), Hispanic or Latinos ( n =5, 4.9%), and some did not report their ethnicity ( n =30, 29.1%). The Chinese participants were recruited through online recruitment flyers. All Chinese students were of Han ethnicity.

After reviewing and signing an online consent form, both samples completed a Qualtrics survey containing creativity and critical thinking measures.

Measurements

Steam related creative problem solving.

This is a self-designed measurement, examining participant’s divergent and convergent creative thinking in solving STEAM-related real-life problems. It includes three vignettes, each depicting an issue that needs to be resolved. Participants were given a choice to pick two vignettes to which they would like to provide possible solutions for. Participants were asked to provide their answers in two parts. In the first part, participants were asked to provide as many solutions as they can think of for the problem depicted (divergent). In the second part, participants were asked to choose one of the solutions they gave in the first part that they believe is the most creative and elaborate on how they would carry out the solution (convergent).

The responses for the first part of the problem (i.e., divergent) were scored based on fluency (number of solutions given). Each participant received a score on fluency by averaging the number of solutions given across three tasks. In order to score the originality of the second part of the solution (i.e., convergent), we invited four graduate students who studied creativity for at least 1year as expert judges to independently rate the originality of all solutions. The Cronbach’s Alpha of the expert ratings was acceptable for all three vignette solutions (0.809, 0.906, and 0.703). We then averaged the originality scores provided by the four experts to represent the originality of each solution. We then averaged the top three solutions as rated by the experts to represent the student’s performance on originality. In the end, each student received two scores on this task: fluency and originality.

Psychological Critical Thinking Exam

We adopted an updated PCT Exam developed by Lawson et al. (2015) , which made improvements to the original measure ( Lawson, 1999 ). We used PCT to measure the participants’ domain-specific critical thinking: critical thinking involved in the sciences. The initial assessment aimed to examine the critical thinking of psychology majors; however, the updated measure was developed so that it can be used to examine students’ critical thinking in a variety of majors. The split-half reliability of the revised measurement was 0.88, and test-retest reliability was 0.90 ( Lawson et al., 2015 ). Participants were asked to identify issues with a problematic claim made in two short vignettes. For example, one of the questions states:

Over the past few years, Jody has had several dreams that apparently predicted actual events. For example, in one dream, she saw a car accident and later that week she saw a van run into the side of a pickup truck. In another dream, she saw dark black clouds and lightning and 2days later a loud thunderstorm hit her neighborhood. She believes these events are evidence that she has a psychic ability to predict the future through her dreams. Could the event have occurred by chance? State whether or not there is a problem with the person’s conclusions and explain the problem (if there is one).

Responses were scored based on the rubric provided in the original measurement ( Lawson et al., 2015 ). If no problem was identified the participants would receive zero points. If a problem was recognized but misidentified, the participants would receive one point. If the main problem was identified and other less relevant problems were identified, the participants received two points. If participants identified only the main problem, they received three points. Following the rubric, four graduate students independently rated the students’ critical thinking task. The Cronbach’s Alpha of the expert ratings was acceptable for both vignettes (0.773 and 0.712). The average of the four scores given by the experts was used as the final score for the participants.

California Critical Thinking Skills Test

This objective measure of critical thinking was developed by Facione and Facione (1994) . We used CCT to measure a few of the multidimensions of critical thinking such as evaluation, logical reasoning, and probability thinking. Five sample items provided from Insight Assessment were used instead of the standard 40-min long CCT. Participants were presented with everyday scenarios with 4–6 answer choices. Participants were asked to make an accurate and complete interpretation of the question in order to correctly answer the question by choosing the right answer choice (each correct answer was worth one point). This test is commonly used to measure critical thinking, and previous research has reported its reliability as r =0.86 ( Hariri and Bagherinejad, 2012 ).

Sternberg Scientific Inquiry and Reasoning

This measure was developed by Sternberg and Sternberg (2017) as an assessment of scientific reasoning. We used this assessment as a domain-specific assessment to measure participants’ scientific creativity (generating testable hypotheses) and scientific critical thinking involved in generating experiments. For this two-part measure, participants were asked to read two short vignettes. For one of the vignettes, participants were asked to generate as many hypotheses as possible to explain the events described in the vignette. For the other, create an experiment to test the hypothesis mentioned in the vignette.

After carefully reviewing the measurement, we notice that the nature of the tasks in the first part of this measure (hypothesis generation) relied on heuristics, requiring participants to engage in divergent thinking. The number of valid hypotheses provided (i.e., fluency) was used to represent the performance of this task. We, therefore, deem that this part measures creativity. In contrast, the second part of the measure, experiment generation, asked participants to use valid scientific methods to design an experiment following the procedure of critical thinking such as evaluation, problem-solving, and task evaluation. Its scoring also followed algorithms so that a correct answer could be achieved. For the above reasons, we believe hypotheses generation is a measurement of creativity and experiment generation is a measurement for critical thinking.

Based on the recommended scoring manual, one graduate student calculated the fluency score from the hypothesis generation measurement. Four experts read through all students’ responses to the experiment generation. They discussed a rubric on how to score these responses, using a four-point scale, with a “0” representing no response or wrong response, a “1” representing partially correct, a “2” representing correct response. An additional point (the three points) was added if the participant provided multiple design methods. Based on the above rubric, the four experts independently scored this part of the questionnaire. The Cronbach’s Alpha of the four expert ratings was 0.792. The average score of the four judges was used to represent their critical thinking scores on this task.

College Experience Survey

Participants were asked about their past research experience, either specifically in psychology or in general academia. Participants were asked to choose between three choices: no research experience, intermediate research experience (i.e., research work for class, research work for lab), and advanced research experience (i.e., professional research experience, published works).

Demographic and Background Questionnaire

Series of standard demographic questions were asked, including participants’ age, gender, and ethnicity.

We performed a Pearson correlation to examine the relationship between creativity and critical thinking (the two-c), which include performances on three measures on creativity ( creativity originality , creativity fluency , and hypothesis generation ) and three measures on critical thinking ( experiment generation , CCT , and PCT ).

Most of the dependent variables had a significantly positive correlation. The only insignificant correlation was found between Sternberg hypothesis generation and CCT, r (247) =0.024, p =0.708 (see Table 1 ).

Table 1 . Correlation coefficients for study variables.

Confirmatory factor analysis (CFA) was conducted by applying SEM through AMOS 21 software program and the maximum likelihood method. One-factor and two-factor models have been analyzed, respectively (see Figure 1 ).

Figure 1 . The comparison of the two confirmatory factor analysis (CFA) models: one-factor vs. two-factor.

As it is demonstrated in Table 2 , the value ranges of the most addressed fit indices used in the analysis of SEM are presented. Comparing two models, χ 2 /df of the two-factor model is in a good fit, while the index of the one-factor model is in acceptable fit. The comparison of the two models suggest that the two-factor model is a better model than the one-factor model.

Table 2 . Recommended values for evaluation and the obtained values.

Cross-Cultural Differences in Critical Thinking and Creativity

We conducted a 2 (Country: the United States vs. China)×2 (Two-C: Creativity and Critical Thinking) ANOVA to investigate the cultural differences in critical thinking and creativity. We averaged scores of three critical thinking measurement ( experiment generation , PCT , and CCT ) to represent critical thinking and averaged three creativity scores ( creativity originality , creativity fluency , and hypothesis generation ).

This analysis revealed a significant main effect for the type of thinking (i.e., creative vs. critical thinking), F (1,247) =464.77, p <0.01, η p 2 =0.653. Moreover, there was a significant interaction between country (i.e., the United States vs. China) and type of thinking, F (1,247) =62.00, p <0.01, η p 2 =0.201. More specifically, Chinese students ( M =1.32, SD =0.59) outperformed American students ( M =1.02, SD =0.44) on critical thinking. In contrast, American students ( M =2.59, SD =1.07) outperformed Chinese students ( M =2.05, SD =0.83) on creativity.

Influence of Research Experience on Critical Thinking and Creativity

The last hypothesis states that having college research experience (through courses or research lab) would enhance students’ creativity and critical thinking from both countries. We performed a 2 (Two-C: Creativity and Critical Thinking)×2 (Country: the United States vs. China)×3 (Research Experience: Advanced vs. Some vs. No) ANOVA to test this hypothesis. This analysis revealed a significant main effect for research experience, F (2,239) =4.05, p =0.019, η p 2 =0.033. Moreover, there was a significant interaction between country (i.e., the United States vs. China) and research experience, F (2,239) =5.77, p =0.004, η p 2 =0.046. In addition, there was a three-way interaction among country, two-C, and research experience. More specifically, with an increase of research experience for American students, both critical thinking and creativity improved. In contrast, for Chinese students, the impact of research experience was not significant for creativity. However, some research experience positively impacted Chinese students’ critical thinking (see Figure 2 ).

Figure 2 . Estimated marginal means of Two-C for the United States and Chinese samples.

The current study aimed to investigate the relationship between creativity and critical thinking, how culture influences creativity and critical thinking, and how college research experience affects creativity and critical thinking. Our results supported the first hypothesis regarding the positive correlation among all of the dependent variables. The mean correlation between the measures of creativity and critical thinking was 0.230. This result was in line with the findings from previous research ( Gibson et al., 1968 ; Gadzella and Penland, 1995 ; Siburian et al., 2019 ; Akpur, 2020 ; Qiang et al., 2020 ). Moreover, our confirmatory factor analysis yielded similar results as analysis of Wechsler et al. (2018) and Akpur (2020) and provides more evidence of the relative independence between creativity and critical thinking. We found that at the latent variable level, the two skills are highly correlated to each other ( r =0.84). In addition, we found that although the one-factor model was an acceptable fit, a two-factor model was a better fit for analysis. This result suggests that despite the correlation between creativity and critical thinking, the two skills should be studied as separate factors for an appropriate and comprehensive analysis.

The results of this study partially confirmed our second hypothesis and replicated the findings from past studies ( Niu et al., 2007 ; Lun et al., 2010 ; Wong and Niu, 2013 ; Tang et al., 2015 ). As predicted, there was a significant main effect for culture in students’ performance for all six measures in the two-C analysis model. United States students performed better than Chinese students in all three creativity measures, and Chinese students performed better than United States students in all critical thinking measures. Given the diversity in the type of measures used in this study, the results suggest that United States and Chinese students’ performance aligns with the stereotype belief found in study of Wong and Niu (2013) . The findings from the current study suggest that the stereotype belief observed in both United States and Chinese students (United States students generally perform better on creativity tasks, while Chinese students perform typically better on critical thinking tasks) is not entirely unfounded. Furthermore, the clear discrepancy in performance between United States and Chinese students provides more evidence to suggest that creativity and critical thinking are relatively autonomous skills. Although, a high correlation between these two skills was found in our study, the fact that students from two different cultures have two different development trajectories in critical thinking and creativity suggests that these two skills are relatively autonomous.

Lastly, the results also confirmed our third hypothesis, that is, college research experience did have a positive influence on students’ creativity and critical thinking. Compared to students with no research experience, students with some research experience performed significantly better in all measures of creativity and critical thinking. This finding is consistent with the previous literature ( Mill et al., 1994 ; Penningroth et al., 2007 ; Stevens and Witkow, 2014 ; Stevens et al., 2016 ; Kuo et al., 2018 ). The result of our study suggests that college research experience is significant to enhance both creativity and critical thinking. As research experience becomes a more essential component of college education, our results suggest that it not only can add credential for applying to graduate school or help students learn skills specific to research, but also help students enhance both creativity and critical thinking. Furthermore, it is worth noting that this nature held true for both Chinese and American students. To our knowledge, this is a first investigation examining the role of research experience in both creativity and critical thinking cross-culturally.

In addition to the report of our findings, we would like to address some limitations of our study. First, we would like to note that this is a correlational and cross-sectional study. A positive correlation between research experience and the two dependent variables does not necessarily mean causation. Our results indeed indicate a positive correlation between research experience and the two-C variables; however, we are not sure of the nature of this relationship. It is plausible that students with higher creativity and critical thinking skills are more engaged in research as much as it is to argue in favor of a reversed directional relationship. Second, we would like to note the sample bias in our study. Majority of our participants were female, majoring in the social sciences and a relatively high number of participants chose not to report their gender. Third, we would like to note that our study did not measure all creativity and critical thinking dimensions, we discussed in the introduction. Instead, we focused on a few key dimensions of creativity and critical thinking. Our primary focus was on divergent thinking, convergent thinking, and scientific creativity as well as few key dimensions of critical thinking (evaluation, logical reasoning, and probability thinking), scientific critical thinking involved in problem solving and hypothesis testing. Moreover, our results do not show what specific components of research training are beneficial for the enhancement of creativity and critical thinking.

For future research, a longitudinal design involving a field experiment will help investigate how different research training components affect the development of creativity and critical thinking. In addition, a cross-cultural study can further examine how and why the students from different cultures differ from each other in the development of these two potentials. As such, it might shed some light on the role of culture in creativity and critical thinking.

Conclusion and Implication

The result of our study provides few insights to the study of creativity and critical thinking. First, creativity and critical thinking are a different construct yet highly correlated. Second, whereas Americans perform better on creativity measures, Chinese perform better on critical thinking measures. Third, for both American and Chinese students, college research experience is a significant influence on the enhancement of creativity and critical thinking. As research experience becomes more and more essential to college education, its role can not only add professional and postgraduate credentials, but also help students enhance both creativity and critical thinking.

Based on our results, we recommend that research training be prioritized in higher education. Moreover, each culture has strengths to develop one skill over the other, hence, each culture could invest more in developing skills that were found to be weaker in our study. Eastern cultures can encourage more creativity and Western cultures can encourage more critical thinking.

To conclude, we would like to highlight that, although recognized globally as essential skills, methods to foster creativity and critical thinking skills and understanding creativity and critical thinking as a construct requires further research. Interestingly, our study found that experience of research itself can help enhance creativity and critical thinking. Our study also aimed to expand the knowledge of creativity and critical thinking literature through an investigation of the relationship of the two variables and how cultural background influences the performance of these two skills. We hope that our findings can provide insights for researchers and educators to find constructive methods to foster students’ essential 21st century skills, creativity and critical thinking, to ultimately enhance their global competence and life success.

Data Availability Statement

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

Ethics Statement

The studies involving human participants were reviewed and approved by Institutional Review Board at Pace University. The participants provided their informed consent online prior to participating in the study.

Author Contributions

All authors listed have made a substantial, direct, and intellectual contribution to the work, and approved it for publication.

Conflict of Interest

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

Publisher’s Note

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

This work was supported by the International Joint Research Project of Faculty of Education, Beijing Normal University (ICER201904), and a scholarly research funding by Pace University.

Akpur, U. (2020). Critical, reflective, creative thinking and their reflections on academic achievement. Think. Skills Creat. 37:100683. doi: 10.1016/j.tsc.2020.100683

CrossRef Full Text | Google Scholar

Amabile, T. M. (1982). Social psychology of creativity: a consensual assessment technique. J. Pers. Soc. Psychol. 43, 997–1013. doi: 10.1037/0022-3514.43.5.997

Amabile, T. M. (1996). Creativity in Context: Update to “The Social Psychology of Creativity. ” Boulder, CO: Westview Press.

Google Scholar

American Psychological Association (2016). Guidelines for the undergraduate psychology major: version 2.0. Am. Psychol. 71, 102–111. doi: 10.1037/a0037562

PubMed Abstract | CrossRef Full Text | Google Scholar

Barbot, B., Besançon, M., and Lubart, T. (2011). Assessing creativity in the classroom. Open Educ. J. 4, 58–66. doi: 10.2174/1874920801104010058

Barron, F., and Harrington, D. M. (1981). Creativity, intelligence, and personality. Annu. Rev. Psychol. 32, 439–476. doi: 10.1146/annurev.ps.32.020181.002255

Bechtoldt, M., Choi, H., and Nijstad, A. B. (2012). Individuals in mind, mates by heart: individualistic self-construal and collective value orientation as predictors of group creativity. J. Exp. Soc. Psychol. 48, 838–844. doi: 10.1016/j.jesp.2012.02.014

Bensley, D. A., and Murtagh, M. P. (2012). Guidelines for a scientific approach to critical thinking assessment. Teach. Psychol. 39, 5–16. doi: 10.1177/0098628311430642

Boyack, K. W., Klavans, R., and Börner, K. (2005). Mapping the backbone of science. Scientometrics 64, 351–374. doi: 10.1007/s11192-005-0255-6

Byrge, C., and Tang, C. (2015). Embodied creativity training: effects on creative self-efficacy and creative production. Think. Skills Creat. 16, 51–61. doi: 10.1016/j.tsc.2015.01.002

Carson, S. H., Peterson, J. B., and Higgins, D. M. (2005). Reliability, validity, and factor structure of the creative achievement questionnaire. Creat. Res. J. 17, 37–50. doi: 10.1207/s15326934crj1701_4

Corazza, G. E., and Lubart, T. (2021). Intelligence and creativity: mapping constructs on the space-time continuum. J. Intell. 9:1. doi: 10.3390/jintelligence9010001

Csikszentmihalyi, M. (1988). “Society, culture, and person: A systems view of creativity” in The Nature of Creativity: Contemporary Psychological Perspectives. ed. Sternberg, R. J. (New York: Cambridge University Press), 325–339.

Csikszentmihalyi, M. (1999). “Implications of a systems perspective for the study of creativity” in Handbook of Creativity. ed. Sternberg, R. J. (New York, NY: Cambridge University Press), 313–335.

Diedrich, J., Jauk, E., Silvia, P. J., Gredlein, J. M., Neubauer, A. C., and Benedek, M. (2018). Assessment of real-life creativity: the inventory of creative activities and achievements (ICAA). Psychol. Aesthet. Creat. Arts 12, 304–316. doi: 10.1037/aca0000137

Ennis, R. H. (1987). “A taxonomy of critical thinking dispositions and abilities” in Teaching Thinking Skills: Theory and Practice. eds. Baron, J. B., and Sternberg, R. J. (New York, NY: W H Freeman/Times Books/Henry Holt & Co.), 9–26.

Ennis, R. H., Millman, J., and Tomko, T. N. (1985). Cornell Critical Thinking Test Level x and Level z Manual. 3rd Edn . Pacific Grove, CA: Midwest Publications.

Facione, P. A., and Facione, N. (1994). The California Critical Thinking Skills Test: Test Manual. Millbrae, CA: California Academic Press.

Gadzella, B. M., and Penland, E. (1995). Is creativity related to scores on critical thinking? Psychol. Rep. 77, 817–818. doi: 10.2466/pr0.1995.77.3.817

Gibson, J. W., Kibler, R. J., and Barker, L. L. (1968). Some relationships between selected creativity and critical thinking measures. Psychol. Rep. 23, 707–714. doi: 10.2466/pr0.1968.23.3.707

Glaser, E. M. (1941). An Experiment in the Development of Critical Thinking. New York, NY: Teachers College, Columbia University.

Glassner, A., and Schwartz, B. (2007). What stands and develops between creative and critical thinking? Argumentation? Think. Skills Creat. 2, 10–18. doi: 10.1016/j.tsc.2006.10.001

Gough, H. G. (1979). A creative personality scale for the adjective check list. J. Pers. Soc. Psychol. 37, 1398–1405. doi: 10.1037/0022-3514.37.8.1398

Guilford, J. P. (1956). The structure of intellect. Psychol. Bull. 53, 267–293. doi: 10.1037/h0040755

Guilford, J. P. (1986). Creative Talents: Their Nature, Uses and Development. Buffalo, NY: Bearly Ltd.

Guilford, J. P., Christensen, P. R., Merrifield, P. R., and Wilson, R. C. (1960). Alternate Uses Manual. Menlo Park, CA: Mind Garden, Inc.

Guo, J., and Woulfin, S. (2016). Twenty-first century creativity: an investigation of how the partnership for 21st century instructional framework reflects the principles of creativity. Roeper Rev. 38, 153–161. doi: 10.1080/02783193.2016.1183741

Halpern, D. F. (1984). Thought and Knowledge: An Introduction to Critical Thinking. Hillsdale, NJ: Erlbaum.

Halpern, D. F. (1999). Teaching for critical thinking: helping college students develop the skills and dispositions of a critical thinker. New Dir. Teach. Learn. 1999, 69–74. doi: 10.1002/tl.8005

Hariri, N., and Bagherinejad, Z. (2012). Evaluation of critical thinking skills in students of health faculty, Mazandaran university of medical sciences. J. Mazand. Univ. Med. Sci. 21, 166–173.

Hocevar, D., and Michael, W. B. (1979). The effects of scoring formulas on the discriminant validity of tests of divergent thinking. Educ. Psychol. Meas. 39, 917–921. doi: 10.1177/001316447903900427

Huber, C. R., and Kuncel, N. R. (2016). Does college teach critical thinking? A meta-analysis. Rev. Educ. Res. 86, 431–468. doi: 10.3102/0034654315605917

Hunter, S. T., Bedell, K. E., and Mumford, M. D. (2007). Climate for creativity: a quantitative review. Creat. Res. J. 19, 69–90. doi: 10.1080/10400410709336883

Jellen, H. U., and Urban, K. (1989). Assessing creative potential worldwide: the first cross-cultural application of the test for creative thinking–drawing production (TCT–DP). Gifted Educ. 6, 78–86. doi: 10.1177/026142948900600204

Kim, K. H. (2005). Can only intelligent people be creative? A meta-analysis. J. Sec. Gifted Educ. 16, 57–66. doi: 10.4219/jsge-2005-473

Korn, M. (2014). Bosses Seek ‘Critical Thinking,’ but What Is That? Wall Street Journal. Available at: https://online.wsj.com/articles/bosses-seek-critical-thinking-but-what-is-that-1413923730 (Accessed October 18, 2021).

Kuo, H.-C., Tseng, Y.-C., and Yang, Y.-T. C. (2018). Promoting college student's learning motivation and creativity through a STEM interdisciplinary PBL human-computer interaction system design and development course. Think. Skills Creat. 31, 1–10. doi: 10.1016/j.tsc.2018.09.001

Lamont, P. (2020). The construction of "critical thinking": between how we think and what we believe. Hist. Psychol. 23, 232–251. doi: 10.1037/hop0000145

Land, M. H. (2013). Full STEAM ahead: the benefits of integrating the arts into STEM. Compl. Adapt. Syst. 20, 547–552. doi: 10.1016/j.procs.2013.09.317

Lawson, T. J. (1999). Assessing psychological critical thinking as a learning outcome for psychology majors. Teach. Psychol. 26, 207–209. doi: 10.1207/S15328023TOP260311

Lawson, T. J., Jordan-Fleming, M. K., and Bodle, J. H. (2015). Measuring psychological critical thinking. Teach. Psychol. 42, 248–253. doi: 10.1177/0098628315587624

Lee, H.-J., Lee, J., Makara, K. A., Fishman, B. J., and Hong, Y. I. (2015). Does higher education foster critical and creative learners? An exploration of two universities in South Korea and the USA. High. Educ. Res. Dev. 34, 131–146. doi: 10.1080/07294360.2014.892477

Ling, M. K. D., and Loh, S. C. (2020). Relationship of creativity and critical thinking to pattern recognition among Singapore private school students. J. Educ. Res. 113, 59–76. doi: 10.1080/00220671.2020.1716203

Liou, S., and Lan, X. (2018). Situational salience of norms moderates cultural differences in the originality and usefulness of creative ideas generated or selected by teams. J. Cross-Cult. Psychol. 49, 290–302. doi: 10.1177/0022022116640897

Lopatto, D. (2004). Survey of undergraduate research experiences (SURE): first findings. Cell Biol. Educ. 3, 270–277. doi: 10.1187/cbe.04-07-0045

Lopatto, D. (2008). “Exploring the benefits of undergraduate research experiences: The SURE survey” in Creating Effective Undergraduate Research Programs in Science eds. R. Taraban and R. L. Blanton (New York: Teachers College Press), 112–132.

Lubart, T., Zenasni, F., and Barbot, B. (2013). Creative potential and its measurement. Int. J. Talent Dev. Creat. 1, 41–50.

Lun, V. M.-C., Fischer, R., and Ward, C. (2010). Exploring cultural differences in critical thinking: is it about my thinking style or the language I speak? Learn. Individ. Differ. 20, 604–616. doi: 10.1016/j.lindif.2010.07.001

Manalo, E., Kusumi, T., Koyasu, M., Michita, Y., and Tanaka, Y. (2013). To what extent do culture-related factors influence university students' critical thinking use? Think. Skills Creat. 10, 121–132. doi: 10.1016/j.tsc.2013.08.003

Mill, D., Gray, T., and Mandel, D. R. (1994). Influence of research methods and statistics courses on everyday reasoning, critical abilities, and belief in unsubstantiated phenomena. Can. J. Behav. Sci. 26, 246–258. doi: 10.1037/0008-400X.26.2.246

Mueller, J. F., Taylor, H. K., Brakke, K., Drysdale, M., Kelly, K., Levine, G. M., et al. (2020). Assessment of scientific inquiry and critical thinking: measuring APA goal 2 student learning outcomes. Teach. Psychol. 47, 274–284. doi: 10.1177/0098628320945114

National Education Association (2012). Preparing 21st Century Students for a Global Society: An educator's Guide to the "Four Cs". Alexandria, VA: National Education Association.

Ng, A.K. (2001). Why Asians Are less Creative than Westerners. Singapore: Prentice Hall.

Nisbett, R. E., Peng, K., Choi, I., and Norenzayan, A. (2001). Culture and systems of thought: holistic versus analytic cognition. Psychol. Rev. 108, 291–310. doi: 10.1037/0033-295X.108.2.291

Niu, L., Behar-Horenstein, L. S., and Garvan, C. W. (2013). Do instructional interventions influence college students' critical thinking skills? A meta-analysis. Educ. Res. Rev. 9, 114–128. doi: 10.1016/j.edurev.2012.12.002

Niu, W., and Sternberg, R. J. (2001). Cultural influences on artistic creativity and its evaluation. Int. J. Psychol. 36, 225–241. doi: 10.1080/00207590143000036

Niu, W., Zhang, J. X., and Yang, Y. (2007). Deductive reasoning and creativity: a cross-cultural study. Psychol. Rep. 100, 509–519. doi: 10.2466/pr0.100.2.509-519

Paul, R., and Elder, L. (2019). The Miniature Guide to Critical Thinking Concepts and Tools. 8th Edn . Lanham, MD: Foundation for Critical Thinking.

Penningroth, S. L., Despain, L. H., and Gray, M. J. (2007). A course designed to improve psychological critical thinking. Teach. Psychol. 34, 153–157. doi: 10.1080/00986280701498509

Qiang, R., Han, Q., Guo, Y., Bai, J., and Karwowski, M. (2020). Critical thinking disposition and scientific creativity: the mediating role of creative self-efficacy. J. Creat. Behav. 54, 90–99. doi: 10.1002/jocb.347

Rockstuhl, T., and Ng, K.-Y. (2008). The effects of cultural intelligence on interpersonal trust in multicultural teams. In Handbook of Cultural Intelligence: Theory, Measurement, and Applications. (eds.) Ang, S., and Dyne, L.Van. Armonk, NY: M.E. Sharpe. 206–220.

Rodriguez-Boerwinkle, R., Silvia, P., Kaufman, J. C., Reiter-Palmon, R., and Puryear, J. S. (2021). Taking inventory of the creative behavior inventory: an item response theory analysis of the CBI. [Preprint]. doi: 10.31234/osf.io/b7cfd

Ross, D., Loeffler, K., Schipper, S., Vandermeer, B., and Allan, G. M. (2013). Do scores on three commonly used measures of critical thinking correlate with academic success of health professions trainees? A systematic review and meta-analysis. Acad. Med. 88, 724–734. doi: 10.1097/ACM.0b013e31828b0823

Runco, M. A., and Albert, R. S. (1986). The threshold theory regarding creativity and intelligence: an empirical test with gifted and nongifted children. Creat. Child Adult Q. 11, 212–218.

Schermelleh-Engel, K., Moosbrugger, H., and Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research 8, 23–74.

Scott, S. G., and Bruce, R. A. (1994). Determinants of innovative behavior: a path model of individual innovation in the workplace. Acad. Manag. J. 37, 580–607.

Scott, G., Leritz, L. E., and Mumford, M. D. (2004). The effectiveness of creativity training: a quantitative review. Creat. Res. J. 16, 361–388. doi: 10.1080/10400410409534549

Scriven, M., and Paul, R. (1987). Defining Critical Thinking. In 8th Annual International Conference on Critical Thinking and Education Reform ; August 2–5, 1987.

Siburian, J., Corebima, A. D., Ibrohim,, and Saptasari, M. (2019). The correlation between critical and creative thinking skills on cognitive learning results. Eurasian J. Educ. Res. 19, 99–114. doi: 10.14689/EJER.2019.81.6

Sternberg, R. J., and Halpern, D. F. (eds.) (2020). Critical Thinking in Psychology. 2nd Edn . Cambridge: Cambridge University Press.

Sternberg, R. J., and Lubart, T. I. (1999). “The concept of creativity: prospects and paradigms” in Handbook of Creativity. ed. Sternberg, R. J. (New York, NY: Cambridge University Press), 3–15.

Sternberg, R. J., and Sternberg, K. (2017). Measuring scientific reasoning for graduate admissions in psychology and related disciplines. J. Intell. 5, 29. doi: 10.3390/jintelligence5030029

Stevens, C., and Witkow, M. R. (2014). Training scientific thinking skills: evidence from an MCAT 2015 aligned classroom module. Teach. Psychol. 41, 115–121. doi: 10.1177/0098628314530341

Stevens, C., Witkow, M. R., and Smelt, B. (2016). Strengthening scientific reasoning skills in introductory psychology: evidence from community college and liberal arts classrooms. Scholarsh. Teach. Learn. Psychol. 2, 245–260. doi: 10.1037/stl0000070

Tang, M., Werner, C., Cao, G., Tumasjan, A., Shen, J., Shi, J., et al. (2015). Creative expression and its evaluation on work-related verbal tasks: a comparison of Chinese and German samples. J. Creat. Behav. 52, 91–103. doi: 10.1002/jocb.134

Torrance, E. P. (1966). The Torrance Tests of Creative Thinking-Norms-Technical Manual Research Edition-Verbal Tests, Forms A and B Figural Tests, Forms A and B. Princeton, NJ: Personnel Press.

Torrance, E. P. (1974). Torrance Tests of Creativity Thinking: Norms–Technical Manual. Lexington, MA: Ginn.

Torrance, E. P. (1988). “The nature of creativity as manifest in its testing” in The Nature of Creativity. ed. Sternberg, R. J. (New York: Cambridge University Press), 43–73.

Tsui, L. (1998). Fostering Critical Thinking in College Students: A Mixed-Methods Study of Influences Inside and Outside of the Classroom (Doctoral dissertation). Available from ProQuest Dissertations and Theses database. (UMI No. 9917229)

Wallach, M. A., and Kogan, N. (1965). Modes of Thinking in Young Children: A Study of the Creativity-Intelligence Distinction. New York: Holt, Rinehart & Winston.

Watson, G. B., and Glaser, E. M. (1938). The Watson-Glaser Tests of Critical Thinking. New York, NY: Institute for Propaganda Analysis.

Watson, G. B., and Glaser, E. M. (1980). WGCTA Watson-Glaser Critical Thinking Appraisal Manual: Forms A and B. San Antonio: The Psychological Corporation.

Wechsler, S. M., Saiz, C., Rivas, S. F., Vendramini, C. M. M., Almeida, L. S., Mundim, M. C., et al. (2018). Creative and critical thinking: independent or overlapping components? Think. Skills Creat. 27, 114–122. doi: 10.1016/j.tsc.2017.12.003

Wong, R., and Niu, W. (2013). Cultural difference in stereotype perceptions and performances in nonverbal deductive reasoning and creativity. J. Creat. Behav. 47, 41–59. doi: 10.1002/jocb.22

Zydney, A. L., Bennett, J. S., Shahid, A., and Bauer, K. W. (2002). Faculty perspectives regarding the undergraduate research experience in science and engineering. J. Eng. Educ. 91, 291–297. doi: 10.1002/j.2168-9830.2002.tb00706.x

Keywords: creativity, critical thinking, cross-cultural differences, college, research experience

Citation: Park JH, Niu W, Cheng L and Allen H (2021) Fostering Creativity and Critical Thinking in College: A Cross-Cultural Investigation. Front. Psychol . 12:760351. doi: 10.3389/fpsyg.2021.760351

Received: 18 August 2021; Accepted: 11 October 2021; Published: 11 November 2021.

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Copyright © 2021 Park, Niu, Cheng and Allen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Li Cheng, [email protected]

† These authors have contributed equally to this work and share first authorship

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