The purpose of this article is to discuss the importance of cognitive field independence and field dependency in STEM (Science, Technology, Engineering, and Mathematics) education. It discusses the critical topic of cognitive types and their impact on STEM learning and problem-solving. This study intends to illuminate how educators might harness these cognitive features to empower students in their STEM learning journeys by investigating the characteristics and benefits of field independence and reliance. The study focuses on the success of field-independent learners in analytical and abstract thinking, as opposed to field-dependent learners' ability for holistic and context-based comprehension. It also looks into methodologies and pedagogical approaches for accommodating diverse cognitive styles in order to create inclusive and engaging learning environments. Recognizing and cultivating the qualities of field independence and dependency can help educators unlock students' full potential and foster a diverse range of problem-solving skills in the STEM industry. Finally, this paper emphasizes the necessity of recognizing cognitive variety and harnessing it as a significant tool for increasing creativity and achievement in STEM education.
Butler, A. C., Marsh, E. J., Slavinsky, J. P., & Baraniuk, R. G. (2014). Integrating cognitive science and technology improves learning in a STEM classroom. Educational Psychology Review, 26(2), 331–340. https://doi.org/10.1007/s10648-014-9256-4
Chen, X., Zhao, S., & Li, W. (2019a). Opinion dynamics model based on cognitive styles: Field-dependence and field-independence. Complexity, 1–13.
https://doi.org/10.1155/2019/2864124.
Chen, Y. T., Liou, S., & Chen, L. F. (2019b). The relationships among gender, cognitive styles, learning strategies, and learning performance in the flipped classroom. International Journal of Human–Computer Interaction, 35(4–5), 395–403.
https://doi.org/10.1080/10447318.2018.1543082.
De Loof, H., Boeve-de, J. P., & Van Petegem, P. (2022). Integrated STEM education: The effects of a long-term intervention on students cognitive performance. European Journal of STEM Education, 7(1), 13. https://doi.org/10.20897/ejsteme/12738.
Demick, J. (2014). Group Embedded Figures Test (GEFT) manual (Rev. ed). Mind Garden.
Di Vesta, F. J. (1987). The cognitive movement and education. In: Glover, J.A., Ronning, R.R. (eds) Historical foundations of educational psychology. Perspectives on individual differences. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-3620-2_11
Dutta, A., Kang, H.-J., Kaya, C., Benton, S. F., Sharp, S. E., Chan, F., Da Silva Cardoso, E., & Kundu, M. (2015). Social-cognitive career theory predictors of STEM career interests and goal persistence in minority college students with disabilities: A path analysis. Journal of Vocational Rehabilitation, 43(2), 159–167. https://doi.org/10.3233/jvr-150765.
Evans, C., Richardson, J. T., & Waring, M. (2013). Field independence: Reviewing the evidence. The British journal of educational psychology, 83(2), 210-24. https://doi.org/10.1111/bjep.12015.
Firdaus, A. R., & Rahayu, G. D. S. (2019). Effect of STEM-based Learning on the cognitive skills improvement. Mimbar Sekolah Dasar, 6(2), 198. https://doi.org/10.17509/mimbar-sd.v6i2.17562.
Ho, S. C., Hsieh, S. W., Sun, P. C., & Chen, C. M. (2017). To activate English learning: Listen and speak in real life context with an AR featured u-learning system. Journal of Educational Technology & Society, 20(2), 176–187.
Idris, R., & Bacotang, J. (2023). Exploring STEM education trends in Malaysia: Building a talent pool for Industrial revolution 4.0 and society 5.0. International Journal of Academic Research in Progressive Education and Development, 12(2), 381–393. http://dx.doi.org/10.6007/IJARPED/v12-i2/16825.
Idris, R., Govindasamy, P., & Nachiappan, S. (2023a). Challenge and obstacles of STEM education in Malaysia. International Journal of Academic Research in Business and Social Sciences, 13(4), 820 – 828. http://dx.doi.org/10.6007/IJARBSS/v13-i4/16676.
Idris, R., Govindasamy, P., Nachiappan, S., & Bacotang, J. (2023b). Beyond grades: Investigating the influence of personality on STEM pathways in Malaysia. International Journal of Academic Research in Business and Social Sciences, 13(5), 2749 – 2761. http://dx.doi.org/10.6007/IJARBSS/v13-i5/17136.
Idris, R., Govindasamy, P., Nachiappan, S., & Bacotang, J. (2023c). Exploring the impact of cognitive factors on learning, motivation, and career in Malaysia’s STEM education. International Journal of Academic Research in Business and Social Sciences, 13(6),1669-1684. http://dx.doi.org/10.6007/IJARBSS/v13-i5/17136.
Idris, R., Govindasamy, P., & Nachiappan, S. (2023d). Trends and considerations of self-efficacy of STEM education in Malaysia. International Journal of Advanced Research in Education and Society, 5(1), 208 – 215. https://doi.org/10.55057/ijares.2023.5.1.19.
Idris, R., Govindasamy, P., Nachiappan, S., & Bacotang, J. (2023e). Revolutionizing STEM education: Unleashing the potential of STEM interest career in Malaysia. International Journal of Academic Research in Business and Social Sciences, 13(7), 1741-1752. http://dx.doi.org/10.6007/IJARPED/v12-i2/17609.
Idris, R., Govindasamy, P., Nachiappan, S., & Bacotang, J. (2023f). Examining moderator factors influencing students’ interest in STEM careers: The role of demographic, family and gender. International Journal of Academic Research in Progressive Education and Development, 12(2), 2298-2312. http://dx.doi.org/10.6007/IJARPED/v12-i2/17609.
Lin, P. C., Lu, H. K., & Lin, Y. C. (2018). A study of knowledge dimension and cognitive process pattern of cognitive style differences in stem cooperative learning environment. International Journal of Information and Education Technology, 8(10), 720-724. http://dx.doi.org/10.18178/ijiet.
Lwande, C., Muchemi, L., & Oboko, R. (2021). Identifying learning styles and cognitive traits in a learning management system. Heliyon, 7(8), 1-9.
https://doi.org/10.1016/j.heliyon.2021.e07701.
Lu, H. K., & Lin, P. C. (2018). A study on the effect of cognitive style in the field of STEM on collaborative learning outcome. Internasional Journal of Information and Education Technology, 8(3), 194-198. http://doi.org/10.18178/ijiet.2018.8.3.1032.
Minshew, L. M., Olsen, A. A., & McLaughlin, J. E. (2021). Cognitive apprenticeship in STEM graduate education: A qualitative review of the literature. AERA Open, 7(1), 1-16. https://doi.org/10.1177/23328584211052044.
National Academy of Engineering and National Research Council. (2014). STEM Integration in K-12 Education: Status, Prospects, and an Agenda for Research. Washington, DC: The National Academies Press. https://doi.org/10.17226/18612.
Peng, C. L., Hsin, K. L., & Yin, C. L. (2018). A study of knowledge dimension and cognitive process pattern of cognitive style differences in STEM cooperative learning environment. International Journal of Information and Education Technology, 8(10), 720-724. http://doi.org/10.18178/ijiet.2018.8.10.1128.
Qureshi, A., & Qureshi, N. (2021). Challenges and issues of STEM education. Advances in Mobile Learning Educational Research, 1(2), 146–161.
https://doi.org/10.25082/amler.2021.02.009.
Rezayat, F., & Sheu, M. (2020). Attitude and readiness for stem education and careers: A comparison between American and Chinese students, International Journal of Educational Management, 34(1), 111-126. https://doi.org/10.1108/IJEM-07-2018-0200.
Rezeki, R., Sitompul, H., & Situmorang, J. (2020). The effect of learning strategies and cognitive styles on learning outcomes of mathematics after controlling intelligence. Budapest International Research and Critics in Linguistics and Education (BirLE) Journal 3(2), 1151–1163.
Riding, R., & Rayner, S. (1998). Cognitive styles and learning strategies: Understanding style differences in learning and behavior (1st ed.). David Fulton Publishers. https://doi.org/10.4324/9781315068015.
Rivera, H., & Li, J.-T. (2020). Potential factors to enhance students’ STEM college learning and career orientation. Frontiers in Education, 5.
https://doi.org/10.3389/feduc.2020.00025.
Ros, S., Tobarra, L., Robles-Gomez, A., Caminero, A. C., Hernandez, R., Pastor, R., … Cano, J. (2016). Work in progress: On the improvement of STEM education from preschool to elementary school. IEEE Global Engineering Education Conference (EDUCON). https://doi.org/10.1109/educon.2016.7474671.
Sadler-Smith, E., & Riding, R. (1999). Cognitive style and instructional preferences. Instructional Science, 27(5), 355–371. https://doi.org/10.1007/bf00892031.
Sahin, A., Ekmekci, A., & Waxman, H. C. (2017). Collective effects of individual, behavioral, and contextual factors on high school students future STEM career plans. International Journal of Science and Mathematics Education, 16(S1), 69–89.
https://doi.org/10.1007/s10763-017-9847-x.
Shifrer, D., & Freeman, D. M. (2021). Problematizing perceptions of STEM potential: Differences by cognitive disability status in high school and postsecondary educational outcomes. Socius: Sociological Research for a Dynamic World, 7. https://doi.org/10.1177/2378023121998116.
Sozcu, O. F. (2014). The relationship between cognitive style of field dependence and learner variable in e-learning instruction. Turkish Online Journal of Distance Education-TOJDE, 15, 2-10. https://doi.org/10.17718/tojde.11039.
Sujito, S., Budiharso, T., Solikhah, I., & Mutaqin, W. (2019). The effect of analogy variations on academic writing: How Indonesian EFL students perform with different cognitive styles. Journal of Social Studies Education Research, 10(1), 116-132.
https://jsser.org/index.php/jsser/article/view/506/356.
Tascon, L., Boccia, M., Piccardi, L., & Cimadevilla, J. M. (2017). Differences in spatial memory recognition due to cognitive style. Frontiers in Pharmacology, 8, 550. https://doi.org/10.3389%2Ffphar.2017.00550.
Wang, M.-T., Ye, F., & Degol, J. L. (2016). Who chooses STEM careers? Using a relative cognitive strength and interest model to predict careers in science, technology, engineering, and mathematics. Journal of Youth and Adolescence, 46(8), 1805–1820. https://doi.org/10.1007/s10964-016-0618-8.
Weisberg, S. M., & Newcombe, N. S. (2017). Embodied cognition and STEM learning: Overview of a topical collection in CR:PI. Cognitive Research: Principles and Implications, 2(1). https://doi.org/10.1186/s41235-017-0071-6.
Witkin, H. A., Moore, C. A., Goodenough, D. R., & Cox, P. W. (1977). Field-dependent and field-independent cognitive styles and their educational implications. Review of Educational Research, 47, 1 - 64. https://doi.org/10.3102/00346543047001001.
Zeng, Z., Yao, J., Gu, H., & Przybylski, R. (2018). A meta-analysis on the effects of STEM education on students abilities. Science Insights Education Frontiers, 1(1), 3–16. https://doi.org/10.15354/sief.18.re005.
