Trends of Stem and Connection of Cognitives for Career Interest
DOI:
https://doi.org/10.37134/esss.vol4.2.3.2023Keywords:
Trends, Connection, STEM Education, Career Interest, CognitivesAbstract
The Malaysian government must prioritise STEM education in schools, especially given recent statistics indicating a very low percentage of student involvement in the STEM field. STEM education is critical to a country's progress and development, so the Malaysia Education Blueprint (2013-2025) was launched to ensure that the country has skilled labour resources in the fields of science, technology, technical, and vocational education. The purpose of this study is to delve into the complicated role of the cognitive factor in STEM education, shedding light on its importance in learning and information processing, as well as its impact on students' academic performance. Despite extensive research into cognitive factors in STEM education, there is still a significant gap in understanding how cognition specifically shapes students' interest in STEM fields and careers, particularly in the Malaysian context. The present research seeks to fill this gap by delving into the nuanced relationship between cognition and STEM interest, presenting a cognitive conceptual framework emphasising the multifaceted nature of cognitive processes influencing STEM career interest. This research will benefit researchers studying STEM education trends and their relationship with cognitive abilities, as well as government agencies involved in STEM empowerment in schools.
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Academy of Science Malaysia. (2017). Science Outlook Report. Conveging Towards Progressive Malaysia 2050. Research and Policy Recommendations Documents. Retrieved by 14 September 2022 at https://www.akademisains.gov.my/asm-publication/science-outlook-report-2017/
Amelia, A., & Lilia, H. (2019). The Challenge of Integrating STEM Education in the Malaysian Curriculum. Education Discourse Seminar, 2019.
Anugrah, R. F., & Galih, D. S. (2019). Effect of STEM-based learning on the Cognitive Skills improvement. Mimbar Sekolah Dasar, 6(2), 198-207. DOI: 10.17509/mimbar-sd.v6i2.17562.
Berkowitz, M., & Stern, E. (2018). Which cognitive abilities make the difference? Predicting academic achievements in advanced STEM studies. Journal of Intelligence, 6(48), 1-24. doi:10.3390/jintelligence6040048.
Black, S. E., Muller, C., Spitz-Oener, A., He, Z., Hung, K., & Warren, J., R. (2021). The importance of STEM: High school knowledge, skills and occupations in an era of growing inequality, Research Policy, 50 (7), ISSN 0048-7333.
Breiner, J. M., Harkness, S. S., Johnson, C. C., & Koehler, C. M. (2012). What is STEM? A discussion about conceptions of STEM in education and partnerships. School Science and Mathematics, 112(1), 3–11.
Bryan, L. A., Moore, T. J., Johnson, C. C., & Roehrig, G. H. (2015). Integrated STEM education. In C. C. Johnson, E. E. Peters-Burton, & T. J. Moore (Eds.), STEM roadmap: A framework for integration. London: Taylor & Francis.
Butler, T., & Scurlock-Evans, L. (2013). Personality and Individual Differences. United Kingdom: Pearson Education Limited.
Chachasvili-Bolotin, S., Milner-Bolotin, M., & Lissitsa, S. (2016). Examination of factors predicting secondary student interest in tertiary STEM education. International Journal Science Education, 38(3), 366-390. DOI: 10.1080/09500693.2016.1143137.
Chang, B., Chen, S. Y., & Jhan, S. N. (2015). The Influences of an interactive group-based videogame: Cognitive styles vs. prior ability. Computers & Education, 88, 399-407.
Chen, Y. T., Liou, S., & Chen, L. F. (2019). 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.
Donmez, I. (2021). Impact of out-of-schoo STEM activities on STEM career choices of female student. Eurosian Journal of Educational Research, 91, 173-204.
Dunn, R. S., & Dunn, K. J. (1994). Teaching young children through their individual learning styles. Boston, MA: Allyn and Bacon.
Edy Hafizan, M. S., Lilia, H., Mohamad Satar, R., Kamisah, O., & Mohd Afendi, Z. (2016). STEM learning through engineering design: impact on middle secondary student interest towards STEM. EURASIA Journal of Mathematics Science and Technology Education, 13(15), 1189-1211. DOI 10.12973/eurasia.2017.00667a.
Ford, N., & Chen, S. Y. (2001). Matching/Mismatching revisited: An Empirical study of learning and teaching styles. British Journal of Educational Technology, 32(1), 5-22.
Gilhooly, K. J., Lyddy, F., & Pollick, F. (2014). Cognitive Psychology. London: McGraw Hill Education.
Hsieh, S. W., Jang, Y. R., Hwang, G. J., & Chen, N. S. (2011). Effects of teaching and learning styles on students’ reflection levels for ubiquitous learning. Computers & Education, 57(1), 1194-1201.
Huang, Y. M., & Chiu, P. S. (2015). The Effectiveness of the meaningful learning-based evaluation for different achieving students in a ubiquitous learning context. Computers & Education, 87, 243-253.
Hu, D. L., Lefton, L., & Ludovice, P. J. (2016). Humour Applied to STEM Education. System Research and Behavioral Science. Wiley Online Library. DOI: 10.1002/sres.2406.
Li, X., & Wang, W. (2020). Exploring spatial cognitive process among STEM student and its role in STEM education. A cognitive Neuroscience Perspective. Science & Education, 30, 121-145. https://doi.org/10.1007/s11191-020-00167-x.
Mefoh, P. C., Nwoke, M. B., Chukwuorji, J. C., & Chijioke, A. O. (2017). Effect of cognitive style and gender on adolescents’ problem solving ability. Thinking Skills and Creativity, 25, 47–52.
Messick, S. (1984). The Nature of cognitive styles: Problems and promises in educational research. Educational Psychologist, 19(2), 59-74.
Ministry of Education. (2016). Guide to the Implementation of Science, Technology, Engineering and Mathematics (STEM) in teaching and learning. Curriculum Development Division Putrajaya. ISBN: 976-967-420-093-0.
Ministry of Science, Technology and Innovation. (2022). List of Malaysian Government Policies and Policies. Accessed through the website on October 14, 2022 at https://mastic.mosti.gov.my/sti/sti-policies/national-science-technology-and-innovation-policy.
Riegler, R. B & Riegler. R. G. (2012). Cognitive Psychology. Applying the Science Of The Mind. London: Allyn & Bacon.
Setiwan, A., Wawan, Koderi & Pratiwi, W. (2020). Game based learning in mathematics: future teachers’ viewpoint. Journal for the Mathematics Education and Teaching Practices, 1(2), 87-93.
Syukri, M., & Ernawati. (2020). Increasing students' interest in learning through a PBL model based on the STEM approach in learning physics. Jurnal Pencerahan, 14, 2. ISSN: 1693-7775.
Tee, Y. A., & Mohd. Izwan, M. (2020). The Alignment between Career Interests and STEM Careers of Secondary School Students. International Journal of Arts and Social Science. 3, 5, ISSN: 2581-7922.
Tekbiyik, A., Bulut, D. B., & Sandalci, Y. (2022). Effects of a summer robotics camp on student STEM career interest and knowledge structure. Journal of Pedagogical Research, 6(2), 91-109. https://dx.doi.org/10.33902/JPR.202212606
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.
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