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Conceptualizing non-cognitive attributes, entrepreneurship training, pedagogical competencies and stem education outcome: an integrated model and research proposition

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Abstract

Literature on STEM education outcome in the tertiary context has pursued the construct of non-cognitive attributes distinctly from that of entrepreneurship skills and pedagogical competencies, notwithstanding the inferred indications that the three can be adapted in an integrated model to enhance positive outcomes. This study established that there is a range of approaches seeking to optimize positive learning outcomes in tertiary level institutions. This paper argues that there is need to incorporate entrepreneurship and pedagogical skills training in the curriculum for STEM educators at the tertiary level institutions. The study has therefore proposed an integrated theoretical model which can be used to generate data sets to address identified gaps.

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References

  • Abe, J. A. A. (2005). The predictive value of the five-factor model of personality with preschool-age children: A nine-year follow-up study. Journal of Research in Personality, 39, 423–442

    Article  Google Scholar 

  • Archer, J., & MacRae, M. (1991). Gender perceptions of school subjects among 10–11-year-olds. British Journal of Educational Psychology, 61, 99–103. https://doi.org/10.1111/j.2044-8279.1991.tb00965.x

    Article  Google Scholar 

  • Austin, J., Stevenson, H., & Wei-Skillern, J. (2006). Social and commercial entrepreneurship: Same, different, or both? Entrepreneurship Theory and Practice, 30(1), 1–22

    Article  Google Scholar 

  • Bagiati, A., & Evangelou, D. (2015). Engineering curriculum in the preschool classroom: The teacher’s experience. European Early Childhood Education Research Journal, 23(1), 112–128

    Article  Google Scholar 

  • Banjoko, S. A., Iwuji, I. I., & Bagshaw, K. (2012). 2012): The performance of Nigerian manufacturing sector; A 52-year analysis of growth and retrogression (1960–2012). Journal of Asian Business and Strategy., 2(8), 177–191

    Google Scholar 

  • Barrett, L. (2014). What counts as (non) cognitive? A comment on Rowe and Healy. Behavioral Ecology, 25(6), 1293–1294

    Article  Google Scholar 

  • Benner, P. (2004). Using the dreyfus model of skill acquisition to describe and interpret skill acquisition and clinical judgment in nursing practice and education. Bulletin of Science, Technology & Society, 24(3), 188–199.

    Article  Google Scholar 

  • Block, Z., & Stumpf, S. A. (1992). Entrepreneurship education research. Boston, Pros-Kent Publishing.

    Google Scholar 

  • Bruce-Davis, M. N., Gubbins, E. J., Gilson, C. M., Villanueva, M., Foreman, J. L., & Rubenstein, L. D. (2014). STEM high school administrators’, teachers’, and students’ perceptions of curricular and instructional strategies and practices. Journal of Advanced Academics, 25(3), 272–306. https://doi.org/10.1177/1932202X14527952

    Article  Google Scholar 

  • Burnett, N., & Jayaram, S. (2012). Innovative secondary education for skills enhancement: skills for employability in Africa and Asia. Results for Development Institute.

    Google Scholar 

  • Burrus, J., MacCann, C., Kyllonen, P.C., & Roberts, R. D. (2011a). Noncognitive constructs in K–16: Assessments, interventions, educational and policy implications. Readings on equal education: diversity, merit, and higher education: Toward a comprehensive agenda for the twenty-first Century, New York.

  • Burrus, J., Naemi, B. D., & Kyllonen, P. C. (2011b). Intentional and Unintentional Faking in Education 1. Oxford Scholarship Online https://doi.org/10.1093/acprof:oso/9780195387476.003.0082

  • Carlson, J. F., Geisinger, K. F., & Jonson, J. L. (Eds.). (2014). The nineteenth mental measurements yearbook. Buros Center for Testing.

    Google Scholar 

  • Costa, P. T., Jr., & McCrae, R. R. (1995). Domains and facets: Hierarchical personality assessment using the revised NEO personality inventory. Journal of Personality Assessment, 64, 21–50

    Article  Google Scholar 

  • Cundiff, J. L., Vescio, T. K., Loken, E., & Lo, L. (2013). Do gender–science stereotypes predict science identification and science career aspirations among undergraduate science majors? Social Psychology of Education, 16, 541–554. https://doi.org/10.1007/s11218-013-9232-8

    Article  Google Scholar 

  • De Clercq, D., & Voronov, M. (2011). Sustainability in entrepreneurship: A tale of two logics. International Small Business Journal, 29, 322–344

    Article  Google Scholar 

  • DeCoito, I. (2016). STEM education in Canada: A knowledge synthesis. Canadian Journal of Science, Mathematics and Technology Education, 16(2), 114–128

    Article  Google Scholar 

  • Digman, J. M., & Inouye, J. (1986). Further specification of the five robust factors of personality. Journal of Personality and Social Psychology, 50(1), 116–123

    Article  Google Scholar 

  • Duckworth, A. L., & Yeager, D. S. (2015). Measurement matters: Assessing personal qualities other than cognitive ability for educational purposes. Educational Researcher, 44(4), 237–251. https://doi.org/10.3102/0013189X15584327

    Article  Google Scholar 

  • Durlak, J. A., Weissberg, R. P., Dymnicki, A. B., Taylor, R. D., & Schellinger, K. B. (2011). The impact of enhancing students’ social and emotional learning: A meta-analysis of school-based universal interventions. Child Development, 82, 405–432

    Article  Google Scholar 

  • Elias, M. J., Zins, J. E., Weissberg, R. P., Frey, K. S., Greenberg, M. T., Haynes, N. M., Kessler, R., Schwab-Stone, M. E., & Shriver, T. P. (1997). Promoting social and emotional learning: Guidelines for educators. Association for Supervision and Curriculum.

    Google Scholar 

  • Elliott, S. N., Kratochwill, T. R., Littlefield Cook, J., & Travers, J. (2000). Educational psychology: Effective teaching, effective learning. (3rd ed.). McGraw-Hill College.

    Google Scholar 

  • Erikson, E. H., Paul, I. H., Heider, F., & Gardner, R. W. (1959). Psychological issues. (Vol. 1)International Universities Press.

    Google Scholar 

  • Farrington, C. A., Roderick, M., Allensworth, E., Nagaoka, J., Keyes, T. S., Johnson, D. W., & Beechum, N. O. (2012). Teaching adolescents to become learners. The role of noncognitive factors in shaping school performance: A critical literature review. University of Chicago.

    Google Scholar 

  • Fisher, B. A., Dufault, C. L., Repice, M. D., & Frey, R. F. (2013). Fostering a growth mind-set: Integrating research on teaching and learning and the practice of teaching. To Improve the Academy: Resources for faculty, instructional, and organizational development, 32, 39–56

    Article  Google Scholar 

  • Greenberg, M. T., Weissberg, R. P., O'Brien, M. U., Zins, J. E., Fredericks, L., Resnik, H., & Elias, M. J. (2003). Enhancing school-based prevention and youth development through coordinated social, emotional, and academic learning. American Psychologist, 58(6–7), 466–474. https://doi.org/10.1037/0003-066X.58.6-7.466.

    Article  Google Scholar 

  • Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1319030111

    Article  Google Scholar 

  • García, E. (2014). The need to address non-cognitive skills in the education policy agenda (Briefing Paper No. 386). Washington, DC: Economic Policy Institute.

  • Gomez, A., & Albrecht, B. (2013). True STEM education. Technology and Engineering Teacher, 73(4), 8

    Google Scholar 

  • Greenberg, A. D., & Nilssen, A. H. (2015). The role of education in building soft skills: Putting into perspective the priorities and opportunities for teaching collaboration and other soft skills in education (White Paper). Wainhouse Research LLC.

    Google Scholar 

  • Haltiwanger, J., Jarmin, R., & Miranda, J. (2010). Who creates jobs? Small vs. large vs. young. London, National Bureau of Economic Research.

    Book  Google Scholar 

  • Heckman, J. J., & Kautz, T. (2012). Hard evidence on soft skills. Labour Economics, 19, 451–464

    Article  Google Scholar 

  • Heckman, J. J., & Kautz, T. (2014). Fostering and measuring skills: Interventions that improve character and cognition. In J. J. Heckman, J. E. Humphries, & T. Kautz (Eds.), The myth of achievement tests: The GED and the role of character in American life (pp. 341–430). Chicago, IL: University of Chicago Press.

    Google Scholar 

  • Henry, C., Hill, F. M., & Leitch, C. M. (2004). The effectiveness of training for new business creation. International Small Business Journal, 22(3), 249–271

    Article  Google Scholar 

  • Hooker, M. (2017). A Study on the Implementation of the Strengthening Innovation and Practice in Secondary Education Initiative for the preparation of Science, Technology, English and Mathematics (STEM) Teachers in Kenya to integrate Information and Communication Technology (ICT) in Teaching and Learning. Queen’s University Belfast.

  • Krieger, A., Block, J. & Stuetzer, M. (2018). Skill variety in entrepreneurship: A literature re-view and research directions. International Review of Entrepreneurship, 16(1), 29–62.

    Google Scholar 

  • Johnson, C. C., Peters-Burton, E. E., & Moore, T. J. (2015). STEM roadmap: A framework for integration. Taylor & Francis.

    Book  Google Scholar 

  • Judge, T. A., & Bono, J. E. (2001). Relationship of core self-evaluations traits—self-esteem, generalized self-efficacy, locus of control, and emotional stability—with job satisfaction and job performance: A meta-analysis. Journal of Applied Psychology, 86, 80–92

    Article  Google Scholar 

  • Kautz, T., Heckman, J. J., Diris, R., Ter Weel, B., & Borghans, L. (2014). Fostering and measuring skills: Improving cognitive and non-cognitive skills to promote lifetime success (No. w20749). Bonn, Germany: National Bureau of Economic Research.

  • Lesseig, K., Slavit, D., Nelson, T. H., & Seidel, R. A. (2016). Supporting middle school teachers’ implementation of STEM design challenges. School Science and Mathematics, 116(4), 177–188

    Article  Google Scholar 

  • Li, Y. (2014). International journal of STEM education—a platform to promote STEM education and research worldwide. International Journal of STEM Education, 1, 1. https://doi.org/10.1186/2196-7822-1-1

    Article  Google Scholar 

  • Makarova, E., Aeschlimann, B., & Herzog, W. (2019). The gender gap in STEM fields: The impact of the gender stereotype of math and science on secondary students career aspirations. Frontiers in Education. https://doi.org/10.3389/feduc.2019.00060

    Article  Google Scholar 

  • Margot, K. C., & Kettler, T. (2019). Teachers’ perception of STEM integration and education: A systematic literature review. International Journal of STEM Education, 6, 2. https://doi.org/10.1186/s40594-018-0151-2

    Article  Google Scholar 

  • McDougall, W. (1932). Of the words character and personality. Journal of Personality, 1, 3–16

    Article  Google Scholar 

  • McLeod, S. A. (2019). Constructivism as a theory for teaching and learning. Simply psychology: https://www.simplypsychology.org/constructivism.html.

  • McMullin, K., & Reeve, E. (2014). Identifying perceptions that contribute to the development of successful project lead the way pre-engineering programs in Utah. Journal of Technology Education, 26(1), 22–46. https://doi.org/10.21061/jte.v26i1.a.2

    Article  Google Scholar 

  • Minichiello, A., Hood, J. R., & Harkness, D. S. (2018). Bring user experience design to bear on STEM education: A narrative literature review. Journal for STEM Education Research, 1(1–2), 7–33

    Article  Google Scholar 

  • Mwasiaji, E. (2020). Conceptualizing entrepreneurship training, causes of retirement and psychosocial support for mental health of athletes transitioning from elite sport. International Journal of Latest Engineering and Management Research, 5(1), 42–51

    Google Scholar 

  • Nadelson, L. S., Callahan, J., Pyke, P., Hay, A., Dance, M., & Pfiester, J. (2013). Teacher STEM perception and preparation: inquiry-based STEM professional development for elementary teachers. The Journal of Educational Research, 106(2), 157–168

    Article  Google Scholar 

  • Ostler, E. (2012). 21st century STEM education: A tactical model for long-range success. International Journal of Applied Science and Technology, 2(1), 28–33

    Google Scholar 

  • Poropat, A. E. (2009). A meta-analysis of the five-factor model of personality and academic performance. Psychological Bulletin, 135, 322–338

    Article  Google Scholar 

  • Powell, J. E., & Zietsch, B. P. (2011). Predicting sensation seeking from dopamine genes: Use and misuse of genetic prediction. Psychological Science, 22(3), 413–415

    Article  Google Scholar 

  • Prince, M. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93, 223–232

    Article  Google Scholar 

  • Roberts, B. W., Walton, K. E., & Viechtbauer, W. (2006). Patterns of mean-level change in personality traits across the life course: A meta-analysis of longitudinal studies. Psychological Bulletin, 132, 1–25

    Article  Google Scholar 

  • Robbins, S. B., Lauver, K., Le, H., & Carlstrom, A. (2004). Do psychosocial and study skill factors predict college outcomes? A meta-analysis. Psychological Bulletin, 130(2), 261–288. https://doi.org/10.1037/0033-2909.130.2.261.

    Article  Google Scholar 

  • Sanders, M. E. (2012). Integrative stem education as “best practice.” Explorations of best practice in technology, design and engineering education, 2(1), 102–117

    Google Scholar 

  • Sinha, P., Akoorie, M. E. M., Ding, Q., & Wu, Q. (2011). What motivates manufacturing SMEs to outsource offshore in China?: Comparing the perspectives of SME manufacturers and their suppliers. Strategic Outsourcing: An International Journal, 4(1), 67–88

    Article  Google Scholar 

  • Sohoni, M. (2012). Engineering teaching and research in IITs and its impact on India. Current Science, 102(11), 1510–1515

    Google Scholar 

  • Sparkman, L., Maulding, W., & Roberts, J. (2012). Non-cognitive predictors of student success in college. College Student Journal, 46(3), 642–652

    Google Scholar 

  • Stankov, L., & Lee, J. (2014). Quest for the best non-cognitive predictor of academic achievement. Educational Psychology, 34(1), 1–8

    Article  Google Scholar 

  • The American Institute Report. (2015). Available online at https://www.aaionline.org/state-of-education-in-africa-report-2015-released/.

  • Tough, P. (2013). How children succeed: Grit, curiosity, and the hidden power of character. Houghton Mifflin Harcourt.

    Google Scholar 

  • Trapmann, S., Hell, B., Jan-Oliver W. Hirn., & Schuler, H. (2007). Meta-analysis of the relationship between the big five and academic success at university. Zeitschrift für Psychologie, 215(2), 132–151. https://doi.org/10.1027/0044-3409.215.2.132.

    Article  Google Scholar 

  • VanTassel-Baska, J., & Little, C. A. (Eds.). (2011). Content-based curriculum for high-ability learners. (2nd ed.). Prufrock Press.

    Google Scholar 

  • Voogt, J., & Roblin, N. P. (2012). A comparative analysis of international frameworks for 21st century competences: Implications for national curriculum policies. Journal of Curriculum Studies, 44(3), 299–321

    Article  Google Scholar 

  • Wan Husin, W. W., Mohamad Arsad, N., Othman, O., Halim, L., Rasul, M. S., Osman, K., & Iksan, Z. (2016). Fostering students’ 21st century skills through project oriented problem based learning (POPBL) in integrated STEM education program. Asia-Pacific Forum on Science Learning & Teaching, 17(1), 60–77.

    Google Scholar 

  • Williams, D. (2011). STEM education: proceed with caution. Design and Technology Education: An International Journal, 16.1. Available at https://files.eric.ed.gov/fulltext/EJ916494.pdf.

  • Wu, S. P. W., & Rau, M. A. (2019). How students learn content in science, technology, engineering, and mathematics (STEM) through drawing activities. Educational Psychology Review. https://doi.org/10.1007/s10648-019-09467-3

    Article  Google Scholar 

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Acknowledgement

We would like to acknowledge the support by the Kenyatta University management in availing a postmodern library for review of literature relevant to this study and facilitating the authors to attend learned conferences that were useful in enriching this paper. To all those who contributed in one way or another in actualizing this paper, and whom we may not individually mention by name, we highly appreciate your contributions. We take responsibility of any error(s) and/or omission(s) in the study findings, discussion, conclusions and propositions contained in this paper.

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Correspondence to Evans Mwasiaji.

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Mwasiaji, E., Mambo, S., Mse, G.S. et al. Conceptualizing non-cognitive attributes, entrepreneurship training, pedagogical competencies and stem education outcome: an integrated model and research proposition. Int J Technol Des Educ 32, 1925–1939 (2022). https://doi.org/10.1007/s10798-021-09671-9

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