Initial training as predictor of students’ motivation and practical skill engagement: mediating impact of learning self-efficacy

References

• Ansah, S. K., & Ernest, K. (2013). Technical and vocational education and training in Ghana: A tool for skill acquisition and industrial development. Journal of Education and Practice, 4(16), 172–180.
   Google Scholar
• Bandura, A. (1986). The explanatory and predictive scope of self-efficacy theory. Journal of Clinical and Social Psychology, 4(3), 359–373. https://doi.org/10.1521/jscp.1986.4.3.359
   Web of Science ®Google Scholar
• Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality & Social Psychology, 51(6), 1173. https://doi.org/10.1037/0022-3514.51.6.1173
   PubMed Web of Science ®Google Scholar
• Blackwell, L. S., Trzesniewski, K. H., & Dweck, C. S. (2007). Implicit theories of intelligence predict achievement across an adolescent transition: A longitudinal study and an intervention. Child Development, 78(1), 246–263. https://doi.org/10.1111/j.1467-8624.2007.00995.x
   PubMed Web of Science ®Google Scholar
• Breusch, T. S., & Pagan, A. R. (1979). A simple test for heteroscedasticity and random coefficient variation. Econometrica, 47(5), 1287–1294. https://doi.org/10.2307/1911963
   Web of Science ®Google Scholar
• CEDEFOP. (2014). Terminology of European education and training policy: A selection of 130 key terms. Cedefop.
   Google Scholar
• Christenson, S. L., Reschly, A. L., & Wylie, C. (2012). Handbook of research on student engagement. Springer. https://www.researchgate.net/publication/31077313
   Google Scholar
• Chukwuedo, S. O. (2011). Students’ perception of the influence of students’ industrial work experience scheme on academic achievement in university of Benin. Journal of Education, Health, and Technology Research, 1(1), 80–86. https://www.academia.edu/download/34935295
   Google Scholar
• Chukwuedo, S. O., & Ementa, C. N. (2022). Students’ work placement learning and employability nexus: Reflections from experiential learning and social cognitive theories. Industry and Higher EAducation, 36(6), 742–755. https://doi.org/10.1177/09504222221099198
   Google Scholar
• Crawford, I., & Wang, Z. (2015). The effect of work placement on the academic performance of Chinese students in UK higher education. Teaching in Higher Education, 20(6), 569–586. https://doi.org/10.1080/13562517.2015.1045860
   Web of Science ®Google Scholar
• Dornyei, Z. (2001). Teaching and researching motivation. Longman. https://doi.org/10.4324/9781315833750
   Google Scholar
• Dunn, T. J., & Kennedy, M. (2019). Technology enhanced learning in higher education; motivations, engagement and academic achievement. Computers & Education, 137, 104–113. https://doi.org/10.1016/j.compedu.2019.04.004
   Web of Science ®Google Scholar
• Ekong, U. M., & Ekong, C. U. (2016). Skills acquisition and unemployment reduction in Nigeria: A case study of national directorate of employment in Akwa-Ibom state. International Journal of Economics & Management Science, 5(4), 1–10. https://doi.org/10.4172/2162-6359.1000352
   Google Scholar
• Ekpenyong, L. E. (2011). Foundation of technical vocational education: Evolution and practice for Nigerian students in TVE and adult education, policy makers and practitioners. Ambikpress. https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Foundation+of+technical+vocational+education%3A+evolution+and+practice+for+Nigerian+students+in+TVE+and+adult+education
   Google Scholar
• Federal Republic of Nigeria (FRN). (2013). National policy on education. NERDC.
   Google Scholar
• Federal Republic of Nigeria (FRN). (2014). National policy on education. NERDC.
   Google Scholar
• Gillet, N., Vallerand, R. J., Amour, C., & Baldes, B. (2010). Influence of coaches’ autonomy support on athletes’ motivation and sports performance. A test of hierarchical model of intrinsic and extrinsic motivation. Psychology of Sports and Exercise, 11(2), 155–161. https://doi.org/10.1016/j.psychsport.2009.10.004
   Web of Science ®Google Scholar
• Hamid, T., & Mohammad, M. J. (2012). The effects of innovation in education. Procedia, 31, 820–824. https://doi.org/10.1016/j.sbspro.2011.12.148
   Google Scholar
• Handelsman, M. M., Briggs, W. L., Sullivan, N., & Towler, A. (2005). A measure of college student course engagement. Journal of Education Research, 98(3), 184–192. https://doi.org/10.3200/JOER.98.3.184-192
   Web of Science ®Google Scholar
• Hayat, M., Hasan, R., Ali, S. I., & Kaleem, M. (2017). Active learning and student engagement using activity-based learning. 2017 International Conference on Infocom Technologies and Unmanned Systems (ICTUS’2017), ADET, Amity University Dubai, UAE (pp. 201–204). IEEE. https://doi.org/10.1109/ICTUS.2017.8286005
   Google Scholar
• Hayes, A. F. (2013). Introduction to mediator, moderation, and conditional process analysis: A regression-based analysis. A regression-based approach. Guilford Publications, inc.
   Google Scholar
• Hoidn, S., & Stastyn, V. (2021). Labour market success of initial vocational education and training graduates: A comparative study of three education systems in Central Europe. Journal of Vocational Education & Training, 75(4), 629–653. https://doi.org/10.1080/13636820.2021.1931946
   Web of Science ®Google Scholar
• Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modelling; A Multidisciplinary, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
   Google Scholar
• Inayat, A., & Ali, A. Z. (2020). Influence of teaching style on students’ engagement, curiosity and exploration in the classroom. Journal of Education and Educational Development, 7(1), 87–102. https://doi.org/10.22555/joeed.v7i1.2736
   Google Scholar
• Industrial Training Fund. (2013). Information and guidelines for student’s industrial work experience scheme for developing the nation’s human resources.
   Google Scholar
• Ismail, H. E. (2014). Interaction between academic motivation and student teachers academic achievement. Procedia, 152, 173–178. https://doi.org/10.1016/j.sbspro.2014.09.176
   Google Scholar
• Kahu, E. R. (2013). Framing student engagement in higher education. Studies in Higher Education, 38(5), 758–773. https://doi.org/10.1080/03075079.2011.598505
   Web of Science ®Google Scholar
• Krause, K. L., & Coates, H. (2008). Students’ engagement in first-year university. Assessment & Evaluation in Higher Education, 33(5), 493–505. https://doi.org/10.1080/02602930701698892
   Web of Science ®Google Scholar
• Kuh, G. (2003). The national survey of student engagement: Conceptual framework and overview of psychometric properties. Center for Postsecondary Research. www.indiana.edu/-nsse
   Google Scholar
• LaForce, M., Noble, E., & Blackwell, C. (2017). Problem-based learning (PBL) and student interest in STEM careers: The roll of motivation and ability beliefs. Education Sciences, 7(4), 92. https://doi.org/10.3390/educsci7040092
   Google Scholar
• Leedy, P. D., & Ormrod, J. E. (2010). Practical research: Planning and design (9th ed.). Pearson Educational International.
   Google Scholar
• Lent, R. W., Brown, S. D., & Hackett, G. (1994). Monograph: Towards a unifying social cognitive theory of career and academic interest, choice and performance. Journal of Vocational Behaviour, 45(1), 79–122. https://doi.org/10.1006/jvbe.1994.1027
   Web of Science ®Google Scholar
• Lim, G. S., & Chan, A. (2003). Individual and situational correlates of motivation for skills upgrading: An empirical study. Human Resource Development International, 6(2), 219–242. https://doi.org/10.1080/13678860110096239
   Google Scholar
• Maimoona, A., & Fauzia, K. (2013). Motivational techniques and learners academic achievement at primary level. Global Journal of Human Social Science, 13, 14–24. http://globaljournals.org/GJHSS_volume13/2
   Google Scholar
• Mwangi, J. M. (2018). Ability beliefs, achievement goals, and fear of negative evaluation as predictors of academic achievement among form three students in Mombasa County, Kenya [ Ph.D. Thesis]. Kenyatta University.
   Google Scholar
• Nghia, T. L. H., & Duyen, T. M. (2019). Developing and validating a scale for evaluating internship-related learning outcomes. Higher Education, 77(1), 1–18. https://doi.org/10.1007/s10734-018-0251-4
   Web of Science ®Google Scholar
• Ogbu, J. E. (2015). Influence of inadequate instructional materials and facilities in teaching and learning of electrical/electronic technology education courses. Journal of Education and Practice, 7, 20–27. https://eric.ed.gov/?id=EJ1083540
   Google Scholar
• Ogbuanya, T. C., & Afeez, S. Y. (2019). Influence of emotional intelligence ability level of electrical electronic technology university students on academic motivation and attitude to study. International Journal of Electrical Engineering, 59(3), 191–231. https://doi.org/10.1177/0020720919840984
   Google Scholar
• Ogbuanya, T. C., & Chukwuedo, S. O. (2017). Career-training mentorship intervention via the dreyfus model: Implication for career behaviors and practical skills acquisition in vocational electronic technology. Journal of Vocational Behavior, 103(Part B), 88–105. https://doi.org/10.1016/j.jvb.2017.09.002
   Google Scholar
• Okolie, U. C. (2022). Work placement learning and students’ readiness for school-to-work transition: Do perceived employability and faculty supervisor support matter? Journal of Vocational Behaviour, 139(3), 103805. https://doi.org/10.1016/j.jvb.2022.103805
   Google Scholar
• Okolie, U. C., Mlanga, S., Nwosu, H. E., Mezieobi, K., Olorie, C. O., & Abonyi, S. O. (2022). Work placement supervisor support and students’ proactive career behaviours: The moderating role of proactivity. Journal of Career Development, 50(1), 1–17. https://doi.org/10.1177/08948453211073913
   Google Scholar
• Okolie, U. C., Nwali, A. C., Ogbaekirigwe, C. O., Ezemoyi, C. M., & Achilike, B. A. (2021). A closer look at how work placement learning influences student engagement in practical skills acquisition. Higher Education Research & Development, 41(7), 2279–2291. https://doi.org/10.1080/07294360.2021.1996338
   Google Scholar
• Orji, C. T., & Ogbuanya, T. C. (2020). Mediating roles of ability beliefs and intrinsic motivation in PBL and engagement in practical skills relations among electrical/electronic education undergraduate. Innovations in Education and Teaching International, 59(3), 326–336. https://doi.org/10.1080/14703297.2020.1813188
   Web of Science ®Google Scholar
• Paul, J. L. (2008). Encyclopedia of survey research methods. SAGE Publications, Inc.
   Google Scholar
• Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
   PubMed Web of Science ®Google Scholar
• Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. The American Psychologist, 55(1), 68–78. https://doi.org/10.1037/0003-066x.55.1.68
   PubMed Web of Science ®Google Scholar
• Schreiber, J. B. (2008). Core reporting practices in structural equation modelling. Research in Social & Administrative Pharmacy, 4(2), 83–97. https://doi.org/10.1016/j.sapharm.2007.04.003
   PubMed Web of Science ®Google Scholar
• Sheldrake, R., Mujtaba, T., & Reiss, M. J. (2015). Students’ intentions to study non-compulsory mathematics: The importance of how good you think you are. British Educational Research Journal, 41(3), 462–488. https://doi.org/10.1002/berj.3150
   Web of Science ®Google Scholar
• Tengku, S. T., & Sepideh, M. J. (2012). Motivation, its types and its impacts on language learning. International Journal of Business Social Sciences, 2012(3), 230–235.
   Google Scholar
• TESDA. (2022). TVET glossary of terms. Tesda.
   Google Scholar
• UNESCO-UNEVOC. (2009). UNESCO-UNEVOC/NCVER, TVET glossary: Some key terms. UNESCO-UNEVOC. Unevoc.unesco.org/home.
   Google Scholar
• Vallerand, R. J., Pelletier, L. G., Blais, M. R., Briere, N. M., Senecal, C., & Vallieres, E. F. (1992). The academic motivation scale: A measure of intrinsic and amotivation in education. Educational and Psychological Measurement, 52(4), 1003–1017. https://doi.org/10.1177/0013164492052004025
   Web of Science ®Google Scholar
• Victor, J. (2006). The sage dictionary of social research methods. SAGE Publications Ltd.
   Google Scholar
• Wurf, G., & Croft-Piggin, L. (2015). Predicting the academic achievement of first-year pre-service teachers: The role of engagement, motivation, ATAR, and emotional intelligence. Asia-Pacific Journal of Teacher Education, 43(1), 75–91. https://doi.org/10.1080/1359866x.2014.932328
   Web of Science ®Google Scholar