Methods for activating professional self-determination of a person at the stage of pre-professional development: the experience of foreign countries

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Abstract

The article presents an overview of modern international studies of the problem of activation of professional self-determination of high school students. The results of the study conducted by Chinese scientists aimed at studying cognitive and affective self-esteem and their role in building the educational and professional path of high school students are presented. The effectiveness of applying relevant interventions in the classroom to enhance the professional interest of high school students in STEM professions, a model that combines natural sciences and engineering subjects into a single system, is analyzed in comparison to the study conducted in Germany. Mentoring is considered as a mechanism for professional self-determination in high school, contributing, in the opinion of Swedish scientists, to solving the problem of a shortage of specialists in the labor market. The article gives a comparative analysis of the systems of academic training and initial vocational education, which provides graduates with a smooth transition to the modern labor market. The experience of Denmark is analyzed, which is an institutional context for the study of inequality associated with vocational education.

General Information

Keywords: professional self-determination, professional choice, pre-professional development, activation of professional self-determination, cognitive and affective self-esteem, relevant interventions, mentoring, vocational education

Journal rubric: Educational Psychology and Pedagogical Psychology

DOI: https://doi.org/10.17759/jmfp.2022110306

For citation: Egorenko T.A. Methods for activating professional self-determination of a person at the stage of pre-professional development: the experience of foreign countries [Elektronnyi resurs]. Sovremennaia zarubezhnaia psikhologiia = Journal of Modern Foreign Psychology, 2022. Vol. 11, no. 3, pp. 61–70. DOI: 10.17759/jmfp.2022110306. (In Russ., аbstr. in Engl.)

References

  1. Andersen S. C., Hjortskov M. The unnoticed influence of peers on educational preferences. Behavioural Public Policy, 2019. Vol. 6, no. 4, pp. 1—24. DOI:10.1017/bpp.2019.14
  2. Arum R., Shavit Y. Secondary vocational education and the transition from school to work. Sociul Education, 1995. Vol. 68, no. 3, pp. 187—204. DOI:10.2307/2112684
  3. Bertrand M., Mogstad M., Mountjoy J. Improving educational pathways to social mobility: evidence from Norway’s «reform 94». Journal of Labor Economics, 2021. Vol. 39, no. 4, article ID 713009. DOI:10.1086/713009
  4. Beverley J., Keneley M. Influences on the supply of accounting graduates in Australia: A focus on international students. Accounting & Finance, 2009. Vol. 49, no. 1, pp. 141—159. DOI:10.1111/j.1467-629X.2008.00273.x
  5. Birkelund J. F., Werfhorst H. G. Long-term labor market returns to upper secondary school trackchoice: Leveraging idiosyncratic variation in peers’ choices. Social Science Research, 2022. Vol. 102, article ID 102629. 12 p. DOI:10.1016/j.ssresearch.2021.102629
  6. Brunello G., Rocco L. The labor market effects of academic and vocational education over the life cycle: evidence based on a British cohort. Journal of Human Capital, 2017. Vol. 11, no. 1, pp. 106—166. DOI:10.1086/690234
  7. Carr J. Här finns jobben för ekonomer [Elektronnyi resurs]. Civilekonomen. Sundbyberg: Civilekonomen, 2019. URL: https://www.civilekonomen.se/aktuellt/har-finns-jobben-for-ekonomer-2024 (Accessed 23.09.2022).
  8. Rosenzweig E. Q., Harackiewic J. M., Priniski S. J., Hecht C. A., Canning E. A., Tibbetts Y., Hyde J. S. Choose your own intervention: Using choice to enhance the effectiveness of a utility-value intervention [Elektronnyi resurs]. Motivation Science, 2019. Vol. 5(3), pp. 269—276. DOI:10.1037/mot0000113
  9. Choy M. W., Yeung A. S. Cognitive and affective academic self-concepts: Which predicts vocational education students’ career choice? International Journal of Educational Research Open, 2022. Vol. 3, article ID 100123. 10 p. DOI:10.1016/j.ijedro.2022.100123
  10. Coetzee S., Oberholzer R. South African career guidance counsellors’ and mathematics teachers’ perception of the accounting profession. Accounting Education, 2010. Vol. 19, no. 5, pp. 457—472. DOI:10.1080/09639280903411328
  11. Dalci ?., Özyapici H. Cultural values and students’ intentions of choosing accounting career. Journal of Financial Reporting & Accounting, 2018. Vol. 16, no. 1, pp. 179—196. DOI:10.1108/JFRA-09-2016-0072
  12. Eccles J. S., Wigfield A. Motivational beliefs, values, and goals. Annual Review of Psychology, 2002. Vol. 53, pp. 109—132.
  13. Yen-Hong Ng, Sue-Pei Lai, Zhi-Peng Su, Jing-Yi Yap, Hui-Qi Teoh, Han Lee Factors influencing accounting students’ career paths. Journal of Management Development, 2017. Vol. 36, no. 3, pp. 319—329. DOI:10.1108/JMD-11-2015-0169
  14. Forster A. G., Bol T., Van de Werfhorst H. G. Vocational education and employment over the life cycle. Sociological Science, 2016. Vol. 3, pp. 473—494. DOI:10.15195/v3.a21
  15. Golsteyn B. H., Stenberg A. Earnings over the life course: general versus vocational education. Journal of Human Capital, 2017. Vol. 11, no. 2, pp. 167—212. DOI:10.1086/691798
  16. Piesch H., Häfner I., Gaspard H., Flunger B., Nagengast B., Harackiewicz J. M. Helping parents support adolescents career orientation: Effects of a parent — based utility-value intervention [Elektronnyi resurs]. Unterrichtswissenschaft, 2019. Vol. 47, pp. 271—293. DOI:10.1007/s42010-018-0024-x
  17. Piesch H., Gaspard H., Parrisius C., Wille E., Nagengast B. How can a relevance intervention in math support students’ career choices? Journal of Applied Developmental Psychology, 2020. Vol. 71, article ID 101185. 5 p. DOI:10.1016/j.appdev.2020.101185
  18. Jackling B., Calero C. Influences on undergraduate students’ intentions to become qualified accountants: Evidence from Australia. Accounting Education, 2016. Vol. 15, no. 4, pp. 419—438. DOI:10.1080/09639280601011115
  19. Karlsson P., Noela M. Beliefs influencing students’ career choices in Sweden and reasons for not choosing the accounting profession. Journal of Accounting Education, 2022. Vol. 58, article ID 100756. 17 p. DOI:10.1016/j.jaccedu.2021.100756
  20. Landersø R., Heckman J. J. The Scandinavian fantasy: the sources of intergenerational mobility in Denmark and the US. Scandinavian Journal of Economics, 2017. Vol. 119, no. 1, pp. 178—230. DOI:10.1111/sjoe.12219
  21. Law P. K. A theory of reasoned action model of accounting students’ career choice in public accounting practices in the post-Enron. Journal of Applied Accounting Research, 2010. Vol. 11, no. 1, pp. 58—73. DOI:10.1108/09675421011050036
  22. Lazowski R. A., Hulleman C. S. Motivation interventions in education: A meta-analytic review. Review of Educational Research, 2016. Vol. 86, no. 2, pp. 602—640. DOI:10.3102/0034654315617832
  23. Levels M., Van der Velden R., Di Stasio V. From school to fitting work: how education-to-job matching of European school leavers is related to educational system characteristics. Acta Sociologica, 2014. Vol. 57, no. 4, pp. 341—361. DOI:10.1177/0001699314552807
  24. Noonan R. STEM jobs: 2017 Update ESA [Elektronnyi resurs]. 2017. Issue Brief # 02—17. URL: https://eric.ed.gov/?id=ED594354 (Accessed 23.09.2022).
  25. Praskova A., Creed P. A., Hood M. Career identity and the complex mediating relationships between career preparatory actions and career progress markers. Journal of Vocational Behavior, 2015. Vol. 87, pp. 145—153. DOI:10.1016/j.jvb.2015.01.001
  26. Wen L., Yang H., Bu D., Diers L., Wang H. Public accounting vs private accounting, career choice of accounting students in China [Elektronnyi resurs]. Journal of Accounting in Emerging Economies, 2018. Vol. 8, no. 1, pp. 124—140. DOI:10.1108/JAEE-09-2016-0080
  27. Samsuri A. S. B., Arifin T. R. B. T., Hussin S. B. Perception of undergraduate accounting students towards professional accounting career. International Journal of Academic Research in Accounting, Finance and Management Sciences, 2016. Vol. 6, no. 3, pp. 78—88. DOI:10.6007/IJARAFMS/v6-i3/2173
  28. Shavit Y., Muller W. Vocational secondary education. European Societies, 2000. Vol. 2, no. 1, pp. 29—50. DOI:10.1080/146166900360710
  29. Super D. E., Kidd J. M. Vocational maturity in adulthood: Toward turning a model into a measure. Journal of Vocational Behavior, 1979. Vol. 14, no. 3, pp. 255—270. DOI:10.1016/0001-8791(79)90054-X
  30. Song J., Gaspard H., Nagengast B., Trautwein U. The Conscientiousness x Interest Compensation (CONIC) model: Generalizability across domains, outcomes, and predictors. Journal of Educational Psychology, 2020. Vol. 112, no. 2, pp. 271—287. DOI:10.1037/edu0000379
  31. Borghans L., Diris R., Smits W., De Vries J. The long-run effects of secondary school track assignment. PLoS ONE. 2019. Vol. 14, no. 10. Article ID e0215493. 29 p. DOI:10.1371/journal.pone.0215493
  32. Gaspard H., Parrisius C., Piesch H., Kleinhansl M., Wille E., Nagengast B., Hulleman C. The potential for relevance interventions for scaling up: A cluster-randomized trial testing the effectiveness of a relevance intervention in math classrooms [Elektronnyi resurs]. PsyArXiv. 2020. 76 p. DOI:10.31234/osf.io/ahj3m
  33. Arens A. K., Yeung A. S., Craven R. G., Hasselhorn M. The twofold multi- dimensionality of academic self-concept: Domain specificity and separation between competence and affect components. Journal of Educational Psychology, 2011. Vol. 103, no. 4, pp. 970—981. DOI:10.1037/a0025047
  34. Van de Werfhorst H. G. Early tracking and social inequality in educational attainment: educational reforms in 21. American Journal of Education, 2019. Vol. 126, no. 1, pp. 65—99. DOI:10.1086/705500
  35. What Works Clearinghouse (ed.). What Works Clearinghouse [Elektronnyi resurs]: Standards Pandbook. Version 4.1. Washington, DC: U. S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance, 2020. 116 p. URL: https://ies.ed.gov/ncee/wwc/Docs/referenceresources/WWC-Standards-Handbook-v4-1-508.pdf (Accessed 23.09.2022).

Information About the Authors

Tatiana A. Egorenko, PhD in Psychology, Associate Professor, Head of the Chair of Pedagogical Psychology named after Professor V.A. Guruzhapov, Moscow State University of Psychology & Education, Moscow, Russia, ORCID: https://orcid.org/0000-0002-2934-5657, e-mail: egorenkota@mgppu.ru

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