Interest, Self-efficacy and Environmental Influences on the Career Decision Making of Adolescents
##plugins.themes.bootstrap3.article.sidebar##
##plugins.themes.bootstrap3.article.main##
Abstract
This study determined the profile of the respondents in terms of age, sex, their parents’ highest educational attainment, their parents’ occupation, their parents’ combined annual income, type of school, interest, self-efficacy, and environmental influences on their career decision making. The research instrument for this study was developed with a Cronbach’s alpha of 0.90 which was interpreted as reliable. It was administered to 583 respondents, of whom 84 came from private schools and 499 from public schools. The statistical treatments utilized were frequency, percentage, and chi-square tests. The findings of the study revealed that the respondents had a high level of self-efficacy and were interested in their preferred track and strand. Their most preferred career track and strand were the Academic Track and Humanities Social Sciences (HUMSS) Strand, and the least preferred were the Arts and Design Track, Home Economics Strand, and Industrial Arts Strand under the Technology-Vocational-Livelihood Track. The results also revealed that there is a significant relationship between the career choice of adolescents and their profile in terms of age, sex, their father’s highest educational attainment, the type of school, and interest in the preferred track and strand. It was also found that there is no significant relationship between the career choice of adolescents and their profile in terms of their mother’s highest educational attainment, their father’s occupation, their mother’s occupation, their parents’ combined annual income, self-efficacy, and their environment. However, teachers significantly influenced adolescents career decisions.
Keywords: Career Exploration, Adolescence Traits, Teacher’s Role, Parent’s Influences
References
Al-Bahrani, M. A., Allawati, S. M., Abu Shindi, Y. A., & Bakkar, B. S. (2020). Career Aspiration and Related Contextual Variables. International Journal of Adolescence and Youth, 25(1), 703-711. https://doi.org/10.1080/02673843.2020.1730201
Alisic, A., & Wiese, B. S. (2020). Keeping an Insecure Career under Control: The Longitudinal Interplay of Career Insecurity, Self-management, and Self-efficacy. Journal of Vocational Behavior, 120, 103431. https://doi.org/10.1016/j.jvb.2020.103431
Bandura, A. (1997). Self-efficacy: The Exercise of Control. New York, NY: W. H. Freeman.
Department of Education, Republic of the Philippines. (2019). DepED Order, No. 021 S. 2019, Policy Guidelines on the K to 12 Basic Education Program. Retrieved from https://www.deped.gov.ph/wp-content/uploads/2019/08/DO_s2019_021.pdf
Evans, K., & Furlong, A. (2019). Metaphors of Youth Transitions: Niches, Pathways, Trajectories or Navigations. In Youth, Citizenship and Social Change in a European Context (pp. 17-41). London, UK: Routledge.
Falco, L. D., & Summers, J. J. (2019). Improving Career Decision Self-efficacy and STEM Self-efficacy in High School Girls: Evaluation of an Intervention. Journal of Career Development, 46(1), 62–76. https://doi.org/10.1177/0894845317721651
Gevorgyan, S. (2021, September 9). Skills Mismatch Serious Obstacle for Youth in Search of Jobs Worldwide. DevelpmentAid. Retrieved from https://www.developmentaid.org/news-stream/post/109101/skills-mismatch-serious-obstacle-for-youth
Gwelo, A. S. (2019). Determinants of Career Choice Among University Students. Malaysian Online Journal of Educational Management (MOJEM), 7(1), 1-19. Retrieved from https://ejournal.um.edu.my/index.php/MOJEM/article/view/15758
Holland, J. L. (1985). Manual for the Vocational Preference Inventory. Odessa, Florida: Psychological Assessment Resources.
Kiuru, N., Puolakanaho, A., Lappalainen, P., Keinonen, K., Mauno, S., Muotka, J., & Lappalainen, R. (2021). Effectiveness of a Web-based Acceptance and Commitment Therapy Program for Adolescent Career Preparation: A Randomized Controlled Trial. Journal of Vocational Behavior, 127, 103578. https://doi.org/10.1016/j.jvb.2021.103578
Maldonado, L. G., Kim, K., & Threeton, M. D. (2020). An Application of Holland’s Theory to Career Interests and Selected Careers of Automotive Technology Students. Journal of Career and Technical Education, 35(1), 36-54. Retrieved from https://eric.ed.gov/?id=EJ1327135
Ouano, J. J. G., Torre, J. F. D. L., Japitan, W. I., & Moneva, J. C. (2019). Factors Influencing on Grade 12 Students Chosen Courses in Jagobiao National High School–senior High School Department. International Journal of Scientific and Research Publications, 9(1), 421-431. https://doi.org/10.29322/IJSRP.9.01.2019.p8555
Pandang, A., Umar, N. F., & Harum, A. (2022). Gender Analysis of Student Career Self-efficacy and Implications in Career Guidance Services at State Vocational Schools. Journal of Educational Science and Technology, 8(2), 105-112. Retrieved from https://ojs.unm.ac.id/JEST/article/view/35203
Sears, S. J., & Gordon, V. N. (2002). Building your Career: A Guide to your Future (3rd ed.). Upper Saddle River, NJ: Prentice Hall.
Taber, K. S. (2018). The Use of Cronbach’s Alpha when Developing and Reporting Research Instruments in Science Education. Research in Science Education, 48, 1273-1296. https://doi.org/10.1007/s11165-016-9602-2
Wulandari, C., & Kurniasih, H. (2019). Community Preferences for Social Forestry Facilitation Programming in Lampung, Indonesia. Forest and Society, 3(1), 114-132. Retrieved from http://repository.lppm.unila.ac.id/15114/1/6026-16479-1-PB.pdf
Yeung, W.-J. J., & Yang, Y. (2020). Labor Market Uncertainties for Youth and Young Adults: An International Perspective. The ANNALS of the American Academy of Political and Social Science, 688(1), 7–19. https://doi.org/10.1177/0002716220913487