DOI QR코드

DOI QR Code

A Study on the Influence of Growth Mindset of University Students on Career Adaptability: Testing the Mediation Effect of Learning

대학생의 성장마인드셋이 진로적응성에 미치는 영향 분석: 학습몰입의 매개효과 검증

  • Woojung Jang (Dept. of Airline Cabin Service Management, Far East University)
  • 장우정 (극동대학교 항공운항서비스학과)
  • Received : 2023.07.23
  • Accepted : 2023.09.20
  • Published : 2023.09.28

Abstract

The purpose of this study is to verify the mediating effect of Learning Flow in the relationship between Growth Mindset and Career Adaptability. Based on 203 response data collected from university students, hypotheses were analyzed using SPSS 26.0 and AMOS 26.0 programs. According to the result of this study, Growth Mindset had a direct positive (+) effect on Learning Flow (𝛽=.403, p<.001), and Learning Flow also had a positive (+) effect on Career Adaptability (𝛽=.393, p<.001). Also, in the relationship between Growth Mindset and Career Adaptability, Learning Flow showed a mediating effect. This means that in order for Growth Mindset to affect Career Adaptability, Learning Flow must be considered as essential. To this end, it suggests that it is important to build a Learning Flow along with cultivating a Growth Mindset.

본 연구는 성장마인드셋과 진로적응성 간 관계에서 학습몰입의 매개효과를 검증하는데 목적이 있으며 충북 소재 4년제 대학에 재학 중인 학생들로부터 수집한 203개의 응답 자료를 바탕으로 진행되었다. SPSS 26.0을 이용해 빈도분석과 기술통계분석을 하였고 확인적요인분석을 기반으로 측정모형을 평가한 후 수행한 경로분석은 AMOS 26.0 프로그램을 활용하였다. 연구 결과, 성장마인드셋은 학습몰입에 직접 정(+)의 영향을 미쳤으며(𝛽=.403, p<.001), 학습몰입 역시 진로적응성에 정(+)의 영향을 미쳤다(𝛽=.393, p<.001). 또한 성장마인드셋과 진로적응성의 관계에서 학습몰입은 완전매개효과를 보였다. 이는 성장마인드셋이 진로적응성에 영향을 미치기 위해서는 학습몰입이 필수적으로 함께 고려되어야 한다는 것을 의미한다. 본 연구는 급변하는 진로 환경에 효과적으로 대응하기 위해 진로적응성을 향상시키는 것의 중요성을 강조했으며 이를 위해서는 성장마인드셋 함양과 함께 학습몰입 환경 구축이 중요함을 시사하고 있다.

Keywords

References

  1. W. J. Jang (2023), Study on the Influence of Growth Mindset of University Students on Occupational Engagement: Testing the Mediation Effect of Career Adaptability, Journal of Industrial Convergence. 21(3), 49-56, DOI : 10.22678/JIC.2023.21.3.049
  2. D. E. Super (1957). The Psychology of Careers (Vol. 195). New York ; Harper & Row.
  3. H. M. Kim & A. R. Choi, (2022), The Mediating Effect of Grit in the Relationship between Growth Mindset and Career Preparation behavior of University Students, The Korean Journal of East West Science , 25(1), 129-144. DOI : 10.55586/kewms.2022.25.1.129
  4. H. J. Park (2022), A Study onthe Relationship Between Career Environment and Grit and Career Behavior:COVID-19 Pandemic, The Journal of Humanities and Social Sciences 21, 13(3), 789-802. DOI : 10.22143/HSS21.13.3.56
  5. Y. Y. Lee (2021), The Longitudinal study of Vocational identity of Emerging Adults: the relationships among Vocational identity, Individual Differences, and Career Adaptation, (Doctoral Dissertation, Korea University).
  6. Y. N. Seo (2023), The Moderating Effect of Planned Happenstance Skills on the Relationship Between Intolerance of Uncertainty and Career Adaptability of College Students (Master's thesis, SookMyung Women's University)
  7. J. Y. Kim & J. K. Tak (2023), The Mediating Effect of Cognitive Flexibility on the Emotional Intelligence and Career Adaptability of University Students, The Journal of Humanities and Social science 21, 14(3), 1707-1722. DOI : 10.22143/HSS21.14.3.118
  8. M. H. Na (2018), Theoretical Consideration on the Concept of Career Adaptability and Application to Career Counseling, (Master's thesis, Korea University).
  9. Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. New York: HarperCollins.
  10. H. S. Lee (2023), The Influence of University Students' Reflective Learning on Occupational Engagement and Mediating Effect of Learning Flow, The Journal of the Korean Contents Association, 23(2). DOI : 10.5392/JKCA 2023.23.02.564
  11. Dweck, C. S., Chiu, C. y., & Hong, Y. y. (1995). Implicit theories: Elaboration and extension of the model. Psychological Inquiry , 6(4), 322-333. https://doi.org/10.1207/s15327965pli0604_12
  12. A .L. Duckworth, (2006). Intelligence is not enough: Non-IQ predictors of achievement. (Unpublished doctoral dissertation, University of Pennsylvania, Pennsylvania).
  13. J. H. Park, (2021), The Relationship between Grit and Change-Oriented Organizational Citizenship Behavior of A Enterprise Employees and the Mediating Effect of Growth Mindset, (Master's Thesis, Korea University).
  14. C. G. Kim & J. H. Kim (2020). Mediation Effects of Grit in the Relationship between Growth Mindset and Career Maturity of Elementary School Students. The Journal of Learner-Centered Curriculum and Instruction , 20(12), 945-968.
  15. E. Park, K. H. Kim (2015). Development of the Learning Goal Orientation Promotion Program and it's Efficacy, Journal of Social Science, 26(1), 227-250. DOI : 10.16881/jss.2015.01.26.1.227
  16. Super, D. E., & Knasel, E. G. (1981). Career development in adulthood: Some theoretical problems. British Journal of Guidance and Counseling, 9, 194-201. https://doi.org/10.1080/03069888108258214
  17. Savickas, M. L. (1997). Career adaptability: An integrative construct for life-span, life-space theory. The Career Development Quarterly, 45, 247-259. https://doi.org/10.1002/j.2161-0045.1997.tb00469.x
  18. C. Y. Jeong (2021), The Effect of Achievement Goal Orientation on the Occupational Engagement: The Mediating Effect of Career Adaptability and the Moderating Effect of Social Network Type, (Master thesis, Chung-Ang University).
  19. Savickas, M. L., & Porfeli, E. J. (2012). Career Adapt-Abilities Scale: Construction, reliability, and measurement equivalence across 13 countries. Journal of Vocational Behavior, 80, 661-673. https://doi.org/10.1016/j.jvb.2012.01.011
  20. K. T. Oh (2020), The relationship between Leisure Satisfaction and Learning Flow of the adult learners in lifelong education center of A University, (Master thesis, Korea University).
  21. I. B. Seok, (2008) Analyzing Characters of the Learning Flow, Journal of the Education Technology , 24(1), 187-212. DOI : 10.17232/KSET.24.1.187
  22. S. J. Jeong (2014), The Effects of Unemployed Vocational Trainees Psychosocial Characteristics, Training Program Characteristics, Learning Flow, and Career Planning on Employability, (Doctoral Desertation, Seoul National University).
  23. H. J. Lim, (2023) Analyzing Characters of the Learning Flow, Journal of Educational Studies, 44(2), 149-181. DOI : 10.18612/cnujes.2023.44.2.14
  24. Handelsman, M. M., Briggs, W. L. Sullivan, N., & Towler, A. (2005). A measure of college student course engagement. The Journal of Educational Research , 98(3), 184-191.
  25. Schaufelo, W. B et al, (2002) Burnout and engagement in university students: A cross-national study. Journal of Cross-Cultural Psychology, 33(5), 464-481
  26. Dweck, C. S. (2006). Mindset: The new psychology of success. New York, NY: Ballantine Books.
  27. Maggiori, C., Rossier, J., & Savickas, M. L.(2017). Career adapt-abilities scale-short form(CAAS-SF) construction and validation. Journal of career assessment, 25(2), 312-325. https://doi.org/10.1177/1069072714565856
  28. Schaufelo, W. B et al, (2002) Burnout and engagement in university students: A cross-national study. Journal of Cross-Cultural Psychology, 33(5), 464-481
  29. Y. S. Jo, A. J. Hong, and C. Y. Jeong(2020), A Psychometric Investigation of the Utrecht Work Engagement Scale-9 Using the Rasch Measurement Model, Journal of Competency Development & Learning, 15(1), 111-139. DOI : 10.21329/khard.2020.15.1.111
  30. J. C. Anderson & D. W. Gerbing. (1988). Structural Equation Modeling in Practice: A Review and Recommended Two Step Approach. Psychological Bulletin, 103(3), 453-460.
  31. R. B. Kline. (2005). Principles and Practice of Structural Equation Modeling. New York: Guilford Press.
  32. J. C. Nunnally. (1978), Psychometrictheory, Ney York : McGraw-Hill.
  33. J. F, Hair, W. C. Black, B. J. Babin, R. E. Anderson, R. L. Tatham. (2006). Multivariate Data Analysis. Pearson Education International.
  34. J. C. Anderson & D. W. Gerbing. (1988). Structural Equation Modeling in Practice: A Review and Recommended Two Step Approach. Psychological Bulletin, 103(3), 453-460.
  35. Fornell, C., & Larcker, D. F. (1981).Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104