The Effect of Digital Literacy on Learning Motivation and Career Adaptability among Management Students in Jakarta

Authors

DOI:

https://doi.org/10.59683/ijle.v2i2.312

Keywords:

digital literacy, career adaptability, learning motivation, linear regression, Career Construction Theory

Abstract

This study aims to examine the effect of digital literacy on learning motivation and career adaptability among final-year management students. Grounded in Career Construction Theory (CCT), the study employs a cross-sectional quantitative design with a survey of 250 students at a private university in Jakarta. Data were analyzed using simple linear regression for each hypothesis. Results confirm: (H1) digital literacy positively and significantly affects career adaptability (β = 0.623; R² = 0.739; F(1,248) = 701.570; p < .001); (H2) digital literacy positively and significantly affects learning motivation (β = 0.557; R² = 0.559; F(1,248) = 314.785; p < .001); and (H3) learning motivation positively and significantly affects career adaptability (β = 0.840; R² = 0.744; F(1,248) = 720.068; p < .001). All three hypotheses are statistically supported. These findings imply the importance of integrating digital literacy development into university curricula as a foundation for nurturing learning motivation and career adaptability in the digital era.

Keywords: digital literacy, career adaptability, learning motivation, linear regression, Career Construction Theory

 

References

[1] Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall.

[2] Benedetti, A. A., Diefendorff, J. M., Gabriel, A. S., & Chandler, M. M. (2015). The effects of intrinsic and extrinsic sources of motivation on well-being depend on time of day: The moderating effects of workday accumulation. Journal of Vocational Behavior, 88, 38–46. https://doi.org/10.1016/j.jvb.2015.02.009

[3] Deci, E. L., & Ryan, R. M. (2000). The “What” and “Why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. https://doi.org/10.1207/S15327965PLI1104_01

[4] European Commission. Joint Research Centre. (2017). DigComp 2.1: The digital competence framework for citizens with eight proficiency levels and examples of use. Publications Office. https://doi.org/10.2760/38842

[5] Ghozali, I. (2018). Aplikasi analisis multivariate dengan program IBM SPSS 25 (9th ed.). Badan Penerbit Universitas Diponegoro.

[6] Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203

[7] Hänggli, M. (n.d.). Assessing key predictors of career success: Development and validation of the Career Resources Questionnaire (CRQ). [Unpublished manuscript].

[8] Johnston, C. S. (2018). A systematic review of the career adaptability literature and future outlook. Journal of Career Assessment, 26(1), 3–30. https://doi.org/10.1177/1069072716679921

[9] Pintrich, P. R., & Schunk, D. H. (2002). Motivation in education: Theory, research, and applications (2nd ed.). Merrill Prentice Hall.

[10] Savickas, M. L. (2005). The theory and practice of career construction. In S. D. Brown & R. W. Lent (Eds.), Career development and counseling: Putting theory and research to work (pp. 42–70). Wiley.

[11] Savickas, M. L. (2013). Career construction theory and practice. In S. D. Brown & R. W. Lent (Eds.), Career development and counseling: Putting theory and research to work (2nd ed., pp. 147–183). Wiley.

[12] Savickas, M. L., & Porfeli, E. J. (2012). Career Adapt-Abilities Scale: Construction, reliability, and measurement equivalence across 13 countries. Journal of Vocational Behavior, 80(3), 661–673. https://doi.org/10.1016/j.jvb.2012.01.011

[13] 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, extrinsic, and amotivation in education. Educational and Psychological Measurement, 52(4), 1003–1017.

[14] Van Laar, E., Van Deursen, A. J. A. M., Van Dijk, J. A. G. M., & De Haan, J. (2017). The relation between 21st-century skills and digital skills: A systematic literature review. Computers in Human Behavior, 72, 577–588. https://doi.org/10.1016/j.chb.2017.03.010

[15] 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. https://doi.org/10.1080/00220272.2012.668938

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Published

2026-07-31

How to Cite

Wahyu Pamungkas, H. (2026). The Effect of Digital Literacy on Learning Motivation and Career Adaptability among Management Students in Jakarta. International Journal of Learning and Education, 2(2), 10–19. https://doi.org/10.59683/ijle.v2i2.312