Designing Adaptive Learning Experiences for Generation Z in the Gig Economy
Downloads
Background. The expansion of the gig economy has reshaped conventional career pathways and increased the need for Generation Z to develop adaptive, digital, entrepreneurial, and self-directed career competencies. Traditional career counseling, however, often remains oriented toward occupational information and linear employment pathways.
Purpose. This study aimed to design and evaluate an Adaptive Career Learning Experience (ACLE) to strengthen Generation Z’s readiness for flexible, digital, and non-traditional careers..
Method. Educational Design Research was employed through analysis and exploration, design and construction, and evaluation and reflection. Participants included 180 university students for needs analysis, seven experts for validation, 24 students for a small-group trial, and 120 students for field evaluation. ACLE was structured through five stages: Explore, Adapt, Build, Simulate, and Reflect..
Novelty. The study reconceptualizes career preparation as an instructional design framework integrating adaptive learning, authentic career simulation, digital-professional competence, entrepreneurial readiness, and reflective career planning.
Results. Expert validation indicated high content validity, with Aiken’s V ranging from 0.86 to 0.94. Students participating in ACLE showed significantly greater improvements than the comparison group in career adaptability, digital career competence, entrepreneurial readiness, career self-efficacy, and gig economy career readiness (p < .001).
Conclusion. ACLE offers an effective framework for shifting career preparation beyond conventional counseling toward adaptive, authentic, and experiential learning that better prepares Generation Z for digitally mediated and non-linear career environments
Aiken, L. R. (1985). Three coefficients for analyzing the reliability and validity of ratings. Educational and Psychological Measurement, 45(1), 131-142.
Athar, A., Azmi, F. T., & Reza, R. (2025). Gigs or 9-to-5: A qualitative investigation for understanding students’ career preferences. Higher Education, Skills and Work-Based Learning, 15(4), 917-937. https://doi.org/10.1108/HESWBL-11-2024-0354
Choto, H. M., & Remadan, N. M. (2026). A transformative practice-based pedagogical model for architectural design education: Bridging practice, teaching, and research. Journal of Engineering and Applied Science, 73(1), 28. https://doi.org/10.1186/s44147-026-00892-0
Erwin, Degeng, M. D. K., Degeng, I. N. S., & Praherdhiono, H. (2026). The effectiveness of collaborative blended learning on mastery of instructional media concepts. Multidisciplinary Reviews, 9(12), 2026497. https://doi.org/10.31893/multirev.2026497
Erwin, E., & Kuswandi, D. (2024). Tinjauan pustaka: Model pembelajaran blended learning di era Society 5.0. INOPENDAS: Jurnal Ilmiah Kependidikan, 7(1), 39-47.
Hamdi, M., Indarti, N., Manik, H. F. G. G., & Lukito-Budi, A. S. (2023). Monkey see, monkey do? Examining the effect of entrepreneurial orientation and knowledge sharing on new venture creation for Gen Y and Gen Z. Journal of Entrepreneurship in Emerging Economies, 15(4), 786-807. https://doi.org/10.1108/JEEE-08-2021-0302
Hartung, P. J., Porfeli, E. J., & Vondracek, F. W. (2008). Career adaptability in childhood. The Career Development Quarterly, 57(1), 63-74.
He, J., Peng, J., & Zeng, G. (2023). The Spatiality of the Creative Digital Economy: Local Amenities to the Spatial Agglomeration of Creative E-Freelancers in China. Journal of the Knowledge Economy, 14(4), 4608-4629. https://doi.org/10.1007/s13132-022-01088-6
Herrington, J., Oliver, R., & Reeves, T. C. (2003). Patterns of engagement in authentic online learning environments. Australasian Journal of Educational Technology, 19(1). https://doi.org/10.14742/ajet.1701
Jagannathan, S., Ra, S., & Maclean, R. (2019). Dominant recent trends impacting on jobs and labor markets—An Overview. International Journal of Training Research, 17(sup1), 1-11. https://doi.org/10.1080/14480220.2019.1641292
Lent, R. W., & Brown, S. D. (2019). Social cognitive career theory at 25: Empirical status of the interest, choice, and performance models. Journal of Vocational Behavior, 115, 103316. https://doi.org/10.1016/j.jvb.2019.06.004
Lent, R. W., Ireland, G. W., Penn, L. T., Morris, T. R., & Sappington, R. (2017). Sources of self-efficacy and outcome expectations for career exploration and decision-making: A test of the social cognitive model of career self-management. Journal of Vocational Behavior, 99, 107-117. https://doi.org/10.1016/j.jvb.2017.01.002
Leung, J. S. C. (2022). A Practice-Based Approach to Learning Nature of Science through Socioscientific Issues. Research in Science Education, 52(1), 259-285. https://doi.org/10.1007/s11165-020-09942-w
Lucciarini, S., & Bellini, A. (2026). Ideal worker norms and narrative contradictions in a Big4 consulting firm: An intersectional analysis of project-based work during the pandemic. Journal of Gender Studies, 35(5), 1146-1163. https://doi.org/10.1080/09589236.2026.2655829
Mahmudnia, D., Ghanbaripour, A. N., Jahan Tumpa, R., Rashidian, S., & Ghamarimajd, Z. (2026). Technology-driven gender inclusion in construction: A systematic review and future research directions. International Journal of Construction Management, 1-18. https://doi.org/10.1080/15623599.2026.2658749
McKenney, S., & Reeves, T. C. (2025). Educational design research for relevant & robust scholarship. Journal of Computing in Higher Education, 37(2), 614-638. https://doi.org/10.1007/s12528-025-09456-2
Mudinillah, A., Kuswandi, D., Erwin, E., Sugiarni, S., Winarno, W., Annajmi, A., & Hermansah, S. (2024). Optimizing Project-Based Learning in Developing 21st Century Skills: A Future Education Perspective. Qubahan Academic Journal, 4(2), 86-101. https://doi.org/10.48161/qaj.v4n2a352
Muluk, S., Habiburrahim, H., Zulfikar, T., Orrell, J., & Mujiburrahman, M. (2019). Developing generic skills at an Islamic higher education institution curriculum in Aceh, Indonesia. Higher Education, Skills and Work-Based Learning, 9(3), 445-455. https://doi.org/10.1108/HESWBL-06-2018-0064
Rudolph, C. W., Zacher, H., & Hirschi, A. (2019). Empirical developments in career construction theory. Journal of Vocational Behavior, 111, 1-6. https://doi.org/10.1016/j.jvb.2018.12.003
Saraiva, M., & Nogueiro, T. (2025). Perspectives and Realities of Disengagement Among Younger Generation Y and Z Workers in Contemporary Work Dynamics. Administrative Sciences, 15(4), 133. https://doi.org/10.3390/admsci15040133
Savickas, M. L., Nota, L., Rossier, J., Dauwalder, J.-P., Duarte, M. E., Guichard, J., Soresi, S., Van Esbroeck, R., & Van Vianen, A. E. M. (2009). Life designing: A paradigm for career construction in the 21st century. Journal of Vocational Behavior, 75(3), 239-250. https://doi.org/10.1016/j.jvb.2009.04.004
Sutherland, W., Jarrahi, M. H., Dunn, M., & Nelson, S. B. (2020). Work Precarity and Gig Literacies in Online Freelancing. Work, Employment and Society, 34(3), 457-475. https://doi.org/10.1177/0950017019886511
Testa, M., Apuzzo, A., & Pittaway, L. (2026). AI literacy alone is not enough: Student AI readiness and career adaptability in business and management education. The International Journal of Management Education, 24(2), 101394. https://doi.org/10.1016/j.ijme.2026.101394
Tran, L. T., Tan, G., Bui, H., & Rahimi, M. (2025). Evolving pathways: From the education-migration nexus to the education-work-migration nexus in Australia. Journal of Sociology, 61(2), 273-290. https://doi.org/10.1177/14407833241311240
Xin, L., Tang, F., Li, M., & Zhou, W. (2020). From School to Work: Improving Graduates’ Career Decision-Making Self-Efficacy. Sustainability, 12(3), 804. https://doi.org/10.3390/su12030804
Copyright (c) 2026 Fauzi Aldina, Seema Bholah, Lila Ramchurn

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.