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Science, Technology, Engineering, Management and Medicine
Testing the Synergistic Mechanism of Project-Based Learning and Credit Bank Systems:A SmartPLS-Based Empirical Study of Industry-Education Integration in Applied Animation and Game Programs
DOI: https://doi.org/10.62517/jhet.202615141
Author(s)
Xiaojian Chen
Affiliation(s)
Guangzhou Huashang College, Guangzhou, Guangdong, China
Abstract
Project-based learning has become a common instructional arrangement in applied animation and game programs, yet its educational value often depends on whether project outputs can be translated into recognizable and transferable learning records. Using questionnaire data from 203 students, this study examines how project-based learning quality and credit bank integration are connected with industry-education integration outcomes through digital platform capability. The model is estimated with SmartPLS. The results show that stronger project design is associated with higher digital platform capability (β = 0.518, 95% CI [0.397, 0.645]), and the same pattern appears for credit bank integration (β = 0.411, 95% CI [0.270, 0.539]). Digital platform capability is, in turn, positively related to industry-education integration outcomes (β = 0.411, 95% CI [0.276, 0.545]). Both indirect effects are supported. The interaction between digital platform capability and industry participation is negative (β = −0.193, 95% CI [−0.317, −0.070]), suggesting that intensive enterprise involvement can absorb part of the coordinating function usually provided by the platform. The findings indicate that project pedagogy becomes more institutionally effective when learning evidence can be captured, endorsed, and converted across school-enterprise settings. The study contributes empirical evidence to current discussions on credit recognition, platform governance, and the organization of applied talent cultivation.
Keywords
Project-Based Learning; Credit Bank; Digital Platform Capability; Industry Participation; Industry-Education Integration; PLS-SEM
References
[1]Guo, P., Saab, N., Post, L. S., & Admiraal, W. (2020). A review of project-based learning in higher education: Student outcomes and measures. International Journal of Educational Research, 102, 101586. [2]Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68-78. [3]Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd ed.). Thousand Oaks, CA: Sage. [4]Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. [5]Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903. [6]Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1-10. [7]The General Office of the State Council of the People's Republic of China. (2017, December 19). Several opinions on deepening industry-education integration. [8]The General Office of the State Council of the People's Republic of China. (2021, October 12). Opinions on promoting the high-quality development of modern vocational education. [9]Ministry of Education of the People's Republic of China. (2023, September 14). Notice on key tasks for building a learning society. [10]National Development and Reform Commission et al. (2023, June 13). Implementation plan for empowering and upgrading industry-education integration in vocational education (2023-2025).
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