International Journal of Instructional Cases (IJIC)

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Adaptive Learning Strategies in Higher Vocational Education: Utilizing Concise Cases for Diverse Learning Styles

Qiao Cui
Ph.D. Candidate, Internation College, krirk university, Bangkok, Thailand, 710061.
Weng Fwuyuan
Dr., Internation College, krirk university, Bangkok, Thailand, 710061.

Abstract

This study examines the integration of digital content generation and game-based learning within the framework of smart learning methods in higher vocational education. The research employs secondary document data analysis to explore how these technologies accommodate diverse learners, enhance engagement, and foster the development of practical skills. Specifically, it highlights the role of AI-generated content, which offers personalized learning paths and immediate feedback, as well as game-based learning elements that increase motivation and participation through the interactive and immersive features of games. The evidence suggests that the combination of these technologies creates an enriched learning environment, thereby improving educational outcomes. The findings also indicate the potential to transform vocational education, despite challenges such as technical issues and the difficulties associated with preparing educators for these innovations. Recommendations include adopting these technologies, investing in infrastructure, and supporting the professional development of instructors.

Keywords:Adaptive Learning Strategies, AI-Powered Content Creation, Gamification, Immersive Learning, Higher Vocational Education