Understanding the Application of GenAI in Higher Vocational Education: A Perspective on Students’ Deep Learning Behavior

Hang Chen; Hongchao Zhang

doi:10.6918/IJOSSER.202512_8(12).0047

Authors

Hang Chen
Hongchao Zhang

DOI:

https://doi.org/10.6918/IJOSSER.202512_8(12).0047

Keywords:

Deep learning behavior, Generative artificial intelligence, Higher vocational education

Abstract

The integration of generative artificial intelligence (GenAI) is reshaping teaching and learning in higher vocational education. Using Activity Theory as the analytical framework, this study explores how GenAI influences the emergence of deep learning among vocational students. This study proposes that GenAI supports deep learning by enhancing cognitive scaffolding, improving interaction quality, strengthening emotional and social support, and enabling more efficient human–AI collaboration. At the same time, risks such as over-reliance and reduced critical thinking remain. This study provides a clearer understanding of how GenAI affects vocational students’ deep learning and offers implications for designing more effective AI-supported learning environments.

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