The Effectiveness of a Generative AI-Based Literature Module on Motivation and Self-Efficacy among Higher Vocational Students: A Quasi-Experimental Study

Abstract

This study focuses on applying generative AI technology in literature teaching in higher vocational colleges. It aims to explore its impact on students' motivation and self-efficacy. Using a quasi-experimental research method, 120 students from higher vocational colleges participated in the study. The experimental group received instruction through a generative AI–based module, while the control group followed a traditional teaching model for 10 weeks. Data analysis showed that the experimental group achieved significantly greater improvements in motivation and self-efficacy than the control group (p < 0.05), and also outperformed their own pretest results (p < 0.05). These findings indicate that a literature module based on generative AI can effectively stimulate the motivation of higher vocational students and enhance their self-efficacy, providing new ideas and a practical basis for reforming literature teaching in higher vocational colleges.