結合生成式人工智慧與自主學習提升高職學生的英語閱讀理解和聽力學習成效

Abstract

Abstract: This study aims to improve the low effectiveness of English learning among vocational students by combining generative artificial intelligence and the four learning methods of self-directed learning (self-study before class, shared learning within groups, mutual learning between groups, and teacher guidance). The study adopted a single- group pre-test and post-test comparison method, with a total of 21 second-year students in a high-education school in Central and Taiwan teaching a total of 16 lessons in two units. Activities include self-study on the KAMI platform, WSQ study sheet application and generative artificial intelligence-assisted learning. Students use ChatGPT and Notebook LM to explore topics and solve problems, and participate in group discussions and result sharing. After the pre- and post-test paired sample t-test analysis of the two units, students' English reading comprehension and listening learning outcomes have been significantly improved.