結合人工智能與協作平台於中國語文科的文言篇章教學: 一個增強中四學生的文言篇章的案

Abstract

This study explores integrating generative and collaborative platforms into classical Chinese text instruction in secondary four Chinese language courses to enhance reading interest and comprehension. Traditional instruction often faces difficulties with comprehension and low motivation. Drawing on constructivist and self-regulated learning theories, this study designs an approach using Artificial Intelligence -generated question banks and word definitions, combined with interactive learning on a collaborative platform. Students practice independently with 人工智能 during pre-study, receiving immediate feedback. In class, they use Artificial Intelligence -generated images for voting and discussion to deepen understanding. Post-class, Artificial Intelligence -based review consolidates learning. Results show increased engagement, comprehension, and teacher efficiency, and recommend optimizing Artificial Intelligence content and data- driven teaching methods to foster autonomous, critical thinking. This approach offers new possibilities for education.