生成式人工智能支持下日语辅修《基础日语》课程学习活动链重构

Reconstruction of Learning Activity Chain Assisted by GenAI for Basic Japanese in a Japanese Minor Program

摘要: 针对地方高校日语辅修《基础日语》学生语言基础差异以及生成式人工智能介入过早可能造成的难度失配、认知外包和学习过程不可见等问题，本文构建“明确任务–独立产出–智能对照–证据核验–迁移表达”的五阶段递进式学习活动链，并以动词て形、情境会话和短文表达展示任务设计。该任务将生成式人工智能辅助限定为材料比较、局部反馈和角色回应，要求学生保留初稿、交互节选、核验记录、修订稿和迁移作品。修改依据和迁移表现纳入过程评价，并提出相应实施边界，为日语辅修课程中生成式人工智能应用提供教学设计参考。

Abstract: To address differences in Japanese-language proficiency among students in Basic Japanese courses of Japanese minor programs at local universities, as well as the issues of difficulty mismatch, cognitive offloading, and invisible learning processes arising from the premature use of GenAI, this study constructs a progressive five-stage learning activity chain: task clarification, independent production, AI-assisted comparison, evidence-based verification, and transfer production. It is illustrated by the task design through te-form conjugation, situational dialogues, and short-text production. The tasks assisted by GenAI are designed by providing comparative materials, focused feedback on specific language points, and role responses. Students are required to retain initial drafts, selected interaction excerpts, verification records, revised versions and transferred products, thereby incorporating the revisions evidence and transferred performance into process-based assessment. The study further sets out corresponding implementation boundaries and provides a pedagogical design reference for the application of GenAI in Japanese minor programs.