生成式人工智能赋能法语阅读“课程思政”的创新发展研究

Generative Artificial Intelligence in French Reading Pedagogy: A Study on Innovative Development of Curriculum-Based Ideological and Political Education

摘要: 人工智能时代，高校课程思政的数智化赋能刻不容缓。而依托AIGC等先进智能技术，推动法语等小语种专业课程与思政课程同向同行的实践研究却相对较少。在此背景下，文章以AIGC为技术手段，重点考察其在法语阅读“课程思政”教学、实践及评价环节的实施路径、实践形态与作用机制。研究内容囊括三重点：首先是三层进阶课堂。基于教学工具智能、教学场景需求以及教学主体交互角度，思考AIGC助力“专业 + 思政”课堂进阶的实施路径；其次是三方联动实践。通过赛课结合、大学生创新创业训练活动以及校企合作的三方联动，打造多元化真实活动，在实践中筑牢课堂进阶成果；最后是四性融合评价。融合学科“知识性”、方法“数智性”、思辨“能力性”和案例“素质性”，多维度评价学生习得效果。

Abstract: In the era of artificial intelligence, the digital and intelligent empowerment of ideological and political education in university courses is urgent. However, there is relatively little practical research on promoting the integration of minor language courses such as French and ideological and political courses through advanced intelligent technologies such as AIGC. Against this backdrop, the author uses AIGC as a technical means to focus on investigating its implementation path, practical forms, and mechanism of action in the teaching, practice, and evaluation links of “ideological and political education in curriculum” for French reading. The research content includes three key points: First, a three-tier progressive classroom. Based on the perspectives of teaching tool intelligence, teaching scenario needs, and teaching subject interaction consider the implementation path of AIGC-assisted “major + ideological and political education” classroom progression; second, a three-party collaborative practice. Through the combination of teaching competitions, college students’ innovation and entrepreneurship training activities, and school-enterprise cooperation, create diversified real-life activities to consolidate classroom progression achievements in practice; finally, a four-dimensional evaluation. By integrating the knowledge dimension of disciplines, the digital-intelligent nature of methods, critical-thinking competence, and competence-building case studies, student learning outcomes are evaluated from multiple dimensions.