生成式AI赋能《大学生心理健康教育》课程 教学改革的设计研究

Generative AI-Empowered Instructional Design Research for the Reform of “Mental Health Education for University Students” Course

摘要: 大学生心理健康教育是高校人才培养的重要环节，但当前《大学生心理健康教育》课程普遍面临内容同质化、体验浅层化与支持“一刀切”等现实困境。生成式人工智能(Generative AI)以其情境模拟、个性交互与动态生成能力，为破解上述困境提供了创新路径。研究系统分析了生成式AI融入心理健康教育的必然性与应用前景，提出涵盖教学内容重构、课堂模式创新与个性化支持机制建设的“三维一体”改革路径，并明确了拟解决的问题、改革目标、特色亮点、预期成效及潜在挑战。研究强调以“心理育人”为本位，构建“心理 + 德育 + 智能”融合的轻量化、可推广教学新范式，旨在提升课程的时代适应性与育人实效，促进学生心理健康素养与数字伦理意识的协同发展。

Abstract: University mental health education constitutes a vital component of talent cultivation within higher education, yet the current course on “Mental Health Education for University Students” commonly face significant challenges, including content homogenization, superficial learning experiences, and uniform, “one-size-fits-all” support strategies. Generative artificial intelligence (Generative AI), with its capabilities for contextual simulation, personalized interaction, and dynamic content generation, offers a promising avenue to address these challenges and enhance teaching effectiveness. This study systematically explores the necessity and potential of integrating Generative AI into mental health education and proposes a comprehensive “three-dimensional integrated” reform framework, encompassing curriculum reconstruction, innovative classroom models, and the establishment of personalized support mechanisms. The framework articulates the specific problems to be addressed, the objectives of the reform, distinctive methodological features, expected outcomes, and potential implementation challenges. Anchored in a “psychologically informed education” philosophy, the framework advocates a lightweight, scalable, and widely applicable teaching paradigm that integrates “psychology + ideological education + intelligent technologies”. By doing so, it aims to improve the curriculum’s relevance in the contemporary era, enhance educational effectiveness, and promote the synergistic development of students’ mental health literacy alongside their awareness of digital ethics.