高校教师AI课堂教学能力提升策略研究

Research on Strategies for Enhancing the University Teachers’ Teaching Ability of AI Classroom

摘要: 在人工智能技术推动高等教育从数字化向数智化转型的背景下，高校教师AI课堂教学能力成为重构教学模式、提升育人质量的核心要素。本文以TPACK概念为基础，参考国内外部分大学AI教学经验，探讨了高校教师AI课堂教学能力的关键要素，并指出高校教师AI教学能力发展现状中存在的一些认识误区、技术匹配度不够高以及缺乏对相关道德风险防范意识等问题，提出了更新观念、精准培训、情境支持和政策激励等方面的优化建议，建构“认知–能力–实践–保障”四位一体的能力发展模型，为高校开展AI + 教育教学、培养高质量教师队伍提供一定的理论依据及实践启示。

Abstract: In the context of artificial intelligence (AI) technology driving the transformation of higher education from digitalization to digital-intelligence integration, the AI classroom teaching ability of university teachers has become a core element in reconstructing teaching models and enhancing the quality of education. Based on the TPACK concept and drawing on AI teaching experiences from some universities both domestically and internationally, this paper explores the key elements of AI classroom teaching ability of university teachers. It points out some issues in the current development status of AI teaching ability of university teachers, such as misunderstandings, insufficient technical compatibility, and a lack of awareness of related moral risks. The paper proposes optimization suggestions in terms of updating concepts, precise training, situational support, and policy incentives, and constructs a four-in-one capability development model of “cognition-ability-practice-guarantee”. This provides a theoretical basis and practical insights for universities to carry out AI + education and teaching and cultivate a high-quality teaching team.