AI助力高校混合式教学的动态评价机制研究——以《C程序设计》课程为例

Research on Dynamic Evaluation Mechanism of AI-Assisted Blended Teaching in Colleges and Universities—A Case Study of the Course “C Programming”

摘要: 在教育数字化转型加速推进的背景下，人工智能(AI)与高校混合式教学的融合成为推动教学创新、提升教学质量的关键路径。本文聚焦AI助力高校教师开展混合式教学的创新机制与实践问题，通过文献研究、问卷调查、案例分析和数据挖掘等方法，系统梳理了AI与混合式教学融合的研究现状与局限。基于“理论奠基–现状洞察–机制构建–实践检验–总结推广”的研究思路，构建了动态评价创新机制，并结合教学实践验证了机制的有效性。研究结果表明，该创新机制能有效提升教学精准度与学生学习体验，为高校教学改革提供了理论支撑与实践范例。

Abstract: Against the backdrop of accelerating digital transformation in education, the integration of Artificial Intelligence (AI) with blended teaching in colleges and universities has emerged as a key pathway to drive pedagogical innovation and enhance teaching quality. This paper focuses on the innovative mechanisms and practical issues surrounding AI-assisted blended teaching implementation by college teachers. Employing methods including literature review, questionnaire surveys, case analysis, and data mining, it systematically synthesizes the current research status and limitations in the integration of AI and blended teaching. Guided by the research framework of “theoretical foundation—status quo insight—mechanism construction—practical verification—summary and promotion”, core innovative mechanisms are established: dynamic learning assessment. The effectiveness of has been validated through teaching practices. Research findings indicate that this innovative mechanism can effectively improve teaching precision and students’ learning experience, thereby providing theoretical support and practical models for teaching reform in higher education institutions.