人工智能时代大学课堂教学质量评价的困境与突破

The Dilemma and Solution of University Teaching Evaluation in the Age of Artificial Intelligence

教学评价是推动高等教育内涵式发展的基础和核心,人工智能赋能大学课堂教学质量评价,使课堂教学质量评价展现出新的活力,但也滋生出新的问题:评价主体被遮蔽、评价客体被标准化、工具理性作祟、课堂教学质量评价的相关专业人才缺位。对此,提出相应的路径选择:探索个性化评价,推动人机协同评价;采用多元评价,保障评价效果和反馈链;打破工具理性禁锢,回归育人本真;推动专业人才培养,完善评价的技术链。

Teaching evaluation is the foundation and key to promoting the connotative development of higher education.Artificial intelligence has empowered the evaluation of classroom teaching quality,making classroom teaching quality evaluation show new vitality,but it has also bred new problems:the evaluation subject is obscured,the evaluation object is over-standardized,the evaluation tools are over-rational,and there is a lack of professionals for classroom teaching quality evaluation.In view of this,this paper puts forward the corresponding path selection:Explore personalized evaluation and promote man-machine collaborative evaluation,inspire multiple evaluations to ensure evaluation effectiveness and feedback chains,break out of the imprisonment of instrumental rationality and return to the true nature of education,promote the training of professional talents and improve the technical chain of evaluation.