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人机协同智能课堂教学评价层级模型构建研究

Research on a Human-AI Collaborative Hierarchical Model for Intelligent Classroom Teaching Evaluation
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摘要 智能技术的快速发展为大规模、常态化、实时化的课堂教学评价提供了可能,融合生成式人工智能(generative artificial intelligence,GenAI)的深层次人机协同课堂教学评价是未来发展的必然趋势。研究在分析课堂教学评价范式变迁和实践工具发展的基础上,基于循证教学评价层级塔,结合评价回归育人本质关注教学理念、融合GenAI推动评价工具革新、基于混合智能促进人机协同三个视角,构建了以教学法为核心,包括“行为—认知—情感—智慧”四个层级,以及融合实时分析与循证反思、明确协同边界以实现人机深度互补两条原则的人机协同智能课堂教学评价模型。进一步,研究基于该模型,对国内六款典型智能教学评价工具展开了分析。研究发现,现有工具在行为层量化成熟但缺乏关联,认知层结构精细但缺乏动态建模,情感层技术初级且严重缺失,智慧层缺乏关注的特点,并在实时分析、人机协同的深入度和分析报告的可理解性和指导性方面仍需加强。面向快速变革的人工智能时代,智能课堂评价亟须深化育人理念指导下的系统性评价变革,推动评价逻辑从“技术工具依赖”转向“育人本质回归”,依托人机协同实现评价范式从数据驱动到价值共创的跃迁。 The rapid development of intelligent technologies has made large-scale,continuous,and real-time classroom evaluation feasible.Deep human-machine collaborative evaluation integrated with AIGC is widely expected to shape future practice.Building on an analysis of the paradigm shift in classroom evaluation and the evolution of practical tools,this study proposes a hierarchical model for human-AI collaborative intelligent classroom evaluation.The model is grounded in an evidence-based evaluation hierarchy,and is anchored in three ideas:foregrounding the essence of education,integrating AIGC to innovate evaluation tools,and advancing human-AI collaboration through hybrid intelligence.Centered on pedagogy,the model comprises levels of behavior,cognition,emotion,and wisdom.Its implementation concerns about evidence-based reflection from real-time analytics,and deep human-AI complementarity by defining clear collaboration boundaries.Guided by the model,we examined six representative intelligent classroom evaluation tools used in China.We find that these tools are mature but lack interconnection at the behavioral level,detailed yet limited in dynamic modelling at the cognitive level,rudimentary at the emotion level,and underdeveloped at the wisdom level.Also,we noted that improvements are needed in real-time analytics,the depth of human-AI collaboration,and the interpretability and actionability of evaluation reports.In an era of rapid AI-driven change,intelligent classroom evaluation requires a systemic transformation underpinned by educational philosophy,the evaluation logic should shift from technological dependence to educational essence,and the evaluation paradigm should evolve from data-driven processes to value co-creation through human-AI collaboration.
作者 王志军 龙帅 张吉 Wang Zhijun;Long Shuai;Zhang Ji(School of Education,Jiangnan University,Wuxi Jiangsu 214122;School of Humanities,Jiangnan University,Wuxi Jiangsu 214122;Liangxi District Teacher Development Center,Wuxi Jiangsu 214122)
出处 《远程教育杂志》 北大核心 2025年第5期32-40,共9页 Journal of Distance Education
基金 国家社科基金2025年度全国教育科学规划一般课题“人工智能时代教师实践性创生与传播研究”(项目编号:BCA250061)的研究成果。
关键词 智能课堂教学评价 人机协同 生成式人工智能 教学智慧 情感分析 教育理念变革 Intelligent classroom evaluation Human-machine collaboration Generative artificial intelligence Teaching wisdom Emotion analysis Educational philosophy reform
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