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作 者:王梦珂 陈增照[1] 石雅文 王卓[1] WANG Meng-Ke;CHEN Zeng-Zhao;SHI Ya-Wen;WANG Zhuo(Faculty of Artificial Intelligence,Central China Normal University,Wuhan,Hubei,China 430079)
机构地区:[1]华中师范大学人工智能学部,湖北武汉430079
出 处:《现代教育技术》2024年第9期91-101,共11页Modern Educational Technology
基 金:2021年国家自然科学基金“教师课堂非言语行为的量化计算与教学效果评价研究”(项目编号:62077022);2024年华中师范大学国家教师发展协同创新实验基地建设专项研究“多模态教师研修自动评价方法与技术研究”(项目编号:CCNUTEIII 2024-01)资助。
摘 要:评价和反馈互动教学质量,既是开展教学诊断、促进教师发展的重要方式,也是落实发展性评价理念的有益实践。然而,传统的互动教学评价往往忽视了教学过程中的多模态信息,存在分析不全面、不准确且耗时费力的问题。基于此,文章设计了智能技术支持的多模态互动教学评价框架,分为指标层、数据层、技术层、结果层和应用层,并从互动范围、互动参与度、互动亲密度、互动公平性、互动深度五个维度评价互动教学的质量。为了检验此评价框架的应用效果,文章以10个教学录像为样本,进行了多模态互动教学评价结果和专家模糊评价结果的相关性分析,验证了智能技术支持的多模态互动教学评价框架能够有效反映互动教学的质量。文章的研究为互动教学评价提供了一种更加全面、准确且高效的工具,并为推动教学诊断和教师专业发展、落实发展性评价理念提供了有力支持。Evaluation and feedback of interactive teaching quality is not only an important approach to carry out teaching diagnosis and promote teachers’development,but also a beneficial practice to implement the developmental evaluation concept.However,the traditional interactive teaching evaluation often ignores the multimodal information in the teaching process,and there exist problems of incomplete,inaccurate,and time-consuming analysis.Based on this,the multimodal interactive teaching evaluation framework supported by intelligent technology was designed,which was divided into five layers of indicator layer,data layer,technology layer,result layer,and application layer,and could evaluate the quality of interactive teaching from five dimensions of interaction scope,interaction participation,interaction intimacy,interaction fairness,and interaction depth.In order to examine the application effect of this evaluation framework,the paper conducted the correlation analysis on the results of multimodal interactive teaching evaluation and expert fuzzy evaluation by taking 10 teaching videos as samples,confirming that the multimodal interactive teaching evaluation framework supported by intelligent technology can effectively reflect the quality of interactive teaching.The research in this paper provided a more comprehensive,accurate,and efficient tool for interactive teaching evaluation,offered strong support for promoting teaching diagnosis and teachers’professional development,and implementing the developmental assessment concept.
关 键 词:多模态互动教学 智能技术 教学录像 行为识别 教学诊断
分 类 号:G40-057[文化科学—教育学原理]
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