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作 者:张乐乐 顾小清 ZHANG Lele;GU Xiaoqing(Department of Education Information Technology,Faculty of Education,East China Normal University,Shanghai 200062,China)
机构地区:[1]华东师范大学教育学部教育信息技术学系,上海200062
出 处:《开放教育研究》2022年第6期101-110,共10页Open Education Research
基 金:国家社会科学基金2019年度重大项目“人工智能促进未来教育发展研究”(19ZDA364)。
摘 要:随着人工智能技术、可穿戴传感设备的发展,课堂教学多模态数据的获取和分析成为可能,加速了课堂教学从数字化向智能化的转型升级。本研究聚焦智能时代多模态数据支持的课堂教学行为,在综合课堂教学行为分析要素的基础上,明确了多模态课堂教学行为分析模型的设计原则和设计要素,并设计了多主体协同、多空间融合、多环节融通的多模态课堂教学行为分析模型。为推动多模态课堂教学行为分析的实践应用,本研究从课堂教学、数据采集、智能分析和应用服务四个层面构建了多模态数据支持的课堂教学行为分析实践框架,指出多模态课堂教学行为分析研究需要对课堂教学情境进行智能感知与数据采集,探究课堂教学行为的发生过程,构建基于多模态数据的智能教育服务模式,以期为多模态课堂教学行为分析实践提供理论参考,推动课堂教学质量的稳步发展。With the development of artificial intelligence technology and wearable sensor devices,it is possible to obtain and analyze multimodal data in classroom teaching,accelerating the transformation and upgrading of classroom teaching from digital to intelligent.This research focuses on classroom teaching behavior supported by multimodal data in the intelligent era.Based on the elements of classroom teaching behavior analysis,it clarifies the model design principles and design elements of multimodal classroom teaching behavior analysis,and designs a multimodal classroom teaching behavior analysis model featuring multi-agent collaboration,multi-space integration,and multi-link integration.In order to promote the practical development of multimodal classroom teaching behavior analysis,this study constructs a practical framework for classroom teaching behavior analysis supported by multimodal data from four levels:classroom teaching,data collection,intelligent analysis,and application services.It points out that multimodal classroom teaching behavior analysis research requires intelligent perception and data collection of classroom teaching situations,and explores the occurrence process of classroom teaching behavior.The intelligent education service mode based on multimodal data is constructed to provide theoretical reference for the practical research of multimodal classroom teaching behavior analysis and promote the steady development of classroom teaching quality.
关 键 词:多模态学习分析 智慧课堂 课堂教学行为分析 教学情境 模型 实践框架
分 类 号:G423.04[文化科学—课程与教学论]
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