数据驱动课堂精准施教关键指标体系构建及应用被引量：6

Research on the Construction and Application of Key Index System for Precise Teaching in Data-driven Classroom

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摘要随着人工智能、物联网和可穿戴技术的发展,多模态数据驱动的课堂精准施教成为新时代教育研究的发展趋势。精准施教的前提是对数据进行规范化处理,对指标进行标准化探索。利用元人种志分析法,整合原始文献归纳出包括41个一级指标、214个二级指标的数据驱动课堂教学初步指标体系;通过两轮专家咨询对指标进行修正,形成由行为数据、生理数据、心理数据、平台数据、环境数据、评价数据、基础数据共七种数据类别,55个一级指标、254个二级指标构成的数据驱动课堂精准施教关键指标框架;在真实课堂环境中应用指标,结果显示:实验班在教师课堂讲授效率与操作实验效果、学生测验成绩、注意力保持时长、课堂发言和笔记质量等方面表现显著优于对照班。基于此提出数据驱动课堂精准施教应结合实际合理选择数据,精细掌控教学过程;将数据分析可视化,精确定位教学问题;利用多模态数据支撑,精准开展教学评价的实施建议。 With the development of artificial intelligence,Internet of things and wearable technology,multimodal data-driven classroom teaching has become the development trend of educational research in the new era.Using meta ethnographic analysis and integrating the original literature,this paper summarizes the preliminary index system of data-driven classroom teaching,including 41 first-class indexes and 214 second-class indexes;Through two rounds of expert consultation,the indicators are revised to form a data-driven key indicator framework for classroom teaching,which is composed of seven data categories:behavior data,physiological data,psychological data,platform data,environmental data,evaluation data and basic data,55 primary indicators and 254 secondary indicators;The results show that the teaching effect of the experimental class is significantly better than that of the control class.Based on this,it is proposed that data-driven classroom teaching should reasonably select data and carefully control the teaching process;Visualize the data analysis and accurately locate teaching issues;Use multimodal data support to accurately carry out teaching evaluation.

作者吴军其任飞翔吴飞燕 WU Junqi;REN Feixiang;WU Feiyan(Central China Normal University,Wuhan Hubei 430079)

机构地区华中师范大学

出处《现代远距离教育》 CSSCI 2023年第2期39-52,共14页 Modern Distance Education

基金 2021年信息化与基础教育均衡发展省部共建协同创新中心重点基金项目“信息化支持的农村教师专业发展研修体系研究”(编号:xtzd2021-007) 华中师范大学2022年“人工智能+教育”教学创新研究项目“基于小雅智慧平台的形成性评价在个性化学习中的应用研究”(编号:2022XY022) 华中师范大学国家教师发展协同创新实验基地人工智能助推教师队伍建设试点专项经费资助项目“人工智能支撑师范生职前职后一体化培养”(编号:CCNUAI&FE2022-04)。

关键词多模态数据课堂教学数据精准教学元人种志 Multimodal Data Classroom Teaching Data Precision Teaching Meta Ethnography

分类号 G43 [文化科学—教育学]