摘要
针对双师教学中远程授课名师对本地学生的学习情感感知不足、授课成效不佳等问题,文章提出通过融合情感计算和大数据分析等方法,构建多空间融合视域下多模态情感分析的理论框架,探索基于多模态数据融合的学生学习情感识别与智能评估,挖掘基于时序“学习情感-空间”联合建模的学生群体情感演化机理。在此基础上,建立多模态情感分析教育应用平台,分析基于原型系统的教学验证及干预方案。文章期望通过研究双师课堂中多模态学习情感分析的关键问题、逻辑理路与实施路线,揭示学生在双师教学视域下的学生情感发展机制,拓展学生群体情感的干预实践,为“双师”课后教研提供技术支撑与行动指南。
As for the problems of insufficient perception of local students’learning sentiment and poor teaching results by famous remote teachers in dual-teacher teaching,this paper proposed to construct the theoretical framework for the analysis of multi-modal sentiment under the perspective of multi-space fusion,explore the recognition and intelligent evaluation of students’learning sentiment based on multi-modal data fusion,and excavate students’sentiment evolution mechanism based on sequential joint modeling of learning sentiment-space,through fusing affective computing and big data analysis.Based on this,the education application platform of multi-modal sentiment analysis was constructed,and the teaching validation and intervention scheme based on the prototype system were analyzed.Through analyzing the key issues,logic lines and implementation routes of multi-modal sentiment in dual-teacher teaching,it was expected to reveal students’learning sentiment development mechanism in a dual-teacher classroom,expand the intervention practice of student group sentiment,and provide technical support and action guidelines for after-school teaching and research of“dual-teacher”classroom.
作者
蒋艳双
崔璨
逯行
祁彬斌
包昊罡
JIANG Yan-shuang;CUI Can;LU Hang;QI Bin-bin;BAO Hao-gang(National Engineering Research Center of Cyberlearning and Intelligent Technology,Beijing Normal University,Beijing,China 100875;Teaching and Research Support Center,Dalian Naval Academy of the PLA,Dalian,Liaoning,China 116018;Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province,Zhejiang Normal University,Jinhua,Zhejiang,China 321004;Institute of Basic Education,National Institute of Education Sciences,Beijing,China 100088)
出处
《现代教育技术》
CSSCI
2022年第4期13-20,共8页
Modern Educational Technology
基金
北京市教育科学“十四五”规划2021年度青年专项课题“双师教学场域中的学生情感氛围动力学模型研究”(项目编号:CECA21109)的阶段性研究成果。
关键词
双师课堂
情感计算
多模态数据融合
学习分析
dual-teacher classroom
affective computing
multi-modal data fusion
learning analytics
