Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
语种：
英文
关键词：
social network analysis;emotion density;network structure
期刊：
2018 INTERNATIONAL JOINT CONFERENCE ON INFORMATION, MEDIA AND ENGINEERING (ICIME)
年：
2018
页码：
177-182
会议名称：
International Joint Conference on Information, Media and Engineering (ICIME)
会议时间：
DEC 12-14, 2018
会议地点：
Osaka Univ, Int Joint Lab Knowledge & Media Dynam Educ Fields, Osaka, JAPAN
会议主办单位：
Osaka Univ, Int Joint Lab Knowledge & Media Dynam Educ Fields
会议赞助商：
NE Normal Univ, Int Joint Lab Knowledge & Media Dynam Educ Fields, IEEE Comp Soc Kansai Chapter, Japan Soc Educ Technol, China Assoc Educ Technol, Japan Educ Support Org, Informat Media & Engn Res Inst
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61702207, L1724007]; China Scholarship CouncilChina Scholarship Council [201706775022]; National Key Research and Development Program of China [2017YFB1401303]; Hubei Provincial Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [2018CFB518, 2018CFB404]; self-determined research funds of CCNU from the colleges' basic research and operation of MOE [CCNU18QN009]
机构署名：
本校为第一且通讯机构
院系归属：
国家数字化学习工程技术研究中心
摘要：
In recent years, a growing number of educational researchers are keen to utilize social network analysis (SNA) and emotion detection for exploring collective learning states. Students' emotions and interaction characteristics before the exam typically suggest some significant traces of learning states. In this study, data from the discussion forum of "Chinese legal history" course in a university learning platform was used to investigate evolutionary trends of students' network characteristics and emotion densities (EDs) in the last four weeks before the final exam, as well as visualized the d...
