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Tracking the dynamics of SPOC discussion forums: a temporal emotion-topic modeling approach

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成果类型:
会议论文
作者:
Liu, Zhi*;Ruedian, Sylvio;Yang, Chongyang;Sun, Jianwen(孙建文);Liu, Sannyuya
通讯作者:
Liu, Zhi
作者机构:
[Sun, Jianwen; Liu, Sannyuya; Liu, Zhi; Yang, Chongyang] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
[Ruedian, Sylvio] Humboldt Univ, Dept Comp Sci, Berlin, Germany.
通讯机构:
[Liu, Zhi] C
Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
语种:
英文
关键词:
Small Private Online Courses (SPOCs);discussion forum;topic model;emotion analysis;evolutionary trends
期刊:
2018 SEVENTH INTERNATIONAL CONFERENCE OF EDUCATIONAL INNOVATION THROUGH TECHNOLOGY (EITT 2018)
ISSN:
2168-944X
年:
2018
页码:
174-179
会议名称:
2018 Seventh International Conference of Educational Innovation through Technology (EITT)
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61702207, L1724007]; Hubei Provincial Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [2018CFB518, 2018CFB404]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [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:
Small private online courses (SPOCs) have drawn widespread attention due to their adaptability to blended learning in formal education. As a type of interactive tool, many SPOC forums have stored rich textual data including focused learning content and feedback. However, currently, this information is used mainly for measuring students' activity levels instead of academic emotion and their evolutionary trends throughout a teaching period. This paper presents an unsupervised forum understanding model, namely the temporal emotion-topic model (TETM), to model time jointly with emotions and topics...

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