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Assessing cognitive presence in online inquiry-based discussion through text classification and epistemic network analysis

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成果类型:
期刊论文
作者:
Ba, Shen;Hu, Xiao;Stein, David;Liu, Qingtang
通讯作者:
Ba, Shen(woloshen@hku.hk);Liu, Qingtang(liuqtang@mail.ccnu.edu.cn)
作者机构:
[Ba, Shen; Hu, Xiao] Univ Hong Kong, Fac Educ, Hong Kong, Peoples R China.
[Stein, David] Ohio State Univ, Coll Educ & Human Ecol, Columbus, OH 43210 USA.
[Liu, Qingtang] Cent China Normal Univ, Sch Educ Informat Technol, 382 Xiongchu Blvd,Nanhu Complex, Wuhan 430079, Peoples R China.
通讯机构:
[Ba, S.] F
[Liu, Q.] S
School of Educational Information Technology, 382 Xiongchu Blvd, Nanhu Complex, China
Faculty of Education, Room 603C, Meng Wah Complex, Pokfulam, Hong Kong
语种:
英文
关键词:
analytics for assessment;cognitive presence;epistemic network analysis;online discussion;text classification
期刊:
British Journal of Educational Technology
ISSN:
0007-1013
年:
2022
卷:
54
期:
1
页码:
247-266
基金类别:
This study is partially supported by a General Research Fund from the Research Grants Council of Hong Kong SAR, China (No. HKU 17607018) and supported by the National Natural Science Foundation of China (No. 61977035 and No. 72174070).
机构署名:
本校为其他机构
院系归属:
教育信息技术学院
摘要:
Providing coaching to participants in inquiry-based online discussions contributes to developing cognitive presence (CP) and higher-order thinking. However, a primary issue limiting quality and timely coaching is instructors' lack of tools to efficiently identify CP phases in massive discussion transcripts and effectively assess learners' cognitive development. This study examined a computational approach integrating text mining and co-occurrence analysis for assessing CP and cognitive development in online discussions based on the community of...

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