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Automated detection of emotional and cognitive engagement in MOOC discussions to predict learning achievement

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成果类型:
期刊论文
作者:
Liu, Sannyuya;Liu, Shiqi;Liu, Zhi;Peng, Xian;Yang, Zongkai
通讯作者:
Zongkai Yang
作者机构:
[Yang, Zongkai; Liu, Sannyuya; Liu, Zhi; Liu, Shiqi; Peng, Xian] Cent China Normal Univ, Fac Artificial Intelligence Educ, Natl Engn Lab Educ Big Data, Wuhan, Peoples R China.
[Yang, Zongkai; Liu, Sannyuya; Liu, Zhi; Peng, Xian] Cent China Normal Univ, Fac Artificial Intelligence Educ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China.
通讯机构:
[Zongkai Yang] N
National Engineering Laboratory for Educational Big Data, Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, People's Republic of China<&wdkj&>National Engineering Research Center for E-Learning, Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, People's Republic of China
语种:
英文
关键词:
21st century abilities;Cooperative/collaborative learning;Data science applications in education;Distance education and online learning;Evaluation methodologies
期刊:
Computers & Education
ISSN:
0360-1315
年:
2022
卷:
181
页码:
104461
基金类别:
This work was supported by the National Natural Science Foundation of China (Grant Nos. 61977030, 62077017, 61937001, 62107016), the Humanities and Social Sciences Foundation of the Ministry of Education (Grant No. 21YJC880057), the Hubei Provincial Natural Science Foundation of China (Grant No. 2021CFB140), and the Self-determined Research Funds of CCNU from the Colleges’ Basic Research and Operation of MOE Fundamental Research Funds of the Central Universities (Grant Nos. CCNU20TS032, Credit author statement Dr. Sannyuya Liu: Writing – original draft, Conceptualization, Supervision, Mr. Shiqi Liu: Writing – original draft, Writing – review & editing, Methodology, Dr. Zhi Liu: Methodology, Resources, Writing – original draft, Dr. Xian Peng: Writing – review & editing, Methodology, Writing – original draft, Dr. Zongkai Yang: Project administration, acquisition, Supervision.
机构署名:
本校为第一机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
In the MOOC forum discussions, emotional and cognitive engagement are two prominent aspects of learning engagement. Moreover, emotional and cognitive engagement have an interactive relationship and can jointly predict learning achievement. However, these interwoven relationships have not been thoroughly explored. Furthermore, the limitations on detection methods for emotional and cognitive engagement have hindered the practice and theory progress. This study aimed to develop a novel text classification model to automatically detect emotional an...

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