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An EEG study on college students’ attention levels in a blended computer science class

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成果类型:
期刊论文
作者:
Tang, Hengtao;Dai, Miao;Du, Xu;Hung, Jui-Long;Li, Hao
通讯作者:
Du, X.;Dai, M.
作者机构:
[Tang, Hengtao] Univ South Carolina, Dept Educ Studies, Columbia, SC USA.
[Dai, Miao; Li, Hao; Du, Xu] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
[Hung, Jui-Long] Cent China Normal Univ, Natl Engn Lab Educ Big Data, Wuhan, Hubei, Peoples R China.
[Hung, Jui-Long] Boise State Univ, Dept Educ Technol, Boise, ID USA.
通讯机构:
[Dai, M.; Du, X.] N
National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, Hubei, China<&wdkj&>National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, Hubei, China
语种:
英文
关键词:
Electroencephalography (EEG);attention;blended learning;computer science;higher education
期刊:
Innovations in Education and Teaching International
ISSN:
1470-3297
年:
2023
基金类别:
This paper was supported by the Large-Scale Longitudinal and Cross-Sectional Study of Student Development(2021YFC3340803) and CCNU Teaching Education Innovation Research Project (CCNUTEIII 2021-18).
机构署名:
本校为其他机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
Blended learning has been widely integrated in college-level computer science education. Despite evidence about benefits of blended learning, students’ in-class activities remain underexplored. To afford effective blended learning experience, supporting students in both modalities is essential. This study thus took an initial step to fill the gap by investigating college students’ in-class activities in a blended course from the perspective of attention. Using non-intrusive electroencephalography (EEG) instruments to collect attentional data,...

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