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Relationships between Teaching Presence, Connected Classroom Climate, and Deep Learning within the Rotational Synchronous Teaching Model

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成果类型:
期刊论文
作者:
Gong, Di;Yang, Harrison Hao;Wu, Di;Dai, Jinjun
通讯作者:
Harrison Hao Yang
作者机构:
[Gong, Di; Yang, Harrison Hao; Wu, Di] Cent China Normal Univ, Fac Artificial Intelligence Educ, Wuhan, Peoples R China.
[Yang, Harrison Hao] SUNY Coll Oswego, Sch Educ, Oswego, NY 13126 USA.
[Dai, Jinjun] Cent China Normal Univ, Sch Math & Stat, Wuhan, Peoples R China.
通讯机构:
[Harrison Hao Yang] F
Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China<&wdkj&>School of Education, State University of New York at Oswego, Oswego, USA
语种:
英文
关键词:
Connected classroom climate;Deep learning;Teaching presence;Synchronous teaching model;Smart classroom;Higher education
期刊:
Education and Information Technologies
ISSN:
1360-2357
年:
2023
卷:
28
期:
2
页码:
1715-1733
基金类别:
This work was partly supported by the Fundamental Research Funds for the Central University (Cultivation project of excellent doctoral thesis) (2019YBZZ011).
机构署名:
本校为第一机构
院系归属:
数学与统计学学院
摘要:
The rotational synchronous teaching (RST) model has attracted attention as it can increase the teaching presence and connected classroom climate in multiple synchronous classroom learning environments. This paper presents an investigation of the effects of the relationships between college students’ perception of teaching presence, connected classroom climate, and deep learning in RST. A total of 264 valid data sets were collected from 288 first-year college students. Structural equation modeling was employed, showing that teaching presence an...

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