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Investigating online learners’ knowledge structure patterns by concept maps: A clustering analysis approach

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成果类型:
期刊论文
作者:
He, Xiuling;Fang, Jing;Cheng, Hercy N. H.;Men, Qibin;Li, Yangyang
通讯作者:
Jing Fang
作者机构:
[He, Xiuling; Men, Qibin] Cent China Normal Univ, Natl Engn Lab Educ Big Data, Wuhan, Hubei, Peoples R China.
[Fang, Jing; Li, Yangyang] Cent China Normal Univ, Natl Engn Res Ctr Elearning, Wuhan, Hubei, Peoples R China.
[Cheng, Hercy N. H.] Taipei Med Univ, Ctr Gen Educ, Taipei City, Taiwan.
通讯机构:
[Jing Fang] N
National Engineering Research Center for E-learning, Central China Normal University, Wuhan City, China
语种:
英文
关键词:
Knowledge structure;Concept map;Clustering analysis;Online learning;Flipped classroom
期刊:
Education and Information Technologies
ISSN:
1360-2357
年:
2023
卷:
28
期:
9
页码:
11401-11422
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:
A deep understanding of the learning level of online learners is a critical factor in promoting the success of online learning. Using knowledge structures as a way to understand learning can help analyze online students’ learning levels. The study used concept maps and clustering analysis to investigate online learners’ knowledge structures in a flipped classroom’s online learning environment. Concept maps (n = 359) constructed by 36 students during one semester (11 weeks) through the online learning platform were collected as analysis objec...

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