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Is learning anytime, anywhere a good strategy for success? Identifying successful spatial-temporal patterns of on-the-job and full-time students

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成果类型:
期刊论文
作者:
Du, Xu;Yang, Juan;Shelton, Brett;Hung, Jui-Long
通讯作者:
Yang, J
作者机构:
[Du, Xu; Yang, Juan] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
[Shelton, Brett; Hung, Jui-Long] Boise State Univ, Dept Educ Technol, Boise, ID 83725 USA.
[Hung, Jui-Long] Cent China Normal Univ, Natl Engn Lab Educ Big Data, Wuhan, Hubei, Peoples R China.
通讯机构:
[Yang, J ]
Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
语种:
英文
关键词:
Online learning;Student performance;Entropy analysis;Full-time;students;On-the-job students;Spatial-temporal patterns
期刊:
Information Discovery and Delivery
ISSN:
2398-6247
年:
2019
卷:
47
期:
4
页码:
173-181
机构署名:
本校为第一且通讯机构
院系归属:
教育信息技术学院
国家数字化学习工程技术研究中心
摘要:
Purpose: Online learning is well-known by its flexibility of learning anytime and anywhere. However, how behavioral patterns tied to learning anytime and anywhere influence learning outcomes are still unknown. Design/methodology/approach: This study proposed concepts of time and location entropy to depict students’ spatial-temporal patterns. A total of 5,221 students with 1,797,677 logs, including 485 on-the-job students and 4,736 full-time students, were analyzed to depict their spatial-temporal learning patterns, including the relationships ...

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