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Learning anytime, anywhere: a spatio-temporal analysis for online learning

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成果类型:
期刊论文
作者:
Du, Xu;Zhang, Mingyan;Shelton, Brett E.*;Hung, Jui-Long
通讯作者:
Shelton, Brett E.
作者机构:
[Du, Xu; Zhang, Mingyan] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China
[Shelton, Brett E.; Hung, Jui-Long] Boise State Univ, Dept Educ Technol, Boise, ID 83725 USA
通讯机构:
[Shelton, Brett E.] B
Boise State Univ, Dept Educ Technol, Boise, ID 83725 USA.
语种:
英文
关键词:
Online course;spatio-temporal analysis;anytime anywhere;learning performance
期刊:
Interactive Learning Environments
ISSN:
1049-4820
年:
2022
卷:
30
期:
1
页码:
34-48
基金类别:
National Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61877027]; self-determined research funds of CCNU from the colleges' basic research and operation of MOE [CCNU19ZN003]
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:
The study proposes two new measures, time and location entropy, to depict students' physical spatio-temporal contexts when engaged in an online course. As anytime, anywhere access has been touted as one of the most attractive features of online learning, the question remains as to the success of students when engaging in online courses through disparate locations and points-in-time. The procedures describe an analysis of 5293 students' spatio-temporal patterns using metadata relating to place and time of access. Grouping into segments that describe their patterns of engagement, results indicat...

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