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Learning Analytics Based on Wearable Devices: A Systematic Literature Review From 2011 to 2021

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成果类型:
期刊论文
作者:
Liu, Zhi;Ren, Yupei;Kong, Xi;Liu, Sannyuya
通讯作者:
Yupei Ren
作者机构:
[Liu, Sannyuya; Kong, Xi; Liu, Zhi; Ren, Yupei] Cent China Normal Univ, Natl Engn Lab Educ Big Data, 152 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.
[Liu, Sannyuya] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
通讯机构:
[Yupei Ren] N
National Engineering Laboratory for Educational Big Data, Central China Normal University, Wuhan, Hubei, China
语种:
英文
关键词:
wearable devices;learning analytics;systematic review;physiological signals
期刊:
Journal of Educational Computing Research
ISSN:
0735-6331
年:
2022
卷:
60
期:
6
页码:
1514 - 1557
基金类别:
National Natural Science Foundation of China [62077017, 61937001, 61977030]; Central University Basic Research Fund of China [30106200548, CCNU20TS032]
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:
Wearable devices are an emerging technological tool in the field of learning analytics. With the help of wearable technologies, an increasing number of scholars have a strong interest in studying the associations between student data and learning outcomes in different learning environments. This systematic review examines 120 articles published between 2011 and 2021, exploring current research on learning analytics based on wearable devices in detail from both descriptive and content analysis. The descriptive analysis reviewed the included literature in five dimensions: publication times of th...

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