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Evaluation of teachers’ information literacy based on information of behavioral data in online learning and teaching platforms: an empirical study of China

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成果类型:
期刊论文
作者:
Li, Yating;Zhou, Chi;Wu, Di;Chen, Min
作者机构:
[Li, Yating] National Engineering Laboratory for Educational Big Data, Central China Normal University, Wuhan, China
[Zhou, Chi; Wu, Di; Chen, Min] National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China
语种:
英文
关键词:
Teachers’ information literacy;Information literacy evaluation;Online information behavior;Online learning and teaching platform;Process evaluation;Supervised learning models
期刊:
LIBRARY HI TECH
ISSN:
0737-8831
年:
2023
卷:
41
期:
4
页码:
1039-1062
基金类别:
This research was supported by the National Natural Science Foundation of China under Grant No. 61907018, the Humanities and Social Science Foundation of the Ministry of Education of China under Grant No. 18YJC880005 and the China Postdoctoral Science Foundation under Grant No. 2020M682453.
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:
PurposeAdvances in information technology now permit the recording of massive and diverse process data, thereby making data-driven evaluations possible. This study discusses whether teachers’ information literacy can be evaluated based on their online information behaviors on online learning and teaching platforms (OLTPs).Design/methodology/approachFirst, to evaluate teachers’ information literacy, the process data were combined from teachers on OLTP to describe nine third-level indicators from the richness, diversity, usefulness and timeline...

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