Evaluation of teachers’ information literacy based on information of behavioral data in online learning and teaching platforms: an empirical study of China
ISSN: 0737-8831
Article publication date: 13 July 2021
Issue publication date: 25 August 2023
Abstract
Purpose
Advances 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/approach
First, 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 timeliness analysis dimensions. Second, propensity score matching (PSM) and difference tests were used to analyze the differences between the performance groups with reduced selection bias. Third, to effectively predict the information literacy score of each teacher, four sets of input variables were used for prediction using supervised learning models.
Findings
The results show that the high-performance group performs better than the low-performance group in 6 indicators. In addition, information-based teaching and behavioral research data can best reflect the level of information literacy. In the future, greater in-depth explorations are needed with richer online information behavioral data and a more effective evaluation model to increase evaluation accuracy.
Originality/value
The evaluation based on online information behaviors has concrete application scenarios, positively correlated results and prediction interpretability. Therefore, information literacy evaluations based on behaviors have great potential and favorable prospects.
Keywords
Acknowledgements
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.
Citation
Li, Y., Zhou, C., Wu, D. and Chen, M. (2023), "Evaluation of teachers’ information literacy based on information of behavioral data in online learning and teaching platforms: an empirical study of China", Library Hi Tech, Vol. 41 No. 4, pp. 1039-1062. https://doi.org/10.1108/LHT-01-2021-0034
Publisher
:Emerald Publishing Limited
Copyright © 2021, Emerald Publishing Limited