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

作者：Yating Li, &Chi Zhou, &Di Wu, &Min Chen*

出版刊物：《Library Hi Tech》

出版时间：2020年7月1日

内容摘要：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 literacycan 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.Inaddition,information-based teaching and behavioral research data can best reflec tthe 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.