A Systematic Review of Studies on Predicting Student Learning Outcomes Using Learning Analytics

被引：13
|
作者：
Hu, Xiao [1 ]
Cheong, Christy W. L. [2 ]
Ding, Wenwen [1 ]
Woo, Michelle [1 ]
机构：
[1] Univ Hong Kong, Fac Educ, Pokfulam, Hong Kong, Peoples R China
[2] Macao Polytech Inst, Rua Luis Gonzaga, Macau, Peoples R China
来源：
SEVENTH INTERNATIONAL LEARNING ANALYTICS & KNOWLEDGE CONFERENCE (LAK'17) | 2017年
关键词：
Systematic review; prediction; methods; performances; learning outcomes; learning context;
D O I：
10.1145/3027385.3029438
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Predicting student learning outcomes is one of the prominent themes in Learning Analytics research. These studies varied to a significant extent in terms of the techniques being used, the contexts in which they were situated, and the consequent effectiveness of the prediction. This paper presented the preliminary results of a systematic review of studies in predictive learning analytics. With the goal to find out what methodologies work for what circumstances, this study will be able to facilitate future research in this area, contributing to relevant system developments that are of pedagogic values.
引用
收藏
页码：528 / 529
页数：2
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