@inproceedings{fab7ef9fe2f5492eb0474e7d225ccc4a,
title = "A systematic review of studies on predicting student learning outcomes using learning analytics",
abstract = "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.",
keywords = "Learning context, Learning outcomes, Methods, Performances, Prediction, Systematic review",
author = "Xiao Hu and Cheong, \{Christy W.L.\} and Wenwen Ding and Michelle Woo",
note = "Publisher Copyright: {\textcopyright} 2017 ACM.; 7th International Conference on Learning Analytics and Knowledge, LAK 2017 ; Conference date: 13-03-2017 Through 17-03-2017",
year = "2017",
month = mar,
day = "13",
doi = "10.1145/3027385.3029438",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "528--529",
booktitle = "LAK 2017 Conference Proceedings - 7th International Learning Analytics and Knowledge Conference",
}