@inproceedings{82a6a8f49bc14fc48f33bc27e08145ce,
title = "Performance indicators for online secondary education: A case study",
abstract = "There is little consensus about what variables extracted from learner data are the most reliable indicators of learning performance. The aim of this study is to determine such indicators by taking a wide range of variables into consideration concerning overall learning activity and content processing. A genetic algorithm is used for the selection process and variables are evaluated based on their predictive power in a classification task. Variables extracted from exercise activities turn out to be most informative. Exercises designed to train students in understanding and applying material are found to be especially informative.",
keywords = "Learning analytics, Learning performance indicators",
author = "{van Diepen}, Pepijn and Bert Bredeweg",
note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 28th Benelux Conference on Artificial Intelligence, BNAIC 2016 ; Conference date: 10-11-2016 Through 11-11-2016",
year = "2017",
doi = "10.1007/978-3-319-67468-1_12",
language = "English",
isbn = "9783319674674",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "169--177",
editor = "Bert Bredeweg and Tibor Bosse",
booktitle = "BNAIC 2016",
address = "Germany",
}