Performance indicators for online secondary education: A case study

Pepijn van Diepen, Bert Bredeweg

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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.

Original languageEnglish
Title of host publicationBNAIC 2016
Subtitle of host publicationArtificial Intelligence - 28th Benelux Conference on Artificial Intelligence, Revised Selected Papers
EditorsBert Bredeweg, Tibor Bosse
PublisherSpringer Verlag
Pages169-177
Number of pages9
ISBN (Print)9783319674674
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event28th Benelux Conference on Artificial Intelligence, BNAIC 2016 - Amsterdam, Netherlands
Duration: 10 Nov 201611 Nov 2016

Publication series

NameCommunications in Computer and Information Science
Volume765
ISSN (Print)1865-0929

Conference

Conference28th Benelux Conference on Artificial Intelligence, BNAIC 2016
CountryNetherlands
CityAmsterdam
Period10/11/1611/11/16

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