Can School Performance be Improved through the Strategic Optimisation of Subject Options Columns?
Author
Lewis, Rhydian
Anderson, Tom
Carroll, Fiona
Date
2020-04-01Acceptance date
2020-01-09
Type
Article
Publisher
Society for Learning Analytics Research
ISSN
1929-7750
Metadata
Show full item recordAbstract
This paper explores a system that attempts to maximize high school students’ sense of choice when selecting
elective subjects. We propose that individual schools can tailor the combinations of subjects they offer in order to
maximize the number of prospective students who can study their preferred subjects, potentially increasing enrolment numbers and academic outcomes while also reducing administrative overheads. We analyze the underlying
computational problem encountered in this task and describe a suitable AI-based optimization algorithm that we
have made available for free download. We also discuss some outcomes of using this method on a small number of
case study schools.
Journal/conference proceeding
Journal of Learning Analytics;
Citation
Lewis, R., Anderson, T. and Carroll, F. (2020) 'Can School Enrolment and Performance be Improved by Maximizing Students’ Sense of Choice in Elective Subjects?' Journal of Learning Analytics, 7(1), pp. 75–87. DOI: 10.18608/jla.2020.71.6
Description
Article published in Journal of Learning Analytics on 01 April 2020, available open access at: https://doi.org/10.18608/jla.2020.71.6.
Sponsorship
Cardiff Metropolitan University (Grant ID: Cardiff Metropolian (Internal))
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