Can School Performance be Improved through the Strategic Optimisation of Subject Options Columns?
Society for Learning Analytics Research
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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 of Learning Analytics;
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
Article published in Journal of Learning Analytics on 01 April 2020, available open access at: https://doi.org/10.18608/jla.2020.71.6.
Cardiff Metropolitan University (Grant ID: Cardiff Metropolian (Internal))
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