Can school enrolment and performance be improved by maximizing students’ sense of choice in elective subjects?

Rhyd Lewis*, Tom Anderson, Fiona Carroll

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)75-87
Number of pages13
JournalJournal of Learning Analytics
Volume7
Issue number1
DOIs
Publication statusPublished - 1 Apr 2020

Keywords

  • Elective subject selection
  • Graph colouring
  • Optimization
  • Student choice

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