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Can School Enrolment and Performance be Improved by Maximizing Students’ Sense of Choice in Elective Subjects?
- Source :
- Journal of Learning Analytics; Vol 7 No 1 (2020): Beyond Cognitive Ability: Enabling Assessment of 21st Century Skills Through Learning Analytics ; 75-87
- Publication Year :
- 2020
- Publisher :
- SoLAR, 2020.
-
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 enrol- ment 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.
- Subjects :
- Medical education
Options Columns
Student Choice
Optimisation
Graph Colouring
021103 operations research
Optimization algorithm
Download
Small number
05 social sciences
0211 other engineering and technologies
Learning analytics
050109 social psychology
02 engineering and technology
Personal autonomy
Student choice
Computer Science Applications
Education
Task (project management)
0501 psychology and cognitive sciences
Computational problem
Subjects
Details
- Language :
- English
- ISSN :
- 19297750
- Database :
- OpenAIRE
- Journal :
- Journal of Learning Analytics
- Accession number :
- edsair.doi.dedup.....8ebf59e740134d80c01476b412fce54a