Can School Enrolment and Performance be Improved by Maximizing Students’ Sense of Choice in Elective Subjects?
DOI:
https://doi.org/10.18608/jla.2020.71.6Keywords:
Options Columns; Student Choice; Optimisation; Graph ColouringAbstract
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.
References
Anders, J., Henderson, M., Moulton, V., & Sullivan, A. (2017). The role of schools in explaining individuals’ subject choices at age 14 (Tech. Rep.). Centre for Longitudinal Studies, Institute of Education, University College London. http://www.cls.ioe.ac.uk/anders.
Burns, J. (2017). School budget squeeze “is reducing pupils’ subject choice”. https://www.bbc.co.uk/news/ education-39527183. BBC.
Cambazard, H., Hebrard, E., O’Sullivan, B., & Papadopoulos, A. (2012). Local search and constraint programming for the post enrolment-based timetabling problem. Annals of Operational Research, 194, 111–135. doi: https://dx.doi.org/10.1007/ s10479-010-0737-7
Donaldson, G. (2015, February). Successful futures: Independent review of curriculum and assessment arrange- ments in Wales. https://www.ewc.wales/site/index.php/en/documents/ite-accreditation/ 802-donaldson-report-successful-futures.html.
Educating Cardiff. (2019). https://www.channel4.com/programmes/educating-cardiff/.
Egeblad, J., & Pisinger, D. (2009). Heuristic approaches for the two- and three-dimensional knapsack packing problem. Computers and Operational Research, 36(4), 1026–1049. doi: https://doi.org/10.1016/j.cor.2007.12.004
Garey, M., & Johnson, D. (1979). Computers and intractability — A guide to NP-completeness. San Francisco: W. H. Freeman and Company.
Hanover Research. (2014, November). Impact of student choice and personalized learning. http://www.gssaweb.org/wp-content/uploads/2015/04/Impact-of-Student-Choice-and-Personalized-Learning-1 .pdf.
Harackiewicz, J., & Hulleman, C. (2010). The importance of interest: The role of achievement goals and task values in promoting the development of interest. Social and Personality Psychology Compass, 4(1), 42–52. doi: https://doi.org/ 10.1111/j.1751-9004.2009.00207.x
Hidi, S. (1990). Interest and its contribution as a mental resource for learning. Review of Educational Research, 60, 549–571. doi: https://doi.org/10.3102%2F00346543060004549
Kirkpatrick, S., Gelatt, C., & Vecchi, M. (1983). Optimization by simulated annealing. Science, 4598, 671–680. doi: https://doi.org/10.1126/science.220.4598.671
Kostuch, P. (2005). The university course timetabling problem with a 3-phase approach. In E. Burke & M. Trick (Eds.), Practice and theory of automated timetabling (PATAT) V (Vol. 3616, pp. 109–125). Berlin: Springer-Verlag.
Lewis, R. (2016). A guide to graph colouring: Algorithms and applications. Springer International Publishing. doi: https://doi.org/10.1007/978-3-319-25730-3
Lewis, R., & Thompson, J. (2015). Analysing the effects of solution space connectivity with an effective metaheuristic for the course timetabling problem. European Journal of Operational Research, 240, 637–648. doi: https://doi.org/10.1016/ j.ejor.2014.07.041
Little, D. (1995). Learning as dialogue: The dependence of learner autonomy on teacher autonomy. System, 23(2), 175–181. doi: https://doi.org/10.1016/0346-251X(95)00006-6
Perea, C., Alcaca, J., Yepes, V., Gonzalez-Vidosa, F., & Hospitaler, A. (2008). Design of reinforced concrete bridge frames by heuristic optimization. Advances in Engineering Software, 39(8), 676–688. doi: https://doi.org/10.1016/ j.advengsoft.2007.07.007
Reality Check team, BBC News. (2018). A-levels: What subjects are students dropping and why? https://www.bbc.co .uk/news/uk-45171371. BBC.
Schiefele, U., Krapp, A., & Winteler, A. (1992). Interest as a predictor of academic achievement: A meta-analysis of research. In K.
Renninger, S. Hidi, & A. Krapp (Eds.), The role of interest in learning and development (pp. 183–221). New York: Psychology Press.
SIMS Options. (2019). https://www.capita-sims.co.uk/products-and-services/sims-options. Yamin-Ali, J. (2014). Data-driven decision-making in schools: Lessons from Trinidad. Palgrave Macmillan.
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