2020
DOI: 10.1007/978-3-030-58942-4_19
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Optimizing Student Course Preferences in School Timetabling

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Cited by 7 publications
(3 citation statements)
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“…Most programs were delivered weekly, with sessions not longer than an hour in duration and program length at least 10 sessions. It is possible that these features exist for more practical reasons (e.g., to fit within complex school timetables and optimise student attention and concentration; Hoshino & Fabris 2020;Williams & Williams, 2011), rather than specifically to enhance program effectiveness.…”
Section: Limitations and Future Directionsmentioning
confidence: 99%
“…Most programs were delivered weekly, with sessions not longer than an hour in duration and program length at least 10 sessions. It is possible that these features exist for more practical reasons (e.g., to fit within complex school timetables and optimise student attention and concentration; Hoshino & Fabris 2020;Williams & Williams, 2011), rather than specifically to enhance program effectiveness.…”
Section: Limitations and Future Directionsmentioning
confidence: 99%
“…Exact approaches have sometimes been incorporated into approximate solution approaches such as matheuristics (Méndez-Díaz et al, 2016). Constraint-based approaches have also been used for university timetabling problems (Müller and Murray, 2010;Hoshino and Fabris, 2020).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Thepphakorn and Pongcharoen (2020) proposed a hybrid cuckoo search approach to solve the course timetabling at the Faculty of Engineering, Naresuan University. Hoshino and Fabris (2020) used an ILP-based model to solve the PE-CTT at a Canadian high school. All these works consider SSP as a subproblem with variants depending on the institution's requirements.…”
Section: Literature Reviewmentioning
confidence: 99%