A systematic literature review: optimization timetable in education to support Work-Life Balance (WLB) / Noorrezam Yusop

Yusop, Noorrezam (2022) A systematic literature review: optimization timetable in education to support Work-Life Balance (WLB) / Noorrezam Yusop. Journal of Computing Research and Innovation (JCRINN), 7 (2): 30. pp. 316-326. ISSN 2600-8793

Abstract

Scheduling academic staff timetables is crucial and necessary to avoid redundancy and clash of class between teacher and student timetables. A good timetable allows students and teachers to manage their time and support a good and healthy lifestyle. However, with the scheduling, academic staff timetable may use many procedures to get efficient results. Therefore, this paper provides a gap of study for existing work on Optimization Timetable to support Work-Life Balance (WLB) regarding their market commercial and research purposes. The methodology of this study was conducted using a Systematic Literature Review (SLR). Result: two findings investigate 1) relevant optimization timetable scheduling used and 2) the method for timetable optimization to support WLB. The strengths and weaknesses of the features and utilities behind each study are also presented to provide a further understanding of the gaps and weaknesses of each body of research. We conclude that these studies are still insufficient and require further evaluation and improvement.

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Item Type: Article
Creators:
Creators
Email / ID Num.
Yusop, Noorrezam
UNSPECIFIED
Subjects: H Social Sciences > HN Social history and conditions. Social problems. Social reform > Quality of life
L Education > LB Theory and practice of education > School administration and organization > Personnel management > Administrative personnel > Time management
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Computer and Mathematical Sciences
Journal or Publication Title: Journal of Computing Research and Innovation (JCRINN)
UiTM Journal Collections: UiTM Journal > Journal of Computing Research and Innovation (JCRINN)
ISSN: 2600-8793
Volume: 7
Number: 2
Page Range: pp. 316-326
Keywords: Timetable optimization, work-life balance, genetic algorithm, swarm intelligence
Date: 2022
URI: https://ir.uitm.edu.my/id/eprint/68997
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