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Exam scheduling under pandemic conditions: A mathematical model and decision support system

Author

Listed:
  • Kamisli Ozturk, Zehra
  • Gundogan, Huseyin Sercan
  • Mumyakmaz, Emre
  • Kececioglu, Tugra

Abstract

The scheduling of university exams is a complex task that involves various constraints such as administrative limits, pedagogical needs, student volume, and different courses. The emergence of Covid-19 and future pandemics has added new constraints related to infection prevention and contact tracing. To address these challenges, this study proposes a multi-objective mathematical model that considers university resources, reduced classroom occupancy, and minimized student interaction. The model aims to minimize violations of pandemic-related constraints and categorize exams by difficulty. To facilitate scheduling for entire faculties or universities, a Genetic Algorithm based web-based decision support system is developed. With these tools, the study successfully created an optimal schedule for eight departments simultaneously.

Suggested Citation

  • Kamisli Ozturk, Zehra & Gundogan, Huseyin Sercan & Mumyakmaz, Emre & Kececioglu, Tugra, 2024. "Exam scheduling under pandemic conditions: A mathematical model and decision support system," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    • Handle: RePEc:eee:tefoso:v:208:y:2024:i:c:s0040162524004852
    DOI: 10.1016/j.techfore.2024.123687
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