Using an Evolutionary Algorithm to Determine the Student-to-Proctor Ratio in Exam Scenarios

2025
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Authors: Pablo León Alazraki Salas; Andrés Gómez de Silva Garza
Published in: Intelligent Technology for Educational Applications
Publisher: Springer Nature Singapore

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Abstract

This chapter explores the use of a multi-objective evolutionary algorithm to determine the optimal student-to-proctor ratio in exam scenarios. The study investigates how multiple monitoring observers influence student behavior and cheating incentives. Through extensive simulations, the authors derive a heuristic for the number of teachers required based on classroom size, aiming to minimize cheating incidents. The research also examines the impact of different seating arrangements and the number of generations in the evolutionary algorithm on the results. The findings provide a practical rule of thumb for educational institutions to optimize proctoring resources effectively. The study concludes with a discussion on the implications of the results and suggestions for future research, including the potential for dynamic teacher behavior and spatial components in exam monitoring.

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Title: Using an Evolutionary Algorithm to Determine the Student-to-Proctor Ratio in Exam Scenarios
Authors: Pablo León Alazraki Salas
Andrés Gómez de Silva Garza
Publisher: Springer Nature Singapore
Book: Intelligent Technology for Educational Applications
Print ISBN: 978-981-9520-10-7

Electronic ISBN: 978-981-9520-11-4

Copyright Year: 2025
DOI: https://doi.org/10.1007/978-981-95-2011-4_19

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