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Autori principali: Olges, Garrett, Cohen, Kelly
Natura: Preprint
Pubblicazione: 2025
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Accesso online:https://arxiv.org/abs/2505.00545
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author Olges, Garrett
Cohen, Kelly
author_facet Olges, Garrett
Cohen, Kelly
contents A crucial skill for primary school teachers is maintaining efficient classroom management. Teachers use classroom seating arrangements to help maintain this efficiency. However, developing classroom seating arrangements is both time-consuming and often non-optimal for distraction mitigation. Fuzzy logic-based approaches for the development of classroom seating arrangements can reduce development time and minimize classroom distraction. In this study, an original fuzzy logic-based software package named "CUB" is introduced and applied to a modern classroom using "cluster" seating arrangements. The combination of fuzzy inference systems, fuzzy c-means clustering, sequential, and iterative processes produce ready-to-use seating arrangements for the classroom in this study. The seating arrangements are compared with an existing set of seating arrangements to validate the results. The author's findings show that CUB is successful in generating applicable seating arrangements with a small liklihood of replicating arrangements. The findings also suggest that fuzz logic-based approaches may be successful in other styles of classroom arrangement.
format Preprint
id arxiv_https___arxiv_org_abs_2505_00545
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Reducing Student Distraction Through Fuzzy Logic Based Seating Arrangements
Olges, Garrett
Cohen, Kelly
Logic in Computer Science
A crucial skill for primary school teachers is maintaining efficient classroom management. Teachers use classroom seating arrangements to help maintain this efficiency. However, developing classroom seating arrangements is both time-consuming and often non-optimal for distraction mitigation. Fuzzy logic-based approaches for the development of classroom seating arrangements can reduce development time and minimize classroom distraction. In this study, an original fuzzy logic-based software package named "CUB" is introduced and applied to a modern classroom using "cluster" seating arrangements. The combination of fuzzy inference systems, fuzzy c-means clustering, sequential, and iterative processes produce ready-to-use seating arrangements for the classroom in this study. The seating arrangements are compared with an existing set of seating arrangements to validate the results. The author's findings show that CUB is successful in generating applicable seating arrangements with a small liklihood of replicating arrangements. The findings also suggest that fuzz logic-based approaches may be successful in other styles of classroom arrangement.
title Reducing Student Distraction Through Fuzzy Logic Based Seating Arrangements
topic Logic in Computer Science
url https://arxiv.org/abs/2505.00545