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Agent-based Classroom Environment Simulation: the Effect of Disruptive Schoolchildren’s Behaviour versus Teacher Control over Neighbours

Alharbi, Kholood; Cristea, Alexandra I.; Shi, Lei; Tymms, Peter; Brown, Chris

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Authors

Khulood Alharbi khulood.o.alharbi@durham.ac.uk
PGR Student Doctor of Philosophy

Lei Shi

Chris Brown



Contributors

Ido Roll
Editor

McNamara Danielle
Editor

Sosnovsky Sergey
Editor

Luckin Rose
Editor

Dimitrova Vania
Editor

Abstract

Schoolchildren's academic progress is known to be affected by the classroom environment. It is important for teachers and administrators to under-stand their pupils' status and how various factors in the classroom may affect them, as it can help them adjust pedagogical interventions and management styles. In this study, we expand a novel agent-based model of classroom interac-tions of our design, towards a more efficient model, enriched with further param-eters of peers and teacher’s characteristics, which we believe renders a more re-alistic setting. Specifically, we explore the effect of disruptive neighbours and teacher control. The dataset used for the design of our model consists of 65,385 records, which represent 3,315 classes in 2007, from 2,040 schools in the UK.

Citation

Alharbi, K., Cristea, A. I., Shi, L., Tymms, P., & Brown, C. (2021). Agent-based Classroom Environment Simulation: the Effect of Disruptive Schoolchildren’s Behaviour versus Teacher Control over Neighbours. In I. Roll, M. Danielle, S. Sergey, L. Rose, & D. Vania (Eds.), Artificial Intelligence in Education Lecture Notes in Computer Science (48-53). https://doi.org/10.1007/978-3-030-78270-2_8

Conference Name Artificial Intelligence in Education
Conference Location Utrecht
Acceptance Date Apr 5, 2021
Online Publication Date Jun 12, 2021
Publication Date 2021
Deposit Date Apr 20, 2021
Publicly Available Date Jun 12, 2022
Volume 12749
Pages 48-53
Series Title Lecture Notes in Computer Science
Series ISSN 0302-9743
Book Title Artificial Intelligence in Education Lecture Notes in Computer Science
ISBN 9783030782696
DOI https://doi.org/10.1007/978-3-030-78270-2_8
Public URL https://durham-repository.worktribe.com/output/1139670

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