Document Type

Paper

Abstract

Education remains a critical challenge for many countries, with ongoing research seeking to better understand the complex dynamics of learning and teaching. In this paper, we propose an agent-based model to simulate student behavior in the classroom, focusing on the role of introversion and stress in learning and engagement. Our framework models how these psychological factors interact with classroom conditions to shape student experiences. The model was evaluated by an expert and offers a simulation environment to explore the impact of different classroom dynamics on student learning outcomes.

It was presented at AAMAS (24th International Conference on Autonomous Agents and Multiagent Systems) in Detroit, MI on 5/19/25-5/23/25. The work is part of the 6th International Workshop on Autonomous Agents for Social Good (AASG) 2025.

Publication Date

5-23-2025

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