Simulating Learner Communities: A BDI-Based Virtual Student Community
Abstract
The adoption of learning management systems (LMS) has generated large volumes of data, enabling monitoring, assessment, and prediction of learning outcomes to improve platform quality. Traditional LMS evaluation requires repeated, resource-intensive experiments with active learner communities. To overcome these constraints, we propose a Virtual Student Community (VSC) built on a Belief–Desire–Intention (BDI) multi-agent model and the Myers-Briggs Type Indicator (MBTI). The VSC reduces evaluation costs, improves interaction quality, and allows configurable, fine-grained monitoring. In this article, we present an overview of the VSC’s architecture, main compo nents, and preliminary evaluation results.
Keywords
Distributed learning environments, multi-agent system, BDI model, Myers-Briggs Type Indicator (MBTI), simulations, distance education and online learning
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
M. Rhaimi and R. Messoussi, "Simulating Learner Communities: A BDI-Based Virtual Student Community," in Journal of Communications Software and Systems, vol. 22, no. 4, pp. 538-550, August 2026, doi: 10.24138/jcomss-2025-0206
@article{rhaimi2026simulatinglearner,
author = {Rhaimi, Mouhsine and Messoussi, Rochdi},
title = {{Simulating Learner Communities: A BDI-Based Virtual Student Community}},
journal = {Journal of Communications Software and Systems},
month = aug,
year = {2026},
volume = {22},
number = {4},
pages = {538--550},
doi = {10.24138/jcomss-2025-0206},
url = {https://doi.org/10.24138/jcomss-2025-0206}
}