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PeriodicalsComputer Science & Information Technology

Multi-Agent Adaptive e-Learning System Based on Learning Styles

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Abstract & Overview

Most traditional e-learning system fails to provide the intelligence that a learner may require during their learning process. Different learners have different learning styles but the current e-learning systems are not able to provide personalized learning. In this paper, we discuss how intelligent agents can aid learners in their learning process. Three agents have been developed namely, learner agent, information agent, and tutor agents that will be integrated into a learning management system (Moodle). Learners are provided with a personalized recommendation based on the learning styles.

Cite this record

Faith Ngami Kivuva, Elizaphan M. Maina, Rhoda Gitonga (2021). Multi-Agent Adaptive e-Learning System Based on Learning Styles. Open Journal for Information Technology, 4(1), 1–12. https://doi.org/10.32591/coas.ojit.0401.01001k

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Kivuva, F. N., Maina, E. M., & Gitonga, R. (2021). Multi-Agent Adaptive e-Learning System Based on Learning Styles. Open Journal for Information Technology, 4(1), 1–12. https://doi.org/10.32591/coas.ojit.0401.01001k
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