Multi-Agent Adaptive E-Learning System Based On Learning Styles

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dc.contributor.authorKivuva, Faith Ngami
dc.contributor.authorMaina, Elizaphan
dc.date.accessioned2023-04-17T08:49:12Z
dc.date.available2023-04-17T08:49:12Z
dc.date.issued2021
dc.descriptionArticleen_US
dc.description.abstractMost 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 elearning 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.en_US
dc.description.sponsorshipThe Kenyatta University Vice-Chancellor’s research grant 2016/2017.en_US
dc.identifier.citationKivuva, F. N., Maina, E., & Gitonga, R. (2021). Multi-Agent Adaptive e-Learning System Based on Learning Styles. Open Journal for Information Technology, 4(1), 1.en_US
dc.identifier.issn2620-0627
dc.identifier.urihttp://ir-library.ku.ac.ke/handle/123456789/25214
dc.language.isoenen_US
dc.publisherCenter for Open Access in Scienceen_US
dc.subjectpersonalized feedbacken_US
dc.subjectMoodleen_US
dc.subjectintelligent agentsen_US
dc.subjectlearning stylesen_US
dc.subjectrecommedationen_US
dc.titleMulti-Agent Adaptive E-Learning System Based On Learning Stylesen_US
dc.typeArticleen_US
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