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Integrating Artificial Intelligence in Open, Distance, and e-Learning (ODeL): A Systematic Literature Review

dc.contributor.authorChahira, Joseph Mbugua
dc.contributor.authorMarangu, David Kaimenyi
dc.date.accessioned2025-09-23T23:58:11Z
dc.date.available2025-09-23T23:58:11Z
dc.date.issued2025
dc.identifier.issn2319–8656
dc.identifier.uri10.7753/IJCATR1405.1003
dc.identifier.urihttp://repository.mut.ac.ke:8080/xmlui/handle/123456789/6653
dc.description.abstractArtificial Intelligence (AI) is increasingly transforming Open, Distance, and e-Learning (ODeL) by enhancing personalization, automating assessments, and enabling immersive learning environments. This study employs a Systematic Literature Review (SLR) to explore AI's current role, applications, and challenges within ODeL from 2019 to 2024. Grounded in the Diffusion of Innovations Theory (DIT) and the Technology Acceptance Model (TAM), the study identifies key AI applications such as intelligent tutoring systems, predictive analytics, affective computing, and AI-driven virtual reality. Despite these advancements, AI adoption in ODeL remains limited due to ethical concerns, digital inequality, lack of empirical evidence, and insufficient faculty training. The study underscores the need for inclusive strategies, robust ethical frameworks, and professional development to support sustainable AI integration in ODeL environments.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Computer Applications Technology and Researchen_US
dc.subjectArtificial Intelligence, Open, Distance and e-Learning (ODeL), Systematic Literature Review, Technology Acceptance Model, Diffusion of Innovations Theory.en_US
dc.titleIntegrating Artificial Intelligence in Open, Distance, and e-Learning (ODeL): A Systematic Literature Reviewen_US
dc.typeArticleen_US


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