Envisioning Life-Long Learning Skills Report Review On Artificial Intelligence And Machine Learning (AI/ML)

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dc.contributor.authorBoogere, James
dc.contributor.authorEilu, Emmanuel
dc.contributor.authorNakatumba, Joyce
dc.date.accessioned2022-12-01T14:32:01Z
dc.date.available2022-12-01T14:32:01Z
dc.date.issued2020
dc.description.abstractArtificial intelligence and machine learning (AI/ML) are running almost all aspects of our daily lives. However, there is little impact of these recent advancements in AI/ML on the education sector. We highlight issues why education is lagging behind while bearing in mind that education is highly structured and processoriented compared to most of other sectors that are either service or product-oriented. We explore this challenge courtesy of numerous reports such as “The Envisioning Report for Empowering Universities, 2nd edition, April 2018” from two folds: What are the expected benefits? What are the risks and opportunities for public education actors? This desk research recommends natural language processing and/or learning analytics (LA) as a vital technique in fostering individualised visualisation of life-long learning skill.en_US
dc.identifier.citationBoogere, J., Eilu, E., & Nakatumba, J. (2020). Envisioning life-long learning skills report review on artificial intelligence and machine learning (ai/ml). Artificial Life and Robotics, 9(4), 19-26.en_US
dc.identifier.issn2320–088X
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/5629
dc.language.isoenen_US
dc.publisherArtificial Life and Roboticsen_US
dc.subjectartificial intelligenceen_US
dc.subjectmachine learningen_US
dc.subjectlearning scienceen_US
dc.subjectlearning systemsen_US
dc.subjectopen education resourcesen_US
dc.titleEnvisioning Life-Long Learning Skills Report Review On Artificial Intelligence And Machine Learning (AI/ML)en_US
dc.typeArticleen_US
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