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From data to action: how AI and learning analytics are shaping the future of distance education

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dc.contributor.authorDias, João Tiago
dc.contributor.authorSantos, Arnaldo
dc.contributor.authorSão Mamede, Henrique
dc.date.accessioned2026-02-18T14:56:19Z
dc.date.available2026-02-18T14:56:19Z
dc.date.issued2025en_US
dc.date.updated2026-02-16T19:32:53Z
dc.description.abstractThis chapter examines how Artificial Intelligence (AI) and Learning Analytics (LA) are transforming distance education, accelerated by the COVID-19 shift to e-learning. By using data from Learning Management Systems (LMS), these technologies can personalize learning, improve student retention, and automate tasks. AI, particularly machine learning, enables dynamic adaptation to student needs, while LA provides valuable insights for informed instructional decisions. However, ethical concerns, including data privacy and algorithmic bias, must be addressed to ensure equitable access and fair learning outcomes. The future of distance learning lies in responsible integration of AI and LA, creating immersive and inclusive educational experiences.por
dc.description.versionN/A
dc.identifier.authenticusidP-018-H9Gen_US
dc.identifier.doi10.4018/979-8-3693-7195-4.ch010en_US
dc.identifier.eid2-s2.0-105005124155en_US
dc.identifier.slugcv-prod-4481429
dc.identifier.urihttp://hdl.handle.net/10400.2/21343
dc.language.isoeng
dc.peerreviewedyes
dc.rights.uriN/A
dc.subjectArtificial Intelligence (AI)
dc.subjectLearning Analytics (LA)
dc.subjectDistance education
dc.subjectPersonalized learning
dc.subjectE-learning
dc.subjectLearning Management Systems (LMS)
dc.subjectEducational Data Mining (EDM)
dc.subjectIntelligent tutoring systems
dc.subjectPredictive analytics
dc.titleFrom data to action: how AI and learning analytics are shaping the future of distance educationeng
dc.typebook parten_US
dspace.entity.typePublication
oaire.citation.titleHow AI and Learning Analytics Are Shaping the Future of Distance Educationen_US
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameDias
person.familyNameSantos
person.familyNameSão Mamede
person.givenNameJoão Tiago
person.givenNameArnaldo
person.givenNameHenrique
person.identifierhttps://scholar.google.pt/citations?user=ik_0xPkAAAAJ&hl=pt-PT
person.identifierR-002-0P0
person.identifier.ciencia-id3211-438A-A256
person.identifier.ciencia-id7F17-9DAD-C007
person.identifier.orcid0000-0002-0686-7540
person.identifier.orcid0000-0001-5139-6728
person.identifier.orcid0000-0002-5383-9884
person.identifier.scopus-author-id36458782500
rcaap.cv.cienciaid3211-438A-A256 | Arnaldo Manuel Pinto dos Santos
rcaap.rightsopenAccessen_US
relation.isAuthorOfPublication38352ca0-9c16-410e-afb8-0bd691cd3c6c
relation.isAuthorOfPublicationb40e1515-a3da-429d-83f6-717be6d9f30d
relation.isAuthorOfPublication86fd6131-eed5-42be-9639-9466ddf680ab
relation.isAuthorOfPublication.latestForDiscoveryb40e1515-a3da-429d-83f6-717be6d9f30d

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UAb | CiênciaVitae | Informática e Sistemas de Informação