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Enhancing MILAGE LEARN+ with Machine Learning to improve students’ performance

2025-08-07Comunicação em conferência Acesso restrito
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datacite.subject.sdg04:Educação de Qualidade
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg10:Reduzir as Desigualdades
dc.contributor.authorFigueiredo, Mauro
dc.contributor.authorrodrigues, jose
dc.contributor.authorMartins, Paula Ventura
dc.contributor.authorZacarias, Marielba
dc.contributor.authorMilharó, Daniela
dc.date.accessioned2026-05-11T16:57:03Z
dc.date.available2026-05-11T16:57:03Z
dc.date.issued2025-08-07
dc.description.abstractStudents currently attending school were born after the year 2000 and have grown up surrounded by technology, including smartphones, tablets, the Internet, video games, and social media. Typically, conventional educational activities in schools fail to engage these students, leading many of them to struggle academically. This paper presents the strategy adopted by the free MILAGE LEARN+ platform to address these challenges. Artificial Intelligence supports learning personalization by recommending suitable activities tailored to each student’s individual needs, enabling both lower-performing and higherperforming learners to enhance their academic progress. This paper investigates how Artificial Intelligence, specifically through various machine learning methods, can enrich the learning experience offered by the MILAGE LEARN+ platform. Several machine learning approaches are evaluated and analysed based on data from the platform and student outcomes collected during a Mathematics course.eng
dc.identifier.doi10.1109/acdsa65407.2025.11165961
dc.identifier.urihttp://hdl.handle.net/10400.1/28923
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE
dc.relation.ispartof2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)
dc.rights.uriN/A
dc.subjectArtificial intelligence
dc.subjectMobile learning
dc.subjectSelfassessment
dc.subjectPeer assessment
dc.titleEnhancing MILAGE LEARN+ with Machine Learning to improve students’ performanceeng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.titleInternational Conference on Artificial Intelligence, Computer, Data Sciences, and Applications
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameFigueiredo
person.familyNamerodrigues
person.familyNameMartins
person.familyNameZacarias
person.givenNameMauro
person.givenNamejose
person.givenNamePaula Ventura
person.givenNameMarielba
person.identifier3026039
person.identifier.ciencia-id2F1E-E93D-B252
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person.identifier.orcid0000-0001-9394-4868
person.identifier.orcid0000-0002-2793-8192
person.identifier.orcid0000-0002-3199-4517
person.identifier.orcid0000-0003-1640-2963
person.identifier.ridF-9586-2015
person.identifier.ridF-6824-2011
person.identifier.ridF-6821-2011
person.identifier.scopus-author-id22333823900
person.identifier.scopus-author-id36988863300
person.identifier.scopus-author-id13604677800
person.identifier.scopus-author-id23394324000
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