Anticipating tutoring demands based on students’ difficulties in Online Learning

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dc.contributor.authorPereira, Aluisio José
dc.contributor.authorGomes, Alex Sandro
dc.contributor.authorPrimo, Tiago Thompsen
dc.contributor.authorQueiros, Leandro Marques
dc.contributor.authorMoreira, Fernando
dc.date.accessioned2024-06-05T16:43:03Z
dc.date.available2024-06-05T16:43:03Z
dc.date.issued2024-06-01
dc.description.abstractAnticipating the tutoring needs in online learning is essential to provide adequate support to students. Feedback and even silence are valuable clues to reveal the level of engagement. Approaches based on Artificial Intelligence (AI) can process this information and alleviate the workload of human tutors. In this study, Natural Language Processing (NLP) techniques were used to assess the performance of classifying students’ difficulties in an Educational Social Network. Difficulties were classified into categories such as “personal”, “technical”, and “others”. The model's performance allows you to anticipate and direct tutoring.
dc.identifier.citationPereira, A. J., Gomes, A. S., Primo, T. T., Queiros, L. M., & Moreira, F. (2024). Anticipating tutoring demands based on students’ difficulties in Online Learning. In P. Zaphiris, & A. Ioannou (Eds.), Learning and Collaboration Technologies (HCII 2024), (Lecture Notes in Computer Science, vol. 14723, pp. 321-332). Springer. https://doi.org/10.1007/978-3-031-61691-4_21. Repositório Institucional UPT. https://hdl.handle.net/11328/5666
dc.identifier.isbn978-3-031-61690-7
dc.identifier.isbn978-3-031-61691-4
dc.identifier.urihttps://hdl.handle.net/11328/5666
dc.language.isoeng
dc.publisherSpringer
dc.relationREMIT - Research on Economics, Management and Information Technologies (UIDB/05105/2020)
dc.relation.hasversionhttps://doi.org/10.1007/978-3-031-61691-4_21
dc.rightsrestricted access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectOnline Learning
dc.subjectTutoring demands
dc.subjectStudents’ difficulties
dc.subject.fosCiências Naturais - Ciências da Computação e da Informação
dc.titleAnticipating tutoring demands based on students’ difficulties in Online Learning
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleREMIT - Research on Economics, Management and Information Technologies (UIDB/05105/2020)
oaire.awardURIhttps://hdl.handle.net/11328/5403
oaire.citation.endPage332
oaire.citation.startPage321
oaire.citation.titleLearning and Collaboration Technologies (HCII 2024)
oaire.citation.volume14724
oaire.fundingStream6817 - DCRRNI ID
person.affiliation.nameUniversidade Portucalense
person.familyNameMoreira
person.givenNameFernando
person.identifier.ciencia-id7B1C-3A29-9861
person.identifier.orcid0000-0002-0816-1445
person.identifier.ridP-9673-2016
person.identifier.scopus-author-id8649758400
relation.isAuthorOfPublicationbad3408c-ee33-431e-b9a6-cb778048975e
relation.isAuthorOfPublication.latestForDiscoverybad3408c-ee33-431e-b9a6-cb778048975e
relation.isProjectOfPublication916295ec-caa8-4105-9f18-6516c646e7a8
relation.isProjectOfPublication.latestForDiscovery916295ec-caa8-4105-9f18-6516c646e7a8

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