LAFe: Learning Analytics Solutions to Support On-Time Feedback

Simple item page
dc.article.number100940
dc.contributor.authorMello R.F.
dc.contributor.authorAlves G.
dc.contributor.authorHarada E.
dc.contributor.authorPerez-Sanagustin M.
dc.contributor.authorHilliger I.
dc.contributor.authorVillalobos E.
dc.contributor.authorFelix E.
dc.contributor.authorBroisin J.
dc.date.accessioned2025-05-01T10:31:37Z
dc.date.available2025-05-01T10:31:37Z
dc.date.issued2024
dc.description.abstract© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.Feedback given to students by instructors is essential to guide students and help them improve from their mistakes. However, in higher education, instructors feel unable to give quality and timely feedback due to work overload and lack of time. In this context, this tutorial intends to discuss possible data-based and AI solutions for supporting students and instructors in the feedback process. It will include: a panel discussion about the importance of automating the feedback process, a demo of tools for this goal, and a card sorting activity to understand important aspects of developing tools to support on-time feedback.
dc.description.funderAgencia Nacional de Investigación
dc.description.funderFondecyt
dc.format.extent8 páginas
dc.fuente.origenScopus
dc.identifier.doi10.1007/978-3-031-64312-5_61
dc.identifier.eisbn978-1-5106-5352-8
dc.identifier.eissn1460-9592
dc.identifier.isbn978-1-5106-5351-1
dc.identifier.issn18650937 18650929
dc.identifier.pubmedid40243597
dc.identifier.scieloidS0718-69242020000300109
dc.identifier.scopusidSCOPUS_ID:85199760206
dc.identifier.urihttps://doi.org/10.1007/978-3-031-64312-5_61
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/103783
dc.identifier.wosidWOS:001312957200064
dc.information.autorucBachillerato; Hilliger Carrasco Isabel; 0000-0001-5270-7655; 141681
dc.issue.numero1
dc.language.isoen
dc.nota.accesoContenido parcial
dc.pagina.final485
dc.pagina.inicio478
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofWorld Conference on Timber Engineering (2023 : Oslo, Noruega)
dc.revistaCommunications in Computer and Information Science
dc.rightsacceso restringido
dc.subjectFeedback tools
dc.subjectProvision of feedback using artificial intelligence
dc.subjectqualitative research
dc.subject.ddc370
dc.subject.deweyEducaciónes_ES
dc.subject.ods03 Good health and well-being
dc.subject.odspa03 Salud y bienestar
dc.titleLAFe: Learning Analytics Solutions to Support On-Time Feedback
dc.typecapítulo de libro
dc.volumen2151
sipa.codpersvinculados141681
sipa.indexScopus
sipa.trazabilidadCarga WOS-SCOPUS;01-05-2025
Files
Collections
Capítulos de libros