USING STUDENT MENTAL STATE AND LEARNING SENSORY MODALITIES TO IMPROVE ADAPTIVITY IN E-LEARNING

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dc.contributor.authorPaola Rodriguez
dc.contributor.authorFabio Paternò
dc.contributor.authorJovani Alberto Jiménez Builes
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T16:18:42Z
dc.date.available2026-03-22T16:18:42Z
dc.date.issued2014
dc.descriptionCitaciones: 1
dc.description.abstractIn this paper, we present an innovative solution to improve adaptivity in an e-learning system using Brain Computer Interface (BCI) measures (Attention/Meditation) in order to detect changes in students’ preferred perceptual modes for learning information (VARK model). Our solution is also able to report course units and learning resources that could be difficult for the students.
dc.identifier.doi10.21897/23460466.1432
dc.identifier.urihttps://doi.org/10.21897/23460466.1432
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/57490
dc.language.isoen
dc.publisherUniversity of Cordoba
dc.relation.ispartofIngeniería e innovación
dc.sourceUniversidad Privada del Valle
dc.subjectMeditation
dc.subjectBrain–computer interface
dc.subjectModalities
dc.subjectPerception
dc.subjectComputer science
dc.subjectInterface (matter)
dc.subjectHuman–computer interaction
dc.subjectModality (human–computer interaction)
dc.subjectSensory system
dc.subjectStimulus modality
dc.titleUSING STUDENT MENTAL STATE AND LEARNING SENSORY MODALITIES TO IMPROVE ADAPTIVITY IN E-LEARNING
dc.typearticle

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