FAIS: A System for Effectively Learning Students Names and Faces in Massive Courses

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dc.contributor.authorMuñoz Gama, Jorge
dc.contributor.authorAlvarez-Esteban, R.
dc.contributor.authorMontalva-Carmona, J.
dc.contributor.authorBaier Aranda, Jorge Andrés
dc.date.accessioned2022-05-11T20:05:47Z
dc.date.available2022-05-11T20:05:47Z
dc.date.issued2020
dc.description.abstractLow classroom engagement and distractions are important challenges of massive courses. The literature shows that those problems could decrease when the teacher addresses the students by their names. Learning all the names and faces for a small course is not a difficult task. However, in massive courses, this becomes a tedious and time-consuming task, making it not very practical. This work presents FAIS, a system for effectively learning students names and their corresponding faces, especially designed for massive courses. The system is based on memorization by repetition and gamification techniques, requiring less effort and including a playful perspective. A preliminary experience shows the learning of 105 students names and surnames, just during the daily commutes of the 10 days previous to the start of the course.
dc.fuente.origenIEEE
dc.identifier.doi10.1109/SCCC51225.2020.9281182
dc.identifier.isbn978-1728183282
dc.identifier.issn1522-4902
dc.identifier.urihttps://doi.org/10.1109/SCCC51225.2020.9281182
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9281182
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/63781
dc.information.autorucEscuela de ingeniería ; Muñoz Gama, Jorge ; S/I ; 249881
dc.information.autorucEscuela de ingeniería ; Baier Aranda, Jorge Andrés ; S/I ; 9477
dc.language.isoen
dc.nota.accesoContenido parcial
dc.publisherIEEE
dc.relation.ispartofInternational Conference of the Chilean Computer Science Society (39° : 2020 : Coquimbo, Chile)
dc.rightsacceso restringido
dc.subjectComputer science
dc.subjectTask analysis
dc.subjectFaces
dc.titleFAIS: A System for Effectively Learning Students Names and Faces in Massive Courseses_ES
dc.typecomunicación de congreso
sipa.codpersvinculados249881
sipa.codpersvinculados9477
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