Mostrar el registro sencillo del ítem

dc.contributor.authorVillagrá-Arnedo, Carlos
dc.contributor.authorGallego-Durán, Francisco
dc.contributor.authorLlorens-Largo, Faraón
dc.contributor.authorSatorre-Cuerda, Rosana
dc.contributor.authorCompañ-Rosique, Patricia
dc.contributor.authorMolina-Carmona, Rafael
dc.date2020-06
dc.date.accessioned2022-03-30T08:55:35Z
dc.date.available2022-03-30T08:55:35Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/12756
dc.description.abstractPerformance prediction systems allow knowing the learning status of students during a term and produce estimations on future status, what is invaluable information for teachers. The majority of current systems statically classify students once in time and show results in simple visual modes. This paper presents an innovative system with progressive, time-dependent and probabilistic performance predictions. The system produces by-weekly probabilistic classifications of students in three groups: high, medium or low performance. The system is empirically tested and data is gathered, analysed and presented. Predictions are shown as point graphs over time, along with calculated learning trends. Summary blocks are with latest predictions and trends are also provided for teacher efficiency. Moreover, some methods for selecting best moments for teacher intervention are derived from predictions. Evidence gathered shows potential to give teachers insights on students' learning trends, early diagnose learning status and selecting best moment for intervention.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseries;vol. 6, nº 2
dc.relation.urihttps://www.ijimai.org/journal/bibcite/reference/2775es_ES
dc.rightsopenAccesses_ES
dc.subjecte-learninges_ES
dc.subjecteducationes_ES
dc.subjectlearning management systemses_ES
dc.subjectpredictiones_ES
dc.subjectsupport vector machinees_ES
dc.subjectIJIMAIes_ES
dc.titleTime-Dependent Performance Prediction System for Early Insight in Learning Trendses_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES
dc.identifier.doihttps://doi.org/10.9781/ijimai.2020.05.006


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem