Estimation of skill level in intelligent tutoring systems using a multi-attribute methodology

Sonia Sosa-León, Julio Waissman, José A. Olivas, Manuel E. Prieto

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferencia

Resumen

© Springer Nature Switzerland AG 2018. For the ideal functioning of an intelligent tutoring system it is essential to be able to estimate the level of skill of the students according to complex learning objectives. We propose an architecture for the evaluation of the student’s skill level, based on the multi-attribute utility theory, using as aggregation operator the Choquet integral. The method takes into account the learning objectives raised by the decision maker (academics, school teachers, heads of institutions, etc.) represented by complex relationships that can be found among the criteria considered for the evaluation.
Idioma originalInglés estadounidense
Título de la publicación alojadaEstimation of skill level in intelligent tutoring systems using a multi-attribute methodology
Páginas259-269
Número de páginas11
ISBN (versión digital)9783030037628
DOI
EstadoPublicada - 1 ene 2018
EventoCommunications in Computer and Information Science -
Duración: 1 ene 2018 → …

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen944
ISSN (versión impresa)1865-0929

Conferencia

ConferenciaCommunications in Computer and Information Science
Período1/01/18 → …

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