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

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

*Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

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
Título de la publicación alojadaTelematics and Computing - 7th International Congress, WITCOM 2018, Proceedings
EditoresMiguel Felix Mata-Rivera, Roberto Zagal-Flores
EditorialSpringer Verlag
Páginas259-269
Número de páginas11
ISBN (versión impresa)9783030037628
DOI
EstadoPublicada - 2018
Evento7th International Congress of Telematics and Computing, WITCOM 2018 - Mazatlán, México
Duración: 5 nov. 20189 nov. 2018

Serie de la publicación

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

Conferencia

Conferencia7th International Congress of Telematics and Computing, WITCOM 2018
País/TerritorioMéxico
CiudadMazatlán
Período5/11/189/11/18

Nota bibliográfica

Publisher Copyright:
© Springer Nature Switzerland AG 2018.

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