@inproceedings{c6115b2f6aec4351853b45ccdfcdebe9,
title = "Estimation of skill level in intelligent tutoring systems using a multi-attribute methodology",
abstract = "{\textcopyright} 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{\textquoteright}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.",
author = "Sonia Sosa-Le{\'o}n and Julio Waissman and Olivas, {Jos{\'e} A.} and Prieto, {Manuel E.}",
year = "2018",
month = jan,
day = "1",
doi = "10.1007/978-3-030-03763-5_22",
language = "American English",
isbn = "9783030037628",
series = "Communications in Computer and Information Science",
pages = "259--269",
booktitle = "Estimation of skill level in intelligent tutoring systems using a multi-attribute methodology",
note = "Communications in Computer and Information Science ; Conference date: 01-01-2018",
}