@inproceedings{a5c8d6b417ec45d698c80f5fd13927f1,
title = "A system architecture for affective meta intelligent tutoring systems",
abstract = "Intelligent Tutoring Systems (ITSs) constitute an alternative to expert human tutors, providing direct customized instruction and feedback to students. ITSs could positively impact education if adopted on a large scale, but doing that requires tools to enable their mass production. This circumstance is the key motivation for this work. We present a component-based approach for a system architecture for ITSs equipped with meta-tutoring and affective capabilities. We elicited the requirements that those systems might address and created a system architecture that models their structure and behavior to drive development efforts. Our experience applying the architecture in the incremental implementation of a four-year project is discussed.",
keywords = "affect, architecture, component-based, meta-tutoring, tutoring",
author = "Javier Gonzalez-Sanchez and Chavez-Echeagaray, {Maria Elena} and Kurt Vanlehn and Winslow Burleson and Sylvie Girard and Yoalli Hidalgo-Pontet and Lishan Zhang",
year = "2014",
doi = "10.1007/978-3-319-07221-0-67",
language = "English (US)",
isbn = "9783319072203",
volume = "8474 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "529--534",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
note = "12th International Conference on Intelligent Tutoring Systems, ITS 2014 ; Conference date: 05-06-2014 Through 09-06-2014",
}