A System Architecture for Affective Meta Intelligent Tutoring Systems


A second paper accepted to ITS2014!

12th International Conference on Intelligent Tutoring Systems
Hosted by the University of Hawaii at Manoa
Honolulu, Hawaii, US. Jun 2014

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.

Conference Presentation

My slides from the paper presentation

 
Reference

Gonzalez-Sanchez, J., Chavez-Echeagaray, M.E., VanLehn, K., Burleson, W., Girard, S., Hidalgo-Pontet, Y., and Zhang, L. (2014). A System Architecture for Affective Meta Intelligent Tutoring Systems. In Proceedings of the 12th International Conference on Intelligent Tutoring Systems (ITS). Honolulu, HI, US. 5-9 June. Pp. 529–534. Springer. LNCS 8474, pp. 529–534.

doi:10.1007/978-3-319-07221-0_67