A System Architecture for Affective Meta Intelligent Tutoring Systems

  • Javier Gonzalez-Sanchez
  • Maria Elena Chavez-Echeagaray
  • Kurt VanLehn
  • Winslow Burleson
  • Sylvie Girard
  • Yoalli Hidalgo-Pontet
  • Lishan Zhang
Conference paper

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

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8474)
Cite this paper as:
Gonzalez-Sanchez J. et al. (2014) A System Architecture for Affective Meta Intelligent Tutoring Systems. In: Trausan-Matu S., Boyer K.E., Crosby M., Panourgia K. (eds) Intelligent Tutoring Systems. ITS 2014. Lecture Notes in Computer Science, vol 8474. Springer, Cham

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

architecture component-based tutoring meta-tutoring affect 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Javier Gonzalez-Sanchez
    • 1
  • Maria Elena Chavez-Echeagaray
    • 1
  • Kurt VanLehn
    • 1
  • Winslow Burleson
    • 1
  • Sylvie Girard
    • 2
  • Yoalli Hidalgo-Pontet
    • 1
  • Lishan Zhang
    • 1
  1. 1.Arizona State UniversityTempeUSA
  2. 2.University of BirminghamBirminghamUK

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