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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationIntelligent Tutoring Systems - 12th International Conference, ITS 2014, Proceedings
PublisherSpringer Verlag
Pages529-534
Number of pages6
Volume8474 LNCS
ISBN (Print)9783319072203
DOIs
StatePublished - 2014
Event12th International Conference on Intelligent Tutoring Systems, ITS 2014 - Honolulu, HI, United States
Duration: Jun 5 2014Jun 9 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8474 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other12th International Conference on Intelligent Tutoring Systems, ITS 2014
CountryUnited States
CityHonolulu, HI
Period6/5/146/9/14

Fingerprint

Intelligent Tutoring Systems
Intelligent systems
System Architecture
Model structures
Education
Students
Feedback
Alternatives
Requirements
Model

Keywords

  • affect
  • architecture
  • component-based
  • meta-tutoring
  • tutoring

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Gonzalez-Sanchez, J., Chavez-Echeagaray, M. E., Vanlehn, K., Burleson, W., Girard, S., Hidalgo-Pontet, Y., & Zhang, L. (2014). A system architecture for affective meta intelligent tutoring systems. In Intelligent Tutoring Systems - 12th International Conference, ITS 2014, Proceedings (Vol. 8474 LNCS, pp. 529-534). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8474 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-07221-0_67

A system architecture for affective meta intelligent tutoring systems. / Gonzalez-Sanchez, Javier; Chavez-Echeagaray, Maria Elena; Vanlehn, Kurt; Burleson, Winslow; Girard, Sylvie; Hidalgo-Pontet, Yoalli; Zhang, Lishan.

Intelligent Tutoring Systems - 12th International Conference, ITS 2014, Proceedings. Vol. 8474 LNCS Springer Verlag, 2014. p. 529-534 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8474 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gonzalez-Sanchez, J, Chavez-Echeagaray, ME, Vanlehn, K, Burleson, W, Girard, S, Hidalgo-Pontet, Y & Zhang, L 2014, A system architecture for affective meta intelligent tutoring systems. in Intelligent Tutoring Systems - 12th International Conference, ITS 2014, Proceedings. vol. 8474 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8474 LNCS, Springer Verlag, pp. 529-534, 12th International Conference on Intelligent Tutoring Systems, ITS 2014, Honolulu, HI, United States, 6/5/14. https://doi.org/10.1007/978-3-319-07221-0_67
Gonzalez-Sanchez J, Chavez-Echeagaray ME, Vanlehn K, Burleson W, Girard S, Hidalgo-Pontet Y et al. A system architecture for affective meta intelligent tutoring systems. In Intelligent Tutoring Systems - 12th International Conference, ITS 2014, Proceedings. Vol. 8474 LNCS. Springer Verlag. 2014. p. 529-534. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-07221-0_67
Gonzalez-Sanchez, Javier ; Chavez-Echeagaray, Maria Elena ; Vanlehn, Kurt ; Burleson, Winslow ; Girard, Sylvie ; Hidalgo-Pontet, Yoalli ; Zhang, Lishan. / A system architecture for affective meta intelligent tutoring systems. Intelligent Tutoring Systems - 12th International Conference, ITS 2014, Proceedings. Vol. 8474 LNCS Springer Verlag, 2014. pp. 529-534 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{01ca9f42e6ff4f30a95f8db912e1fbd8,
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 = "Intelligent Tutoring Systems - 12th International Conference, ITS 2014, Proceedings",

}

TY - GEN

T1 - A system architecture for affective meta intelligent tutoring systems

AU - Gonzalez-Sanchez, Javier

AU - Chavez-Echeagaray, Maria Elena

AU - Vanlehn, Kurt

AU - Burleson, Winslow

AU - Girard, Sylvie

AU - Hidalgo-Pontet, Yoalli

AU - Zhang, Lishan

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - affect

KW - architecture

KW - component-based

KW - meta-tutoring

KW - tutoring

UR - http://www.scopus.com/inward/record.url?scp=84958543111&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84958543111&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-07221-0_67

DO - 10.1007/978-3-319-07221-0_67

M3 - Conference contribution

SN - 9783319072203

VL - 8474 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 529

EP - 534

BT - Intelligent Tutoring Systems - 12th International Conference, ITS 2014, Proceedings

PB - Springer Verlag

ER -