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

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

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 proceeding › Conference contribution

6 Scopus citations

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 language	English (US)
Title of host publication	Intelligent Tutoring Systems - 12th International Conference, ITS 2014, Proceedings
Publisher	Springer Verlag
Pages	529-534
Number of pages	6
ISBN (Print)	9783319072203
DOIs	https://doi.org/10.1007/978-3-319-07221-0_67
State	Published - 2014
Event	12th International Conference on Intelligent Tutoring Systems, ITS 2014 - Honolulu, HI, United States Duration: Jun 5 2014 → Jun 9 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8474 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	12th International Conference on Intelligent Tutoring Systems, ITS 2014
Country	United States
City	Honolulu, HI
Period	6/5/14 → 6/9/14

Keywords

affect
architecture
component-based
meta-tutoring
tutoring

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

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

Fingerprint Dive into the research topics of 'A system architecture for affective meta intelligent tutoring systems'. Together they form a unique fingerprint.

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 (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. 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 proceeding › Conference 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. 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. 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. Springer Verlag, 2014. pp. 529-534 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{56114599496747dc8c65a606bb43c0cd,

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",

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

AN - SCOPUS:84958543111

SN - 9783319072203

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

T2 - 12th International Conference on Intelligent Tutoring Systems, ITS 2014

Y2 - 5 June 2014 through 9 June 2014

ER -