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 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Publisher | Springer Verlag |
| Pages | 529-534 |
| Number of pages | 6 |
| Volume | 8474 LNCS |
| ISBN (Print) | 9783319072203 |
| DOIs | |
| 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) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 12th International Conference on Intelligent Tutoring Systems, ITS 2014 |
|---|---|
| Country | United States |
| City | Honolulu, HI |
| Period | 6/5/14 → 6/9/14 |
Fingerprint
Keywords
- affect
- architecture
- component-based
- meta-tutoring
- tutoring
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
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.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 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 proceeding › Conference contribution
}
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
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 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PB - Springer Verlag
ER -