Synergy of performance-based model and cognitive trait model in DP-ITS
Samo za registrovane korisnike
2005
Konferencijski prilog (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
Information about the student in student model is the basis for virtual learning environments to provide the necessary adaptation. Cognitive Trait Model (CTM) profiles the student based on cognitive traits, such as his/her working memory capacity and inductive reasoning ability. Performance-based adaptation can guide the student to the required concept, whereas cognitive support serves to prevent the student's cognitive overload while still representing sufficient challenges to the student. This paper describes the synergy of a performance-based student model and CTM in an intelligent tutoring system called DP-ITS.
Izvor:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2005, 3538 LNAI, 407-411Izdavač:
- Springer Verlag
DOI: 10.1007/11527886_54
ISSN: 0302-9743
WoS: 000231387200053
Scopus: 2-s2.0-26944486873
Institucija/grupa
Fakultet organizacionih naukaTY - CONF AU - Jeremić, Zoran AU - Lin, TY AU - Kinshuk AU - Devedžić, Vladan PY - 2005 UR - https://rfos.fon.bg.ac.rs/handle/123456789/345 AB - Information about the student in student model is the basis for virtual learning environments to provide the necessary adaptation. Cognitive Trait Model (CTM) profiles the student based on cognitive traits, such as his/her working memory capacity and inductive reasoning ability. Performance-based adaptation can guide the student to the required concept, whereas cognitive support serves to prevent the student's cognitive overload while still representing sufficient challenges to the student. This paper describes the synergy of a performance-based student model and CTM in an intelligent tutoring system called DP-ITS. PB - Springer Verlag C3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) T1 - Synergy of performance-based model and cognitive trait model in DP-ITS EP - 411 SP - 407 VL - 3538 LNAI DO - 10.1007/11527886_54 UR - conv_2960 ER -
@conference{ author = "Jeremić, Zoran and Lin, TY and Kinshuk and Devedžić, Vladan", year = "2005", abstract = "Information about the student in student model is the basis for virtual learning environments to provide the necessary adaptation. Cognitive Trait Model (CTM) profiles the student based on cognitive traits, such as his/her working memory capacity and inductive reasoning ability. Performance-based adaptation can guide the student to the required concept, whereas cognitive support serves to prevent the student's cognitive overload while still representing sufficient challenges to the student. This paper describes the synergy of a performance-based student model and CTM in an intelligent tutoring system called DP-ITS.", publisher = "Springer Verlag", journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)", title = "Synergy of performance-based model and cognitive trait model in DP-ITS", pages = "411-407", volume = "3538 LNAI", doi = "10.1007/11527886_54", url = "conv_2960" }
Jeremić, Z., Lin, T., Kinshuk,& Devedžić, V.. (2005). Synergy of performance-based model and cognitive trait model in DP-ITS. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Springer Verlag., 3538 LNAI, 407-411. https://doi.org/10.1007/11527886_54 conv_2960
Jeremić Z, Lin T, Kinshuk, Devedžić V. Synergy of performance-based model and cognitive trait model in DP-ITS. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005;3538 LNAI:407-411. doi:10.1007/11527886_54 conv_2960 .
Jeremić, Zoran, Lin, TY, Kinshuk, Devedžić, Vladan, "Synergy of performance-based model and cognitive trait model in DP-ITS" in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3538 LNAI (2005):407-411, https://doi.org/10.1007/11527886_54 ., conv_2960 .