Educational models for cognition: Methodology of modeling intellectual skills for intelligent tutoring systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AKTBTVCPT" target="_blank" >RIV/00216208:11320/25:KTBTVCPT - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197049712&doi=10.1016%2fj.cogsys.2024.101261&partnerID=40&md5=6f236d31c970688c7b37bba0de7443de" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197049712&doi=10.1016%2fj.cogsys.2024.101261&partnerID=40&md5=6f236d31c970688c7b37bba0de7443de</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.cogsys.2024.101261" target="_blank" >10.1016/j.cogsys.2024.101261</a>
Alternative languages
Result language
angličtina
Original language name
Educational models for cognition: Methodology of modeling intellectual skills for intelligent tutoring systems
Original language description
Automation of teaching people new skills requires modeling of human reasoning because human cognition involves active reasoning over the new subject domain to acquire skills that will later become automatic. The article presents Thought Process Trees — a language for modeling human reasoning that was created to facilitate the development of intelligent tutoring systems, which can perform the same reasoning that is expected of a student and find deficiencies in their line of thinking, providing explanatory messages and allowing them to learn from performance errors. The methodology of building trees which better reflect human learning is discussed, with examples of design choices during the modeling process and their consequences. The characteristics of educational modeling that impact building subject-domain models for intelligent tutoring systems are discussed. The trees were formalized and served as a basis for developing a framework for constructing intelligent tutoring systems. This significantly lowered the time required to build and debug a constraint-based subject-domain model. The framework has already been used to develop five intelligent tutoring systems and their prototypes and is being used to develop more of them. © 2024 Elsevier B.V.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Cognitive Systems Research
ISSN
1389-0417
e-ISSN
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Volume of the periodical
87
Issue of the periodical within the volume
2024
Country of publishing house
US - UNITED STATES
Number of pages
17
Pages from-to
1-17
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85197049712