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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

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

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

  • 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

  • EID of the result in the Scopus database

    2-s2.0-85197049712