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Fuzzy Knowledge Evaluation Model as a Methodological Basis for Automation of Pedagogical Testing

Bibliographic Data

ID20294709
AuthorsI D Rudinskiy (0000-0002-8365-5402, Kaliningrad State Technical University, corresponding author)
Year2007
Volume50
Issue1
Pages68-73
Publication date2007-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueIEEE Transactions on Education (JOURNAL)
Journal identifiersISSN: 0018-9359 • E-ISSN: 1557-9638
PublisherInstitute of Electrical and Electronics Engineers (IEEE) (PUBLISHER)
DOI10.1109/te.2006.888904
OpenAlexW2105633679
LanguageEN
References cited16

Implementation of the mathematical methods and state-of-the-art information technologies into such an informal and descriptive subject as pedagogics is considered to be one of the demands of the times, resulting from the necessity to adapt educational systems to a modern, information-oriented society as fast as possible. The presented study considers a trainee's knowledge evaluation model intended for the procedure of testing. This fuzzy knowledge evaluation model is based on the methods of fuzzy algebra

Algorithm · Automation · Basis (linear algebra) · Fuzzy logic · Fuzzy set · Knowledge management · Management science · Software engineering · State (computer science) · Subject (documents) · Advanced Data Processing Techniques · Artificial Intelligence · Computer Science · Educational Technology and Assessment · Engineering · Intelligent Tutoring Systems and Adaptive Learning · Mathematics

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Citation velocityhistorical
Highly citedNo

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