Intelligent system for knowledge estimation on the base of mixed diagnostic tests and elements of fuzzy logic

Anna E. Yankovskaya, Mikhail E. Semenov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

The relevance of computer-based testing of students, as well as the currently existing approaches for the control of knowledge and training are discussed. Construction of mixed diagnostic tests, representing a compromise between unconditional and conditional components, in order to create an intelligent system for monitoring of students' knowledge is proposed. The authors suggest a technique for construction of optimal mixed diagnostic tests only on the basis of expert knowledge about the subjects under control. Decision-making carry out with using of elements of fuzzy logic.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Technology for Education, TE 2011
Pages108-113
Number of pages6
DOIs
Publication statusPublished - 2011
EventIASTED International Conference on Technology for Education, TE 2011 - Dallas, TX, United States
Duration: 14 Dec 201116 Dec 2011

Other

OtherIASTED International Conference on Technology for Education, TE 2011
CountryUnited States
CityDallas, TX
Period14.12.1116.12.11

Keywords

  • Education
  • Fuzzy logic
  • Intelligent system
  • Mixed diagnostic tests
  • Pattern recognition
  • Quality control

ASJC Scopus subject areas

  • Education

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  • Cite this

    Yankovskaya, A. E., & Semenov, M. E. (2011). Intelligent system for knowledge estimation on the base of mixed diagnostic tests and elements of fuzzy logic. In Proceedings of the IASTED International Conference on Technology for Education, TE 2011 (pp. 108-113) https://doi.org/10.2316/P.2011.754-001