ADAPTIVE TESTING SYSTEM BASED ON THE FUZZY LOGIC

Authors

  • V. M. Sineglazov National Aviation University, Kyiv
  • A. V. Kusyk National Aviation University, Kyiv

DOI:

https://doi.org/10.18372/1990-5548.56.12941

Keywords:

Automated testing system, computer knowledge assessment, adaptive tests, fuzzy logic, fuzzy logic inference

Abstract

In this articl, the system analysis of the subject area of the evaluating the test results problem is performed, as a result of which it is classified into clear and fuzzy concepts and relations of the problem, which allowed choosing the fuzzy logic apparatus as the main formalism of the problem solution. Scaling for all linguistic variables of the problem, which allowed to determine their term set reasonably was performed. The fuzzy logic structure was given. The structure of fuzzy logic inference was considered. The principle of constructing fuzzy rules, which allowed to develop production rules for assessing the trainee’s knowledge level using specified input and output linguistic variables is considered. The stages of usage fuzzy logic in the knowledge assessment adaptive testing system was considered. Structure of the knowledge assessment system with fuzzy logic was given. The scheme for submitting questions to the trainee is considered. The structure of adaptive testing system using fuzzy logic is developed.The results of applying adaptive testing in the knowledge assessment of the experimental and control groups of trainees are presented. Based on the obtained results, the effectiveness of adaptive testing based of the fuzzy logic in the process of trainee’s knowledge assessment is shown.

Author Biographies

V. M. Sineglazov, National Aviation University, Kyiv

Aviation Computer-Integrated Complexes Department, Education&Scientific Institute of Information-Diagnostics Systems

Doctor of Engineering Science. Professor

A. V. Kusyk, National Aviation University, Kyiv

Aviation Computer-Integrated Complexes Department, Education&Scientific Institute of Information-Diagnostics Systems

Master

References

Andrew Fluck, Darren Pullen and Colleen Harper, “Case study of a computer based examination system,” Australasian Journal of Educational Technology, no. 25(4), pp. 509–523, 2009.

C. Elena, Papanastasiou, Computer Adaptive testing in science education / [Electronic source] http://cblis.utc.sk/cblisdold/2003/3.PartB/Papers/ScienceEd /TestingAssessment/Papanastasiou.pdf

“TestMaker” testing system [Electronic source] http://www.pushtotest.com/products.

“Indigo” testing system [Electronic source] https://indigotech.ru

L. N. Radvanskaya, and Yu. V. Chepurnaya, “Algorithm for constructing a computerized adaptive knowledge testing system for trainees,” System information boxes, Issue 5(72), pp. 182–185, 2008. (in Russian)

S. V. Duplik, “Model of adaptive testing on fuzzy mathematics,” Kazan State Technical University them. AN Tupolev, 2016. (in Russian)

K. A. Goncharova, V. S. Dobryak, and M. S. Mazorchuk, “Knowledge control system based on adapted testing technology,” Problems and prospects of IT industry development in Ukraine: International science-practice Conf., 18-19 November 2009. : Collection of abstracts. Kharkiv: KhNUE Publishing House, 2009, pp. 266–268. (in Ukrainian)

V. M. Sineglazov and A. V. Kusyk, “System of Adaptive Tasks Selection in the Testing Process,” Electronics and Control Systems, no. 1(55), Kyiv: NAU, pp. 47–52, 2018.

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How to Cite

Sineglazov, V. M., & Kusyk, A. V. (2018). ADAPTIVE TESTING SYSTEM BASED ON THE FUZZY LOGIC. Electronics and Control Systems, 2(56), 85–91. https://doi.org/10.18372/1990-5548.56.12941

Issue

Vol. 2 No. 56 (2018)

Section

TRANSPORT SYSTEMS

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