Using Fuzzy Logic Methods for Predicting Difficulties of the Hybrid Learning System Users
I.f. Astaсhova1, E.I. Kiseleva2
1I.f. Astaсhova, Voronezh State Pedagogical University, Voronezh, Russia.
2E.I. Kiseleva, Voronezh State Pedagogical University, Voronezh, Russia.
Manuscript received on 08 April 2019 | Revised Manuscript received on 15 April 2019 | Manuscript Published on 24 May 2019 | PP: 586-589 | Volume-8 Issue-6S3 April 2019 | Retrieval Number: F11150486S319/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The article offers a structural model of a hybrid learning system. The system’s versatility lies in its independence from the specific subject content, which allows a teacher to upload the required course, and a student to choose an individual learning path. A hybrid system is a system that combines two or more various computer technologies. An algorithm for predicting difficulties of the students learning on the basis of fuzzy logic methods for predicting fuzzy time series is considered.
Keywords: Structural Model of a Hybrid Educational System, Prediction of Students’ Difficulties, Prediction of fuzzy Time Series.
Scope of the Article: Fuzzy Logic