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Title: Development of the rules base for an expert system choice adaptive learning strategy
Authors: Andrey Vladimirovich Ostroukh, Dmitry Ivanovich Popov, Dmitry Grigorievich Demidov, Nataliya Evgenievna Surkova
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2015
Volume: 10
Issue: 10
Language: English
In this article is described rules data base creation method for selection an optimum education path for employees. Rules are formed on the basis of the intellectual data analysis of open education Institute MSUPA by Ivan Fedorov. Those data contains information about students’ education results with applied remote educational technologies for 10 years. This analyses shows both the most successful and most negative educational method, which could be used by another students by definition others education strategies. Analyses showed the studying sequence of disciplines education plan directly connected with students’ education productivity. Therefore expert system, based on received data will be indispensable tutor’s instrument and helps to automatize support process of electronic education.
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