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METHODS AND ALGORITHMS OF ANALYZING SYLLABUSES FOR EDUCATIONAL PROGRAMS FORMING INTELLECTUAL SYSTEM

Author(s)
D. KAIBASSOVA L.N.Gumilyov Eurasian National University, specialty Information Systems, Nur-Sultan, Kazakhstan
L. LA L.N.Gumilyov Eurasian National University, Nur-Sultan, Kazakhstan
A. SMAGULOVA Karaganda State Technical University, Karagandy, Kazakhstan
L. LISITSYNA ITMO University,Saint Petersburg, Russia
A. SHIKOV ITMO University, Saint Petersburg, Russia
M. NURTAY Karaganda State Technical University, Karagandy, Kazakhstan
Abstract
This article reviews using methods of intellectual data analysis for educational program formation in the context of determining the sequence of studying disciplines in the direction by consideration. The model of the forming educational programs that satisfy given competencies is described on the basis of text documents processing through their vector representations. Proposed model performs clustering of text documents taking into weights coefficient of individual words in the corpus. The article succinctly describes the developed software application that allows extract information from text documents, process, analyze, and visualize data. Testing was carried out according to data obtained from 350 syllabuses of disciplines for conformity with 120 competencies in the areas of IT-specialists training. This research solves the issues of intellectual support for the educational programs disciplines of higher education with a view to diminish the complexity of developing new educational programs and improve the quality of academic content.
Publication Details
Page(s) 876-888
DOI DOI not available
Published Journal: Journal of Theoretical and Applied Information Technology, Volume: 98, Issue: 5, Year: 2020

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Keywords
text mining, Vectorization, Hierarchical Clustering., Cosine Similarity, Information Extraction
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