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Conceptualization of Methods and Experiments in Data Intensive Research Domains Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Development of Fuzzy Cognitive Map for Optimizing E-learning Course

Author : Vasiliy S. Kireev

Published in: Data Analytics and Management in Data Intensive Domains

Publisher: Springer International Publishing

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Abstract

Learning management system (LMS) optimization has been one of the core issues in the face of increasing learning content supply and the rising number of online-course participants. This optimization is mostly based on LMS logs data analysis and revealing the users’ behavior patterns linked to the content. This article focuses on the approach to LMS users’ behavior pattern simulation that stems from the fuzzy cognitive maps-featuring approach. The proposed model describes the user-content interaction within the system and can be applied to predict users’ reactions to its learning, testing and practical elements. The obtained cognitive map has been tested with the INFOMEPHIST system data. This system has been used to assist leaning process in a number of National Research Nuclear University MEPhI departments for more than nine years. The current and further research is supported by the NRNU MEPhI development program.

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Metadata
Title
Development of Fuzzy Cognitive Map for Optimizing E-learning Course
Author
Vasiliy S. Kireev
Copyright Year
2017
Book
Data Analytics and Management in Data Intensive Domains

Print ISBN: 978-3-319-57134-8

Electronic ISBN: 978-3-319-57135-5

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-57135-5_4

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