A PERSONALIZED LEARNING RECOMMENDATION SYSTEM
Journal Title: Вчені записки Таврійського національного університету імені В. І. Вернадського. Серія: Технічні науки - Year 2018, Vol 29, Issue 6
Abstract
The amount of information on the Internet is constantly increasing, it is becoming more and more difficult for students to find information from relevant educational materials that will satisfy their needs. An effective personalized recommendation system for educational materials will not only reduce information overload, recommending appropriate educational material for its students, but also provide them with the necessary information at the right time and offer the necessary path. This article will provide a description and analysis of existing systems of recommendations and identification of tasks for the development and evaluation of data sets. Then we will look at the way for developing a recommender system, the purpose of which is to support the student through the Learning Management System, in order to find suitable material to improve the student’s knowledge.
Authors and Affiliations
Д. В. Щербак, О. П. Сирота
Keywords
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