An Automatic and Dynamic Approach for Personalized Recommendation of Learning Objects Considering Students Learning Styles: An Experimental Analysis

An Automatic and Dynamic Approach for Personalized Recommendation of Learning Objects Considering Students Learning Styles: An Experimental Analysis

Content personalization in educational systems is an increasing research area. Studies show that students tend to have better performances when the content is customized according to his/her preferences. One important aspect of students particularities is how they prefer to learn. In this context, s...

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Bibliographic Details
Main Authors: Fabiano A. DORÇA, Rafael D. ARAÚJO, Vitor C. de CARVALHO, Daniel T. RESENDE, Renan G. CATTELAN
Format: Article
Language:English
Published: Vilnius University 2016-04-01
Series:Informatics in Education
Subjects:
personalized content recommendation
learning styles
learning objects
expert systems
adaptive educational systems
Online Access:https://infedu.vu.lt/doi/10.15388/infedu.2016.03

Internet

https://infedu.vu.lt/doi/10.15388/infedu.2016.03

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