WorldCIST'14 - The 2014 World Conference on Information Systems and Technologies

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Developing a Learning Objects Recommender System based on Competences to Education: experience report

This article describes a learning objects (LO) Recommender system based on competences to Education. The system is being developed by a multidisciplinary team, and it is in an evaluation and improvement stage. The present paper presents the experiences performed during the system application to post-graduation groups, and the improvements that were implemented from the feedback of this application. The research aims to collaborate to build didactic-pedagogical strategies with the objects’ support in superior education, having the competences as a base. The results show a quality system related to LO filtering and recommendation.

Author(s):

Patricia Behar    
UFRGS
Brazil

Silvio Cazella    
UFCSPA
Brazil

Daisy Schneider    
UFRGS
Brazil

Ketia Kellen Araújo da Silva    
UFRGS
Brazil

Rodrigo Farias    
UFRGS
Brazil

 

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