Paper Info
Title
Hiperion: A fuzzy approach for recommending educational activities based on the acquisition of competences.
Abstract
The concept of competence is acquiring relevance as core element of educational systems and consequently importance in the job market. Therefore, teachers must prepare educational activities designed to exercise a set of competences that each student needs to obtain. These activities should be recommended to each student according to their strengths and weaknesses as they are uncovered during the academic year. In order to appropriately recommend these activities, a framework is necessary where competences are at the core of assessment. Thus, the focus of this work is a system where activities are designed in order to exercise each competence to some extent and assess them according to their degree of acquisition. From this idea it is possible to develop a recommender system which is able to suggest personalized activities for each student in order to reinforce their competences in a subject. These recommendations are computed through the characteristics of the competences from each subject and the designed activities, modeled by fuzzy linguistic labels. In order to test the effectiveness of the proposed system, a prototype has been developed and tested with real students, achieving successful results.
Year
DOI
Venue
2013
10.1016/j.ins.2013.06.009
Information Sciences
Keywords
Field
DocType
Recommender system,Competence,2-Tuple fuzzy model,Linguistic hierarchy
Recommender system,Competence (human resources),Academic year,Fuzzy logic,Knowledge management,Job market,Educational systems,Strengths and weaknesses,Mathematics
Journal
Volume
ISSN
Citations 
248
0020-0255
17
PageRank 
References 
Authors
0.55
46
3
Name
Order
Citations
PageRank
Jesús Serrano-Guerrero1599.31
Francisco P. Romero223527.46
José Angel Olivas36512.87