| HAL-Inria | Publications, software ... of Inria's scientists |
Conference papers
Recommendation of Learning Objects Applying Collaborative Filtering and Competencies
Abstract : This paper presents a recommender system for learning objects which uses a collaborative filtering mechanism based on competencies. The model enables students to receive recommendations of learning objects automatically, according to students' interests but also according to competencies that have to be developed. The prototype implemented was able to recommend relevant contents to students, aiming at helping them in the development of competencies. The paper also presents a couple of experiments showing that the recommender system has a good level of accuracy for the suggestions made.
Cited literature [9 references]
https://hal.inria.fr/hal-01054676
Contributor : Hal Ifip <>
Submitted on : Friday, August 8, 2014 - 9:14:54 AM
Last modification on : Wednesday, August 9, 2017 - 1:53:48 PM
Long-term archiving on: : Wednesday, November 26, 2014 - 3:45:36 PM
Contributor : Hal Ifip <>
Submitted on : Friday, August 8, 2014 - 9:14:54 AM
Last modification on : Wednesday, August 9, 2017 - 1:53:48 PM
Long-term archiving on: : Wednesday, November 26, 2014 - 3:45:36 PM
File
cazella-KCKS.pdf
Files produced by the author(s)
Licence
Distributed under a Creative Commons Attribution 4.0 International License