Recommendation and Studentsâ?? Authoring in Repositories of Learning Objects: A Case-Based Reasoning Approach

Mercedes Gomez-Albarran, Guillermo Jimenez-Diaz


This paper presents a Case-Based Reasoning approach for the personalized recommendation and the studentsâ?? authoring tasks in on-line repositories of Learning Objects (LOs).
The recommender combines content-based filtering techniques together with collaborative filtering mechanisms.
Studentsâ?? authoring tasks include the incorporation of ratings of the existing LOs and new LOs, which are peer reviewed.
This approach is going to be applied to a repository with more than 200 programming examples written in different programming languages.


Case-based recommenders; Social filtering; Learning objects; Programming learning

Full Text:


Copyright (c) 2017 Mercedes Gomez-Albarran, Guillermo Jimenez-Diaz

International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
Creative Commons License
Scopus logo Clarivate Analyatics ESCI logo EI Compendex logo IET Inspec logo DOAJ logo DBLP logo Learntechlib logo EBSCO logo Ulrich's logo Google Scholar logo MAS logo