Recommendation and Students' Authoring in Repositories of Learning Objects: A Case-Based Reasoning Approach

Authors

  • Mercedes Gomez-Albarran Dep. Ingeneria del Software e Inteligencia Artificial. Universidad Complutense de Madrid. c/ Prof. Jose Garcia Santesmases s/n. 28040 Madrid. SPAIN
  • Guillermo Jimenez-Diaz Dep. Ingeneria del Software e Inteligencia Artificial. Universidad Complutense de Madrid. c/ Prof. Jose Garcia Santesmases s/n. 28040 Madrid. SPAIN

DOI:

https://doi.org/10.3991/ijet.v4i0.797

Keywords:

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

Abstract


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.

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Published

2009-03-03

How to Cite

Gomez-Albarran, M., & Jimenez-Diaz, G. (2009). Recommendation and Students’ Authoring in Repositories of Learning Objects: A Case-Based Reasoning Approach. International Journal of Emerging Technologies in Learning (iJET), 4, pp. 35–40. https://doi.org/10.3991/ijet.v4i0.797

Issue

Vol. 4 (2009): Special Issue: SIIE 2008

Section

Special Focus Papers