Using Recommendation System for E-learning Environments at degree level

Authors

Keywords:

e-learning, Recommendation Systems, CMS, Internet, Learning Objects

Abstract

Nowadays, new technologies and the fast growth of the Internet have made access to information easier for all kind of people, raising new challenges to education when using Internet as a medium. One of the best examples is how to guide students in their learning processes. The need to look for guidance from their teachers or other companions that many Internet users experience when endeavoring to choose their readings, exercises o practices is a very common reality. In order to cater for this need many different information and recommendation strategies have been developed. Recommendation Systems is one of these. Recommendation Systems try to help the user, presenting him those objects he could be more interested in, based on his known preferences or on those of other users with similar characteristics.This document tries to present the current situation with regards to Recommendation Systems and their application on distance education over the Internet.

Downloads

Download data is not yet available.

References

[1] Adomavicius G., Tuzhilin A. 2005. ―Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions‖. IEEE Transactions on Knowledge and Data Engineering, Vol. 17, No 6. Junio 2005.

[2] Balabanovic, M., Shoham, Y. 1997. ―Fab: Content-based, collaborative recommendation‖. Communications of ACM 40,3 (Marzo), 66-72.

[3] Batul J.M., 2001. Jumping Connections: A Graph-Theoretic Model for Recommender Systems. Blacksburg, Virginia, USA.

[4] Cotter, P., Smyth, B. 2000. ―WAPing the Web: Content Personalisation for WAP-Enabled Devices‖. Adaptative Hypermedia and Adaptative Web-Based Systems Springer-Verlag.

[5] Khan, B. 1997. ―Web-Based Instruction (WBI): What Is It and Why Is It?‖. En B. Khan (Edit.) Web-Based Instructioin. New Jersey, Englewood Cliffs, pp. 5-18.

[6] McCormack, C., Jones, D. 1998. ―Building a Web-Based Education System‖. New York, Wiley Computer Publishing.

[7] Pazzani, M., Muramatsu, J., Billsus, D. 1996. ―Syskill & Webert: Identifying interesting web sites‖. AAI Spring Symposium on Machine Learning in Information Access. http://www.parc.xerox.com/istl/projects/mlia/papers/pazzani.ps

[8] Roig, R., Lledó, A., Grau, S. 2004. ―Objetos de Aprendizaje (Learning Objects) como respuesta educativa al alumnado con altas capacidades de la inclusión digital‖. http://www.tecnoneet.org/docs/2004/1-12004.pdf

[9] Wang, P. 1998. ―Why recommendation is special? En Papers from the 1998 Workshop on Recommender Systems, part of the 15th National Conference on Artificial Intelligence (AAAI-98, Madison, Wisconsin, EUA), 111-113.

[10] Wiley, D. 2001. "Connecting learning objects to instructional design theory: A definition, a metaphor, and a taxonomy", AIT/AECT, The Instructional Use of Learning Objects, Association for Instructional Technology, 1-35

Downloads

Published

2009-12-01
Metrics
Views/Downloads
  • Abstract
    131
  • PDF
    16

How to Cite

González Crespo, R., Torres Franco, E., G. Bustelo, C. P., and Sanjuan Martinez, O. (2009). Using Recommendation System for E-learning Environments at degree level. International Journal of Interactive Multimedia and Artificial Intelligence, 1(2), 67–70. Retrieved from https://www.ijimai.org/index.php/ijimai/article/view/5804

Issue

Vol. 1 No. 2 (2009): Special Issue on Business Intelligence and Semantic Web.

Section

Regular Articles

Most read articles by the same author(s)

1 2 3 4 5 > >>