Exploring user-based recommender results in large learning object repositories: The case of MERLOT

Procedia Computer Science

Volumn 1, Issue 2, 2010, Pages 2865-2870

  Sicilia, Miguel Ángel ^a   García Barriocanal, Elena ^a   Sánchez Alonso, Salvador ^a   Cechinel, Cristian ^b  

^a UNIVERSITY OF ALCALÁ   (Spain)

^b UNIVERSIDADE FEDERAL DO PAMPA   (Brazil)

Author keywords

Collaborative filtering; Learning object repositories; Learning objects; MERLOT; Recommender systems

Indexed keywords

ELECTRONIC COMMERCE; RECOMMENDER SYSTEMS;

ACCURACY MEASURES; EMPIRICAL STUDIES; INFORMATION RESOURCE; LEARNING OBJECT REPOSITORIES; LEARNING OBJECTS; LEARNING RESOURCE; MERLOT;

COLLABORATIVE FILTERING;

EID: 78650236448     PISSN: None     EISSN: 18770509     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2010.08.012     Document Type: Conference Paper

References (10)

1. Sarwar, B., Karypis, G., Konstan, J., and Riedl, J. (2000). Analysis of recommendation algorithms for e-commerce. In Proceedings of the 2nd ACM Conference on Electronic Commerce (Minneapolis, Minnesota, United States, October 17 - 20, 2000). EC '00. ACM, New York, NY, 158-167
2. Vargo, J., Nesbit, J. C., Belfer, K., & Archambault, A. (2003). Learning object evaluation: Computer mediated collaboration and inter-rater reliability. International Journal of Computers and Applications, 25(3), 198-205.
3. Herlocker, J. L., Konstan, J. A., Terveen, L. G., and Riedl, J. T. 2004. Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst. 22, 1 (Jan. 2004), 5-53.
4. Brosnan, K. (2005). "Developing and sustaining a national learning-object sharing network: A social capital theory perspective," In: J.B. Williams, & M.A. Goldberg (Eds.), Proceedings of The ASCILITE 2005 Conference, pp. 105-114, Brisbane: Australia.
5. Monge, S., Ovelar, R. and Azpeitia, I. (2008). "Repository 2.0: Social Dynamics to Support Community Building in Learning Object Repositories". Interdisciplinary Journal of E-Learning and Learning Objects, 4, 2008, http://ijklo.org/Volume4/IJELLOv4p191-204Monge.pdf
6. Han, P., Kortemeyer, G., Kramer, B.J. and Prummer, C. von. (2008). "Exposure and Support of Latent Social Networks Among Learning Object Repository Users. rs". Journal of Universal Computer Science (J.UCS), 14, 2008.
7. Recker, M., Walker, A., & Lawless, K. (2003). What do you recommend? Implementation and analyses of collaborative filtering of Web resources for education. Instructional Science, 31(4/5), 229-316.
8. Manouselis, N., Vuorikari, R., and Van Assche, F. (2007). "Simulated Analysis of MAUT Collaborative Filtering for Learning Object Recommendation", in Proc. of the Workshop on Social Information Retrieval for Technology-Enhanced Learning (SIRTEL 2007), 2nd European Conference on Technology Enhanced Learning (EC-TEL'07), Crete, Greece, September 2007.
9. Ochoa, X. and Duval, E. (2008). Quantitative Analysis of Learning Object Repositories. In: Proceedings of the World Conference on Educational Multimedia, Hypermedia and Telecommunications, pp. 6031-6048, Chesapeake, VA: AACE.
10. García-Barriocanal, E. and Sicilia, M.A. (2009). Preliminary Explorations on the Statistical Profiles of Highly-Rated Learning Objects. In: Proc. of the third Metadata and Semantics research conference (MTSR 2009), Springer Communications in Computer and Information Science 46, pp. 108-117.