Advances in Distributed Computing and Artificial Intelligence Journal
EDUCATIONAL RESOURCES RECOMMENDATION SYSTEM FOR A HETEROGENEOUS STUDENT GROUP
Authors:
Paula Andrea RODRÍGUEZ MARÍN, Mauricio GIRALDO, Valentina TABARES, Néstor DUQUE, Demetrio OVALLE
DOI:
10.14201/ADCAIJ2016532130
Volume:
Regular Issue 5 (3), 2016
Ahmad, S., & Bokhari, M. (2012). A New Approach to Multi Agent Based Architecture for Secure and Effective E-learning. International Journal of Computer Applications, 46(22), 26–29. Retrieved from http://research.ijcaonline.org/volume46/number22/pxc3879826.pdf
Alonso, C., Gallego, D., & Honey, P. (1997). Los Estilos de Aprendizaje. Procedimientos de diagnóstico y mejora. Bil-bao.
Boratto, L., & Carta, S. (2010). State-of-the-art in group recommendation and new approaches for automatic identifica-tion of groups. Studies in Computational Intelligence, 324, 1–20. https://doi.org/10.1007/978-3-642-16089-9_1
Duque, N., Tabares, V., & Vicari, R. (2015). Mapeo de Metadatos de Objetos de Arendizaje con Estilos de Aprendizaje como Estrategia para Mejorar la Usabilidad de Repositorios de Recursos Educativos. VAEP-RITA, 3(2), 107–113.
Elahi, M., Ricci, F., & Massimo, D. (2014). Interactive Food Recommendation for Groups, 6–7.
Fleming, N., & Baume, D. (2006). Learning Styles Again: VARKing up the right tree! Educational Developments, (7). Re-trieved from http://www.johnsilverio.com/EDUI6702/Fleming_VARK_learningstyles.pdf
Kaššák, O., Kompan, M., & Bieliková, M. (2015). Personalized hybrid recommendation for group of users: Top-N mul-timedia recommender. Information Processing & Management, 000, 1–19. https://doi.org/10.1016/j.ipm.2015.10.001
Li, J. Z. (2010). Quality, Evaluation and Recommendation for Learning Object. International Conference on Educational and Information Technology, (Iceit), 533–537. https://doi.org/10.1109/iceit.2010.5607654
Mizhquero, K., & Barrera, J. (2009). Análisis, Dise-o e Implementación de un Sistema Adaptivo de Recomendación de Información Basado en Mashups. Revista Tecnológica ESPOL-RTE.
Othman, N., & Amiruddin, M. H. (2010). Different perspectives of learning styles from VARK model. Procedia - Social and Behavioral Sciences, 7(2), 652–660. https://doi.org/10.1016/j.sbspro.2010.10.088
Pe-a, C. I., Marzo, J., De la Rosa, J. L., & Fabregat, R. (2002). Un sistema de tutoría inteligente adaptativo considerando estilos de aprendizaje. Universidad de Girona, Espa-a.
Rodriguez, P., Tabares, V., Duque, N., Ovalle, D., & Vicari, R. (2013). BROA: An agent-based model to recommend rel-evant Learning Objects from Repository Federations adapted to learner profile. International Journal of Interac-tive Multimedia and Artificial Intelligence, 2(1), 6. https://doi.org/10.9781/ijimai.2013.211
Sikka, R., Dhankhar, A., & Rana, C. (2012). A Survey Paper on E-Learning Recommender System. International Journal of Computer Applications, 47(9), 27–30. https://doi.org/10.5120/7218-0024