Clustering Learning Objects for Improving Their Recommendation via Collaborative Filtering Algorithms
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Publisher
Springer International Publishing
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http://link.springer.com/content/pdf/10.1007/978-3-319-24129-6_16
Reference37 articles.
1. McGreal, R.: A typology of learning object repositories. In: Adelsberger, H., Kinshuk, Pawlowski, J., Sampson, D. (eds.) Handbook on Information Technologies for Education and Training. International Handbooks on Information Systems, pp. 5–28. Springer, Heidelberg (2008)
2. Cechinel, C., Sánchez-Alonso, S., García-Barriocanal, E.: Statistical profiles of highly-rated learning objects. Computers & and Education 57(1), 1255–1269 (2011)
3. Manouselis, N., Drachsler, H., Verbert, K., Santos, O.C.: Recommender Systems for Technology Enhanced Learning: Research Trends and Applications. Springer Publishing Company, Incorporated (2014)
4. Drachsler, H., Bogers, T., Vuorikari, R., Verbert, K., Duval, E., Manouselis, N., Beham, G., Lindstaedt, S., Stern, H., Friedrich, M., Wolpers, M.: Issues and considerations regarding sharable data sets for recommender systems in technology enhanced learning. Procedia Computer Science 1(2), 2849–2858 (2010). Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010)
5. Verbert, K., Drachsler, H., Manouselis, N., Wolpers, M., Vuorikari, R., Duval, E.: Dataset-driven research for improving recommender systems for learning. Proceedings of the 1st International Conference on Learning Analytics and Knowledge. LAK 2011, pp. 44–53. ACM, New York (2011)
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