Abstract
In order to support inclusive eLearning scenarios in a personalized way, we propose to use recommenddrs systems to guide learners thorugh their interactions in learning management systems. We have identified several issues to be considered when building a knowledge-based recommender system and propose a user-centered methodology to design and evaluate a recommender system that can be integrated via web services with exiting learning management systems to offer adaptive capabilities. We report some results from a formative evaluation carried out with users receiving recommendations in dotLRN open source eLearning platform.
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References
Psotka, J., Massey, L.D., Mutter, S.A.: Intelligent tutoring systems: lessons learned. Lawrence Erlbaum Associates, Mahwah (1988)
Drachsler, H., Hummel, H.G.K., Koper, R.: Personal recommender systems for learners in lifelong learning: requirements, techniques and model. International Journal of Learning Technology (2007)
Tang, T., McCalla, G.: Smart recommendation for an evolving e-learning system. In: Workshop on Technologies for Electronic Documents for Supporting Learning, Proceedings of 11th International Conference on Artificial Intelligence in Education, Sydney, Australia, July 20–24, pp. 699–710 (2003)
Santos, O.C., Boticario, J.G.: Users’ experience with a recommender system in an open source standard-based learning management system. In: Proceedings of the 4th Symposium of the WG HCI&UE of the Austrian Computer Society on Usability & HCI for Education and Work, USAB 2008 (2008b)
Santos, O.C., Martin, L., del Campo, E., Saneiro, M., Mazzone, E., Boticario, J.G., Petrie, H.: User-Centered Design Methods for Validating a Recommendations Model to Enrich Learning Management Systems with Adaptive Navigation Support. In: Weibelzahl, S., Masthoff, J., Paramythis, A., van Velsen, L. (eds.) Proceedings of the Sixth Workshop on User-Centred Design and Evaluation of Adaptive Systems, held in conjunction with the International Conference on User Modeling, Adaptation, and Personalization (UMAP 2009), Trento, Italy, June 26, pp. 64–67 (2009)
Santos, O.C., Boticario, J.G.: Building a knowledge-based recommender for inclusive eLearning scenarios. In: Proceedings of the International Conference on Artificial Intelligence, AIED 2009 (in press, 2009)
Paramythis, A., Totter, A., Stephanidis, C.: A Modular Approach to the Evaluation of Adaptive User Interfaces. In: Weibelzahl, S., Chin, D., Weber, G. (eds.) Empirical Evaluation of Adaptive Systems. Proceedings of workshop held at the Eighth International Conference on User Modeling in Sonthofen, Germany, July 13, pp. 9–24. Pedagogical University of Freiburg, Freiburg (2001)
Karagiannidis, C., Sampson, D.G.: Layered Evaluation of Adaptive Applications and Services. In: Brusilovsky, P., Stock, O., Strapparava, C. (eds.) AH 2000. LNCS, vol. 1892, p. 343. Springer, Heidelberg (2000)
Brusilovsky, P., Karagiannidis, C., Sampson, D.: Layered Evaluation of Adaptive Learning Systems. International Journal of Continuing Engineering Education and Lifelong Learning, Special issue on Adaptivity in Web and Mobile Learning Services 14(4/5), 402–421 (2004)
Paramythis, A., Weibelzahl, S.: A decomposition model for the layered evaluation of interactive adaptive systems. In: Ardissono, L., Brna, P., Mitrović, A. (eds.) UM 2005. LNCS (LNAI), vol. 3538, pp. 438–442. Springer, Heidelberg (2005)
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Santos, O.C., Boticario, J.G. (2009). Guiding Learners in Learning Management Systems through Recommendations. In: Cress, U., Dimitrova, V., Specht, M. (eds) Learning in the Synergy of Multiple Disciplines. EC-TEL 2009. Lecture Notes in Computer Science, vol 5794. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04636-0_54
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DOI: https://doi.org/10.1007/978-3-642-04636-0_54
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