Abstract
In this paper we describe the basis of aLF (active learning framework) an environment for web-based distance learning on the web and how it can be extended with a user modelling subsystem aimed at providing an adaptive response which can meet users’ knowledge state, preferences and goals. We concentrate on user data collection and its further processing to create a user model. Furthermore, as regards the user modelling task, we claim that a combination of different machine learning algorithms should perform better than individual methods. To support our approach we will provide some preliminary experimental results.
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Gaudioso, E., Boticario, J.G. (2002). User Data Management and Usage Model Acquisition in an Adaptive Educational Collaborative Environment. In: De Bra, P., Brusilovsky, P., Conejo, R. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2002. Lecture Notes in Computer Science, vol 2347. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47952-X_16
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DOI: https://doi.org/10.1007/3-540-47952-X_16
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