Abstract
This paper describes research on information retrieval with an adaptive hypermedia system (AHS) used during three higher education courses taught in a blended learning (BL) environment. The system generates different work plans for each student, according to their profile. Work plans are adapted by means of an algorithm. AHS enable course contents to be adapted to the learning needs of each student and structured in a way that leads to many different learning paths. The case study method was used in this research. The results suggest that the AHS has a positive impact on the learning process. Further research is needed to confirm these results.
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Grimón, F., Monguet, J.M., Ojeda, J. (2009). Knowledge Based Information Retrieval with an Adaptive Hypermedia System. In: Mira, J., Ferrández, J.M., Álvarez, J.R., de la Paz, F., Toledo, F.J. (eds) Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira’s Scientific Legacy. IWINAC 2009. Lecture Notes in Computer Science, vol 5601. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02264-7_47
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DOI: https://doi.org/10.1007/978-3-642-02264-7_47
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