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. © 2009 Springer Berlin Heidelberg.
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CITATION STYLE
Grimón, F., Monguet, J. M., & Ojeda, J. (2009). Knowledge based information retrieval with an adaptive hypermedia system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5601 LNCS, pp. 457–463). https://doi.org/10.1007/978-3-642-02264-7_47
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