Knowledge Based Information Retrieval with an Adaptive Hypermedia System

Authors:
Francisca Grimón;Josep Maria Monguet;Jordi Ojeda
Affiliations:
Departamento de Computación, FACYT, UC,;Universidad Politécnica de Cataluña,;Universidad Politécnica de Cataluña,
Venue:
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part I: Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira's Scientific Legacy
Year:
2009

Citing 4
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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.