PhD Dissertation Summary: Contributions to the Design, Implementation and Evaluation of Adaptive Learning Management Systems based on standards, which integrate instructional Design with User Modelling based on Machine Learning

Autores: Olga C. Santos
Localización: Inteligencia artificial: Revista Iberoamericana de Inteligencia Artificial, ISSN-e 1988-3064, ISSN 1137-3601, Vol. 16, Nº. 51, 2013, págs. 61-64
Idioma: inglés
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Resumen
- This paper summarizes the main contributions of the PhD Dissertation with the same title, which focused on adding personalization support in existing learning management systems by considering some artificial intelligence techniques (i.e. user modelling, web usage mining, machine learning, recommendation strategies and human computer interaction). In particular, adaptive navigation support in terms of recommendations was deployed in two learning systems through a web based recommendation service provided by a semantic educational recommender system (SERS) and making an extensive use of standards. Moreover, a user-centred design methodology (i.e. TORMES) was defined to design and formatively evaluate educational oriented recommendations.