Building a knowledge-based recommender for inclusive eLearning scenarios

Authors:
Olga C. Santos;Jesus G. Boticario
Affiliations:
aDeNu Research Group. Artificial Intelligence Department. UNED, Calle Juan del Rosal, 16. Madrid 28040. Spain, {ocsantos, jgb}@dia.uned.es;aDeNu Research Group. Artificial Intelligence Department. UNED, Calle Juan del Rosal, 16. Madrid 28040. Spain, {ocsantos, jgb}@dia.uned.es
Venue:
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Year:
2009

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Abstract

When building a knowledge-based recommender along the eLearning life cycle, the following issues have to be considered: a) the user interface design of the tools required, b) the process to design/generate the recommendations, c) the process to select the appropriate recommendations, and d) the management of the users' interactions. We are defining a user-centered evaluation approach that copes with those issues and drives the recommender building process in three consecutive steps: 1) elicitation of pedagogically sound recommendations validated by users with a collaborative review, 2) acquisition and validation of the user features to select the appropriate recommendations for the current context, and 3) analysis of the recommendations provided and evaluation of their impact on the user.