I. Fernandez-Castro

Publications (4)0 Total impact

• Source

  Available from: celstec.org

  Conference Proceeding: Focusing on Personal Organization to Enhance Overall E-learning

  A. Alvarez, S. Ruiz, M. Martin, I. Fernandez-Castro, M. Urretavizcaya
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  ABSTRACT: This paper describes the inclusion of a recommendation system in the MAGADI blended-learning environment. It seeks to help students with their overall study process by recommending both which courses to study for and the contents to be developed on each.
  Advanced Learning Technologies, 2009. ICALT 2009. Ninth IEEE International Conference on; 08/2009
• Source

  Available from: ehu.es

  Conference Proceeding: Generating Teacher Adapted Suggestions for Improving Distance Educational Systems with SIgMa

  M. Martin, A. Alvarez, I. Fernandez-Castro, M. Urretavizcaya
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  ABSTRACT: In this paper we present SIgMa, an adaptable feedback generation tool for teachers which gives information about course development in an educational Web environment with diagnostic capabilities. First student results are analysed using statistical calculations and data mining techniques. Afterwards, the feedback provision is carried out by a rule-based system that recognizes anomalous behaviour patterns among the analysis results and provides some suggestions for improvement which are adapted to teacher strategies and preferences by means of a teacher model. We present the main proposal and the implementation and a test of a restricted prototype.
  Advanced Learning Technologies, 2008. ICALT '08. Eighth IEEE International Conference on; 08/2008
• Source

  Available from: psu.edu

  Conference Proceeding: Adaptive learning based on variable student and domain models in Magadi

  A. Alvarez, I. Fernandez-Castro, M. Urretavizcaya
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  ABSTRACT: Magadi is an online multidomain agent based adaptive educational environment developed on the conceptual results obtained in the IRIS system. In this paper, we propose the extension of Magadi by including a teacher model and the possibility of using different student and domain views. Besides, a mechanism to adaptively select the planning rules to be used in the generation of the student adapted learning paths is provided.
  Advanced Learning Technologies, 2004. Proceedings. IEEE International Conference on; 10/2004
• Conference Proceeding: Evaluation of a hybrid self-improving instructional planner

  J.A. Elorriaga, I. Fernandez-Castro
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  ABSTRACT: This paper presents the evaluation results of a hybrid self-improving instructional planner based on the case-based reasoning technique. The hybrid approach involves the integration of a case-based instructional planner within existing intelligent tutoring systems (ITS) to enhance the pedagogical component with learning capabilities. Thus, the resulting ITSs become self-improving systems that exhibit two kinds of learning: learning from memorisation and learning from their own experiences
  Advanced Learning Technologies, 2000. IWALT 2000. Proceedings. International Workshop on; 02/2000
• Article: DETECTive: Una Herramientas de Autor para Ayuda al Aprendizaje Basado en Ejercicios. Mejoras, usos y evaluación

  B. Ferrero, I. Fernández-Castro, M. Urretavizcaya, A. Álvarez