E-Learning and Intelligent Planning: Improving Content Personalization

• Antonio Garrido ^[1] ; Lluvia Morales ^[2]
  1. [1] Universidad Politécnica de Valencia

     Universidad Politécnica de Valencia

     Valencia, España

     
  2. [2] Universidad Tecnológica de la Mixteca

     Universidad Tecnológica de la Mixteca

     México

     
• Localización: Revista Iberoamericana de Tecnologías del Aprendizaje: IEEE-RITA, ISSN 1932-8540, Vol. 9, Nº. 1, 2014, págs. 1-7
• Idioma: inglés
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• Resumen

  • Combining learning objects are a challenging topic because of its direct application to curriculum generation, tailored to the students' profiles and preferences. Intelligent planning allows us to adapt learning routes (i.e., sequences of learning objects), thus highly improving the personalization of contents, the pedagogical requirements, and specific necessities of each student. This paper presents a general and effective approach to extract metadata information from the e-learning contents, a form of reusable learning objects, to generate a planning domain in a simple, automated way. Such a domain is used by an intelligent planner that provides an integrated recommendation system, which adapts, stores, and reuses the best learning routes according to the students' profiles and course objectives. If any inconsistency happens during the route execution, e.g., the student fails to pass an assessment test, which prevents him/her from continuing the natural course of the route, the system adapts and/or repairs the course to meet the new objectives.