An Architecture for Developing Educational Recommender Systems

نویسندگان

  • Maritza Bustos-López
  • Raquel Vásquez-Ramírez
  • Giner Alor-Hernández
چکیده

The great amount of educational resources available on educational repositories enriches the learning process. However, it raises a new challenge: the need to provide support to the location of those resources that meet the needs, goals and preferences of each student. The location of useful educational resources to support the learning process is addressed by using recommender systems. Recommender systems are a tool to help student find information quickly and recommend new items of interest to the active student based on their preferences. In this paper, we propose a generic architecture for developing educational recommender systems independent of the type of recommendation generated. Also, we identify main features of an educational recommender system. These features are important components to achieve the objectives that have educational recommender systems in order to provide accurate information to students according to their preferences, user profile and learning objectives.

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عنوان ژورنال:
  • Research in Computing Science

دوره 106  شماره 

صفحات  -

تاریخ انتشار 2015