Abstract

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.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.