Educational resources recommendation system based on agents and semantic web for helping students in a virtual learning environment
by Olavo Holanda; Rafael Ferreira; Evandro Costa; Ig Ibert Bittencourt; Jean Melo; Mario Peixoto; Willy Tiengo
International Journal of Web Based Communities (IJWBC), Vol. 8, No. 3, 2012

Abstract: This work proposes an agent-based system for helping students in the knowledge building process by providing them with recommendations of papers and blogs. The interaction starting point involves a blog context focused on a specific domain. Then, the teacher posts a topic in this blog and students express their opinions about this topic. Afterwards, the system monitors the interaction process aiming to mine the discussion to extract important attributes and information. Then, the recommender system retrieves relevant material to support dynamic interactions in the learning environment. Thus, two situations were defined one, being that the system helps the students by finding and recommending relevant and related blogs. The other, being that the system helps students by recommending papers from a digital library to provide them with formal opinions about the target topic, aiming at enriching their learning experiences. The proposed system with a case study and empirical results are described.

Online publication date: Wed, 20-Aug-2014

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