Integrating Social Media into an Instructional Design Support System

This paper is the result of a collaboration between the University of Genoa and Middle East Technical University Northern Cyprus Campus about the enhancement of a recommender system that supports academics to integrate social networking and Web 2.0 tools for language education. Starting from a survey about current usage of social media in education and language teaching, the paper describes the extension of the L-Max Ontology to support teachers in building learning activities using Twitter, in relation to specific competences to be developed, specific learning goals and contextual constraints. To test the extended version of the recommender we performed a mockup evaluation based on the L-Max Ontology.