Semantically enriched Massive Open Online Courses (MOOCs) platform

Massive Open Online Courses (MOOCs) are becoming an essential source of information for both students<br>and teachers. Noticeably, MOOCs have to adapt to the fast development of new technologies; they also<br>have to satisfy the current generation of online students. The current MOOCs’ Management Systems, such<br>as Coursera, Udacity, edX, etc., use content management platforms where content are organized in a<br>hierarchical structure. We envision a new generation of MOOCs that support interpretability with formal<br>semantics by using the SemanticWeb and the online social networks. Semantic technologies support<br>more flexible information management than that offered by the current MOOCs’ platforms. Annotated<br>information about courses, video lectures, assignments, students, teachers, etc., can be composed from<br>heterogeneous sources, including contributions from the communities in the forum space. These annotations,<br>combined with legacy data, build foundations for more efficient information discovery in MOOCs’<br>platforms. In this article we review various Collaborative Semantic Filtering technologies for building<br>Semantic MOOCs’ management system, then, we present a prototype of a semantic middle-sized platform<br>implemented at Western Kentucky University that answers these aforementioned requirements.