Semantically enriched Massive Open Online Courses (MOOCs) platform

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