Complex event processing distributed architecture for Massive Open Online Courses
Sakina Benarbia, Nabih Alaoui, Samir Bennani · 2018
Big data technologies are becoming widely used, not only for recording but also for analyzing human generated data. Indeed, the quick technological evolutions of the recent years have reached many fields especially education where the use of connected computing devices (e.g. smart devices, computers, servers, etc.) is continuously growing. The generated data in the education field is becoming extremely voluminous, especially in eLearning, (e.g. Massive Open Online Courses (Moocs)). In this regard, real time data processing has become one of the main challenges in Moocs, as data coming from diversified sources must be processed with respect to semantics. As such, this paper investigates the use of Semantic Complex Event processing in the analysis of the data generated through Moocs. This paper also presents a distributed complex event processing system for learning activities in Moocs.