The act of learning is becoming more and more sophisticated, thanks to several models and tools available today, like MOOCs, personalization, social networks, Web 2.0, gamification and others. This vast landscape leads to a huge amount of datasets thus the Big Data paradigm is also being adopted. Joined with Big Data is the emergency of extracting information about students' learning interactions and return them to teachers (learning analytics). According to this scenario, in this paper we introduce the e-learning platform currently used at University of Catania. The platform also collects data about all these students activities acting as a Big Data base for further learning analytics.
|Titolo:||Monitoring students activities in CS courses|
|Data di pubblicazione:||2016|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|