Ricerc@Sapienza

In the last years, the design and implementation of web-based education systems has grown exponentially, spurred by the fact that neither students nor teachers are bound to a specific location and that this form of computer-based education is virtually independent of any specific hardware platform. These systems accumulate a large amount of data: educational data mining and learning analytics are the two much related fields of research with the aim of using these educational data to improve the learning process.

In this paper we discuss the use of Analytics in oii-web, an online programming contest training system. We first provide an overview of the challenges in training for programming contests. Then we discuss the data collected in these years using oii-web, a platform devoted to the training of students for the Italian Olympiads in Informatics (Olimpiadi Italiane di Informatica-OII), and analyze them comparing two distinct groups of users in two distinct platforms built on oii-web, one devoted to students and one to their teachers.