Speaker
Description
Maintaining a fair environment in the academia has
always been of high importance. Leaving ethics aside, it is a
fundamental factor for an efficient and prosperous educational
process. This process is continuously changing and evolving,
always trying to perfect itself. However, with all the benefits,
it also creates a new context for cheating and fraud, that we are
aiming to keep up with and overcome. In order to do so, we intend
to test different approaches presented in the literature, gather
their results and create an insightful set of metrics. Further,
we will use the metrics for automatically detecting fraud in the
context of Online Judge Systems. To achieve such a goal, we are
going to test, tweak some of the existing solutions and discover
links between them using a set of real submissions made by first
year students during their Data Structures practical exams.