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In this paper, we compare several deep and surface state-of-the-art machine learning methods for risk prediction in problems that can …

Online courses and e-degrees, although present since the mid-1990, have received enormous attention only in the last decade. Moreover, …

This paper compares machine learning methods for risk prediction in event trajectories and provides insights on their reproducibility and applicability.

The recent diffusion of online education (both MOOCs and e-courses) has led to an increased economic and scientific interest in …

An Italian presentation about the current research projects of the lab. As research project for the “AI for Education” workshop, I presented the state-of-the-art in EDM, and proposed to solve the student dropout problem with Hierarchical Attention Networks (HANs).