By offering a large number of highly diverse resources, learning platforms have been attracting lots of participants, and the interactions with these systems have generated a vast amount of learning-related data. Their collection, processing and analysis have promoted a significant growth of machine learning and knowledge discovery approaches and have opened up new opportunities for supporting and assessing educational experiences in a data-driven fashion.

In the past, machine learning and decision-making have been treated as independent research areas. However, with the increasing emphasis on human-centered AI, there has been a growing interest in the understanding of how these two research fields interplay and can be jointly addressed to propose novel technological solutions having humans at their center.

Lunedì 15 aprile 2024 nell'Aula Magna Nuova della Sapienza a Pisa si svolgerà una Giornata di studi sul tema de "Le regole dell’Intelligenza Artificiale".
L'evento é organizzato insieme ai Dottorati in Scienze giuridiche, Intelligenza artificiale nonché quello in studi religiosi e con il progetto FAIR.

The increasing amount of learning data, originated from a variety of learning contexts (e.g., Massive Open Online Courses - MOOCs, intelligent tutoring systems, and flipped classroom courses) is soliciting interesting educational research questions. Notable research directions include exploring and understanding how students learn and how people teach, as well as developing strategies for supporting learners and teachers effectively.

The 2024 edition of the SoBigData summer school will focus on how data can be used for social good, and this topic will be explored around five different thematic areas: European Framework and Communities, Trustworthy and Ethical AI, Ecology and Green development, Health, Technology and AI.