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cs.AI2026
Causal Modelling of Support Interventions for Student Competency Assessment
Francesca Mangili, Alessandro Antonucci, Rafael Cabañas
Accurate assessment of student competencies is essential for enabling educators to identify individual needs, design targeted interventions, and evaluate the effectiveness of educa…
cs.AI2024
Intelligent tutoring systems by Bayesian nets with noisy gates
Alessandro Antonucci, Francesca Mangili, Claudio Bonesana +1
Directed graphical models such as Bayesian nets are often used to implement intelligent tutoring systems able to interact in real-time with learners in a purely automatic way. When…
cs.AI2024
Rubric-based Learner Modelling via Noisy Gates Bayesian Networks for Computational Thinking Skills Assessment
Giorgia Adorni, Francesca Mangili, Alberto Piatti +2
In modern and personalised education, there is a growing interest in developing learners' competencies and accurately assessing them. In a previous work, we proposed a procedure fo…