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20142026
most citedShould we really use post-hoc tests based on mean-ranks?

155 citations · 171 across the 10 of their papers we have counts for

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6 papers · 1 filter

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★ 4 cited

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★ 3 cited

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…

cs.AI2021★ 2 cited

ADAPQUEST: A Software for Web-Based Adaptive Questionnaires based on Bayesian Networks

Claudio Bonesana, Francesca Mangili, Alessandro Antonucci

We introduce ADAPQUEST, a software tool written in Java for the development of adaptive questionnaires based on Bayesian networks. Adaptiveness is intended here as the dynamical ch…

cs.AI2021★ 1 cited

A New Score for Adaptive Tests in Bayesian and Credal Networks

Alessandro Antonucci, Francesca Mangili, Claudio Bonesana +1

A test is adaptive when its sequence and number of questions is dynamically tuned on the basis of the estimated skills of the taker. Graphical models, such as Bayesian networks, ar…

cs.AI2020★ 2 cited

A Bayesian Approach to Conversational Recommendation Systems

Francesca Mangili, Denis Broggini, Alessandro Antonucci +2

We present a conversational recommendation system based on a Bayesian approach. A probability mass function over the items is updated after any interaction with the user, with info…