6 citations · 20 across the 7 of their papers we have counts for
7 papers
The CTSkills App -- Measuring Problem Decomposition Skills of Students in Computational Thinking
Dorit Assaf, Giorgia Adorni, Elia Lutz +5
This paper addresses the incorporation of problem decomposition skills as an important component of computational thinking (CT) in K-12 computer science (CS) education. Despite the…
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…
Designing the virtual CAT: A digital tool for algorithmic thinking assessment in compulsory education
Giorgia Adorni, Alberto Piatti
Algorithmic thinking (AT) is a critical skill in today's digital society, and it is indispensable not only in computer science-related fields but also in everyday problem-solving.…
FADE-CTP: A Framework for the Analysis and Design of Educational Computational Thinking Problems
Giorgia Adorni, Alberto Piatti, Engin Bumbacher +5
In recent years, the emphasis on computational thinking (CT) has intensified as an effect of accelerated digitalisation. While most researchers are concentrating on defining CT and…
Modelling Assessment Rubrics through Bayesian Networks: a Pragmatic Approach
Francesca Mangili, Giorgia Adorni, Alberto Piatti +2
Automatic assessment of learner competencies is a fundamental task in intelligent tutoring systems. An assessment rubric typically and effectively describes relevant competencies a…
Limits of Learning about a Categorical Latent Variable under Prior Near-Ignorance
Alberto Piatti, Marco Zaffalon, Fabio Trojani +1
In this paper, we consider the coherent theory of (epistemic) uncertainty of Walley, in which beliefs are represented through sets of probability distributions, and we focus on the…