6 citations · 24 across the 12 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…