6 citations · 24 across the 12 of their papers we have counts for
12 papers
Towards an intelligent assessment system for evaluating the development of algorithmic thinking skills: An exploratory study in Swiss compulsory schools
Giorgia Adorni
The rapid digitalisation of contemporary society has profoundly impacted various facets of our lives, including healthcare, communication, business, and education. The ability to e…
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…
Investigating GANsformer: A Replication Study of a State-of-the-Art Image Generation Model
Giorgia Adorni, Felix Boelter, Stefano Carlo Lambertenghi
The field of image generation through generative modelling is abundantly discussed nowadays. It can be used for various applications, such as up-scaling existing images, creating n…
Simulation of robot swarms for learning communication-aware coordination
Giorgia Adorni
Robotics research has been focusing on cooperative multi-agent problems, where agents must work together and communicate to achieve a shared objective. To tackle this challenge, we…
Neural networks for learning personality traits from natural language
Giorgia Adorni
Personality is considered one of the most influential research topics in psychology, as it predicts many consequential outcomes such as mental and physical health and explains huma…
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…
Learning Relative Interactions through Imitation
Giorgia Adorni, Elia Cereda
In this project we trained a neural network to perform specific interactions between a robot and objects in the environment, through imitation learning. In particular, we tackle th…
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…