Maria Cristina Carrisi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Maria Cristina Carrisi has a total of 26 co-authors. Here are the top co-authors by number of shared publications:
- Sebastiano Pennisi
Department of Mathematics and Informatics, University of Cagliari, Cagliari, Italy
22 shared publications - Tommaso Ruggeri
Department of Mathematics University of Bologna & Accademia dei Lincei Roma
6 shared publications - Takashi Arima
Department of Engineering for Innovation, National Institute of Technology, Tomakomai College, Tomakomai, Japan
3 shared publications - Jean Michel Sellier
Montreal Institute for Learning Algorithms Montreal Quebec Canada
2 shared publications M. A. Mele
Dipartimento di Matematica ed Informatica Università di Cagliari Via Ospedale 72 09124 Cagliari Italy
2 shared publications- Marcel Obounou
Department of Science, University of Yaoundé I, Yaoundé P.O. Box 812, Cameroon
2 shared publications
Latest Publications
- 17 February 2026
- Published by Springer Nature
- p. 207-219
Using AI to Train Prospective Primary School Teachers to Teach AI
- 17 February 2026
- Published by Springer Nature
- p. 207-219
Using AI to Train Prospective Primary School Teachers to Teach AI
- 17 February 2026
- Published by Springer Nature
- p. 235-241
AI Chatbots in Mathematics Classrooms: Understanding Student-AI Interactions and Teacher Integration
- 17 February 2026
- Published by Springer Nature
- p. 235-241
AI Chatbots in Mathematics Classrooms: Understanding Student-AI Interactions and Teacher Integration
- Open Access
A Structured Unplugged Approach for Foundational AI Literacy in Primary Education
Younger generations are growing up in a world increasingly shaped by intelligent technologies, making early AI literacy crucial for developing the skills to critically understand and navigate them. However, education in this field often emphasizes tool-based learning, prioritizing usage over understanding the underlying concepts. This lack of knowledge leaves non-experts, especially children, prone to misconceptions, unrealistic expectations, and difficulties in recognizing biases and stereotypes. In this paper, we propose a structured and replicable teaching approach that fosters foundational AI literacy in primary students, by building upon core mathematical elements closely connected to and of interest in primary curricula, to strengthen conceptualization, data representation, classification reasoning, and evaluation of AI. To assess the effectiveness of our approach, we conducted an empirical study with thirty-one fifth-grade students across two classes, evaluating their progress through a post-test and a satisfaction survey. Our results indicate improvements in terminology understanding and usage, features description, logical reasoning, and evaluative skills, with students showing a deeper comprehension of decision-making processes and their limitations. Moreover, the approach proved engaging, with students particularly enjoying activities that linked AI concepts to real-world reasoning. Materials: https://github.com/tail-unica/ai-literacy-primary-ed.
Open AccessA Structured Unplugged Approach for Foundational AI Literacy in Primary Education
Younger generations are growing up in a world increasingly shaped by intelligent technologies, making early AI literacy crucial for developing the skills to critically understand and navigate them. However, education in this field often emphasizes tool-based learning, prioritizing usage over understanding the underlying concepts. This lack of knowledge leaves non-experts, especially children, prone to misconceptions, unrealistic expectations, and difficulties in recognizing biases and stereotypes. In this paper, we propose a structured and replicable teaching approach that fosters foundational AI literacy in primary students, by building upon core mathematical elements closely connected to and of interest in primary curricula, to strengthen conceptualization, data representation, classification reasoning, and evaluation of AI. To assess the effectiveness of our approach, we conducted an empirical study with thirty-one fifth-grade students across two classes, evaluating their progress through a post-test and a satisfaction survey. Our results indicate improvements in terminology understanding and usage, features description, logical reasoning, and evaluative skills, with students showing a deeper comprehension of decision-making processes and their limitations. Moreover, the approach proved engaging, with students particularly enjoying activities that linked AI concepts to real-world reasoning. Materials: https://github.com/tail-unica/ai-literacy-primary-ed.
- Open Access
- 23 May 2025
- Published by Elsevier in International Journal of Non-Linear Mechanics
- Vol. 178
Dissipative relativistic extended thermodynamics of polyatomic gases in the Landau–Lifshitz description
- 23 May 2025
- Published by Elsevier in International Journal of Non-Linear Mechanics
- Vol. 178
Open AccessDissipative relativistic extended thermodynamics of polyatomic gases in the Landau–Lifshitz description
- Open Access
- 3 July 2024
- Published by Association for Computing Machinery (ACM)
- p. 206-212
Big Ideas of Cryptography in Primary School
We present a learning path on cryptography for primary school students (Grade 5), which we designed and tested. The project aims to raise initial awareness of the core ideas of modern cryptography, which are fundamental concepts for becoming informed and active citizens in modern digital society. For this reason, we designed a progression of unplugged activities (sometimes integrated with task-specific, block-based programming environments) to expose students to different cryptographic techniques, where each new activity is motivated by an analysis of the criticalities encountered previously. We used unplugged activities to show that Computer Science (CS) does not necessarily imply the use of digital devices and to allow students to focus on its general scientific principles. We describe the designed learning module, discuss the main hinges in the experiment, and reflect on the lessons learned. The final evaluation showed excellent learning outcomes and high satisfaction with the activities. As cryptography uses mathematical tools (e.g., modular arithmetic, statistics), some parts of which are within reach of primary school children but rarely taught to them, it was possible to dwell on these aspects, making them experience mathematical objects in a non-standard context, and also stimulating a greater awareness of the impact of mathematics and CS in everyday life.
- 3 July 2024
- Published by Association for Computing Machinery (ACM)
- p. 206-212
Open AccessBig Ideas of Cryptography in Primary School
We present a learning path on cryptography for primary school students (Grade 5), which we designed and tested. The project aims to raise initial awareness of the core ideas of modern cryptography, which are fundamental concepts for becoming informed and active citizens in modern digital society. For this reason, we designed a progression of unplugged activities (sometimes integrated with task-specific, block-based programming environments) to expose students to different cryptographic techniques, where each new activity is motivated by an analysis of the criticalities encountered previously. We used unplugged activities to show that Computer Science (CS) does not necessarily imply the use of digital devices and to allow students to focus on its general scientific principles. We describe the designed learning module, discuss the main hinges in the experiment, and reflect on the lessons learned. The final evaluation showed excellent learning outcomes and high satisfaction with the activities. As cryptography uses mathematical tools (e.g., modular arithmetic, statistics), some parts of which are within reach of primary school children but rarely taught to them, it was possible to dwell on these aspects, making them experience mathematical objects in a non-standard context, and also stimulating a greater awareness of the impact of mathematics and CS in everyday life.
- Open Access
- 16 December 2023
- Published by Elsevier in Annals of Physics
- Vol. 460
Monatomic gas as a singular limit of relativistic theory of 15 moments with non-linear contribution of microscopic energy of molecular internal mode
- 16 December 2023
- Published by Elsevier in Annals of Physics
- Vol. 460
Open AccessMonatomic gas as a singular limit of relativistic theory of 15 moments with non-linear contribution of microscopic energy of molecular internal mode
- 16 May 2022
- Published by Springer Nature in Partial Differential Equations and Applications
- Vol. 3 (3) , 1-21
Relativistic Kinetic Theory of Polyatomic Gases: Classical Limit of a New Hierarchy of Moments and Qualitative Analysis
- 16 May 2022
- Published by Springer Nature in Partial Differential Equations and Applications
- Vol. 3 (3) , 1-21
Relativistic Kinetic Theory of Polyatomic Gases: Classical Limit of a New Hierarchy of Moments and Qualitative Analysis
- Open Access
Relativistic Rational Extended Thermodynamics of Polyatomic Gases with a New Hierarchy of Moments
A relativistic version of the rational extended thermodynamics of polyatomic gases based on a new hierarchy of moments that takes into account the total energy composed by the rest energy and the energy of the molecular internal mode is proposed. The moment equations associated with the Boltzmann–Chernikov equation are derived, and the system for the first 15 equations is closed by the procedure of the maximum entropy principle and by using an appropriate BGK model for the collisional term. The entropy principle with a convex entropy density is proved in a neighborhood of equilibrium state, and, as a consequence, the system is symmetric hyperbolic and the Cauchy problem is well-posed. The ultra-relativistic and classical limits are also studied. The theories with 14 and 6 moments are deduced as principal subsystems. Particularly interesting is the subsystem with 6 fields in which the dissipation is only due to the dynamical pressure. This simplified model can be very useful when bulk viscosity is dominant and might be important in cosmological problems. Using the Maxwellian iteration, we obtain the parabolic limit, and the heat conductivity, shear viscosity, and bulk viscosity are deduced and plotted.
Open AccessRelativistic Rational Extended Thermodynamics of Polyatomic Gases with a New Hierarchy of Moments
A relativistic version of the rational extended thermodynamics of polyatomic gases based on a new hierarchy of moments that takes into account the total energy composed by the rest energy and the energy of the molecular internal mode is proposed. The moment equations associated with the Boltzmann–Chernikov equation are derived, and the system for the first 15 equations is closed by the procedure of the maximum entropy principle and by using an appropriate BGK model for the collisional term. The entropy principle with a convex entropy density is proved in a neighborhood of equilibrium state, and, as a consequence, the system is symmetric hyperbolic and the Cauchy problem is well-posed. The ultra-relativistic and classical limits are also studied. The theories with 14 and 6 moments are deduced as principal subsystems. Particularly interesting is the subsystem with 6 fields in which the dissipation is only due to the dynamical pressure. This simplified model can be very useful when bulk viscosity is dominant and might be important in cosmological problems. Using the Maxwellian iteration, we obtain the parabolic limit, and the heat conductivity, shear viscosity, and bulk viscosity are deduced and plotted.
- 1 October 2021
- Published by Elsevier in International Journal of Non-Linear Mechanics
- Vol. 135
Relativistic extended thermodynamics of polyatomic gases in the Landau and Lifshitz description
- 1 October 2021
- Published by Elsevier in International Journal of Non-Linear Mechanics
- Vol. 135
Relativistic extended thermodynamics of polyatomic gases in the Landau and Lifshitz description