C8306 - EDUCARE NELLA DIMENSIONE DIGITALE E DELL'INTELLIGENZA ARTIFICIALE

Learning outcomes

At the end of the course, students will: - demonstrate knowledge and understanding of the main theoretical frameworks related to the digital society and the impact of Artificial Intelligence (AI) on educational and training processes; - demonstrate knowledge of the foundations of AI literacy and media literacy and understand their role within the educational and pedagogical aims of pedagogy; - be able to critically analyse the opportunities and risks associated with the use of digital technologies and AI systems in formal learning contexts; - be able to design educational pathways that foster digital competences and critical citizenship in the age of AI; - be able to integrate digital technologies and AI applications into innovative teaching and learning strategies, adapting them to the educational needs of individuals and groups; - demonstrate knowledge of the main European and international guidelines and frameworks related to AI education and AI literacy; - be able to reflect on the evolving role and professional identity of the pedagogist within the digital ecosystem and adapt their professional practice to different educational and cultural contexts; - be able to define educational objectives related to the use of digital technologies and Artificial Intelligence; - be able to work collaboratively to develop digital educational projects and AI-supported innovative educational practices; - be able to identify the main pedagogical, ethical, and educational issues associated with the widespread adoption of Artificial Intelligence across different educational contexts.

Course contents

Identification of the fundamental principles of Artificial Intelligence and their implications for educational contexts.

Analysis of educational models that support the integration of Artificial Intelligence into teaching and learning mediation processes.

Knowledge of the main AI-based tools and platforms applicable to innovative learning environments.

Development of AI literacy competences to promote the informed, critical, and responsible use of Artificial Intelligence in educational contexts.

Analysis of educational and training projects that integrate Artificial Intelligence to support the development of innovative practices across the different professional contexts in which pedagogists operate.

Development of independent critical reflection to identify the opportunities and challenges associated with the use of Artificial Intelligence in relation to the characteristics and educational needs of different learning contexts.

Readings/Bibliography

For all attending and non-attending students:

• Chiara Panciroli, Pier Cesare Rivoltella, Pedagogia algoritmica. Per una riflessione educativa sull'intelligenza artificiale. Morcelliana-Scholé, 2023.
• Chiara Panciroli, Pier Cesare Rivoltella (a cura di), IA in classe. Didattica con e sull'Intelligenza artificiale, Sanoma, 2025.
• Chiara Panciroli, Pier Cesare Rivoltella (a cura di), Didattica delle New Literacies, Mondadori, 2025.
  

The course programme also applies to Erasmus students. Erasmus students are invited to contact the teachers to discuss, where appropriate, any alternative arrangements for the exam.

Teaching methods

• Interactive lectures
• Group work
• Case studies
  
• Self-directed learning activities

Assessment methods

Written exam. The exam consists of two parts:

Part I: An individual exam, completed without the use of Artificial Intelligence tools, consisting of both open-ended and closed-ended questions. This part is designed to assess students' knowledge, understanding of the course content, and ability to apply the concepts covered during the course.

Part II: The production of a written exam with the support of Artificial Intelligence tools, used consciously and critically as cognitive support. This part also requires a metacognitive reflection on the interaction with AI, aimed at analysing the strategies adopted, critically evaluating the generated outputs, and discussing both the added value and the limitations of AI's contribution to the learning process and the development of the written exam.

Students with DSA or disabilities: it is recommended that they contact the responsible University office (https://site.unibo.it/studenti-con-disabilita-e-dsa/en/for-students) as soon as possible. The request for adaptation must be submitted in advance (15 days before the exam date) to the lecturer, who will assess the appropriateness of the adjustments, considering the teaching objectives.

Teaching tools

• Further reading materials and lecture slides

• Multimedia resources (images, documentary videos, film trailers, etc.)

• The University of Bologna Virtual Learning Environment

• Digital environments and Artificial Intelligence-based tools

• MOdE– Museum of Education Workshop, University of Bologna

• Seminars with experts

For students with special needs and students coming from other cultures, please contact the teacher.

Office hours

See the website of Anita Macauda

See the website of