B8302 - INTELLIGENZA ARTIFICIALE E MODELLI FORMATIVI

Learning outcomes

At the end of the course, the student: - knows the fundamental principles of Artificial Intelligence (AI) and their implications in the educational context, with particular reference to educational models; - knows technological tools and AI-based platforms that can be used in educational settings; - knows the ethical and social implications related to the use of AI in education and training; - knows theoretical models that support the integration of AI in teaching mediation processes and lifelong learning; knows the characteristics of different educational contexts and how AI can be used to address specific issues or improve training processes; is able to critically analyze and assess the potential and limitations of AI in enhancing the effectiveness of educational models; is able to promote the informed use of AI among educational professionals, fostering a critical and responsible approach; is able to identify opportunities and challenges related to the use of AI in education, through participatory design strategies and adaptation to the needs of diverse users; is able to reflect on the skills related to the use of AI in educational models; is able to develop lifelong learning projects that integrate AI to support continuous education and professional development.

Course contents

Identification of the fundamental principles of artificial intelligence and their implications in educational contexts.

Analysis of educational models that support the integration of AI into teaching mediation processes and lifelong learning.

Knowledge of the main AI-based tools and platforms applicable in innovative training settings.

Acquisition of AI literacy skills for a conscious and responsible use of artificial intelligence in educational contexts.

Analysis of continuous professional development projects that integrate AI to support lifelong learning and professional upskilling.

Development of autonomous reflections to identify both the potential and the critical issues related to the use of AI, in relation to the characteristics and needs of different educational 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), Didattica delle New Literacies, Mondadori, 2025.

Teaching methods

• Blended learning
• Group work
• Case studies
  
• Self-learning activities

Assessment methods

Written exam whit short essays

 

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

• Books and articles
• Illustrative Materials (images, video, trailer...)
• Digital platforms
• Seminars by experts

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

 

Office hours

See the website of Chiara Panciroli

See the website of Anita Macauda