B9066 - TECNOLOGIE DIGITALI E INTELLIGENZA ARTIFICIALE PER LA DIDATTICA

Learning outcomes

The course provides students with the theoretical and practical tools to learn about the development of digital technologies and artificial intelligence (AI) in the context of education/training, with a particular focus on the possibilities for teaching and communicating science. At the end of the course, the student will have acquired the following skills: a. knowledge of educational technologies in relation to the use of educational software, learning management platforms (LMS), scientific visualisation tools and augmented reality (AR) technologies in education; b. design online and blended learning solutions integrating digital and AI technologies, in particular for science education, using distance learning techniques and blended methods c. analyse AI-based educational applications with reference to AI-based educational software, such as virtual assistants, personalised tutoring systems and predictive learning analytics d. understand the ethical aspects of the use of digital technologies through critical analysis of use cases, with particular reference to personal data and the management of bias in algorithms e. design creative and innovative solutions for science teaching and communication using new AI technologies to make learning more interactive, engaging and motivating.

Course contents

The course explores the role of digital technologies and Artificial Intelligence (AI) in teaching and learning processes, with particular emphasis on education, science communication, and museum and scientific heritage contexts.

The course covers the following topics:

• Theoretical foundations of digital technologies and Artificial Intelligence in educational contexts.
• Analysis of the theoretical and methodological models that support the integration of digital technologies and Artificial Intelligence into instructional mediation processes.
• AI literacy competences for the informed, critical, and responsible use of Artificial Intelligence in educational contexts.
• AI-based tools and platforms for the design, management, and assessment of teaching and learning activities.
• Strategies for science communication and educational mediation in science museums and cultural heritage contexts.
• Digital technologies and Artificial Intelligence for museum education, communication, and the enhancement of cultural and scientific heritage.
• Analysis of case studies on digital innovation and the use of Artificial Intelligence in science museums.
• Design of educational pathways in physical, virtual, and hybrid learning environments.

Readings/Bibliography

• Panciroli C., Rivoltella P.C., Pedagogia algoritmica. Per una riflessione educativa sull'intelligenza artificiale, Morcelliana-Scholé, Brescia, 2023.
• Gobbi L., I nuovi musei della scienza. Un'opportunità per la scuola, FrancoAngeli, Milano, 2019.
• Gaia G., Il museo immediato. Digitale per la cultura: da Arpanet all'intelligenza artificiale, Editrice Bibliografica, Milano, 2024.
• Russo V., Il museo tra scuola e lavoro. Giovani, alleanze educative e nuove progettualità, FrancoAngeli, Milano, 2022 (capp. 2, 3 e 4).

Teaching methods

Lectures
Discussion
Group work
Case studies
Self-learning activities

Assessment methods

Oral exam

Erasmus students: Erasmus students are invited to contact the course instructor at the beginning of the course to discuss, where necessary, any adjustments to the course programme and assessment methods.

Students with specific learning disabilities (SLD) or disabilities: Students are encouraged to contact the University's dedicated support service in good time (https://site.unibo.it/studenti-con-disabilita-e-dsa/it ). The University Support Service will propose any appropriate accommodations for eligible students. Such accommodations must be submitted to the course instructor at least 15 days in advance for approval. The instructor will assess their appropriateness in relation to the intended learning outcomes of the course.

Teaching tools

• Further reading materials, case studies, and lecture slides.
• Multimedia resources (images and documentary videos).
• The University of Bologna's Virtuale platform.
• Digital environments and artificial intelligence-based tools for teaching and project activities.
• MOdE – Museum of Education of the University of Bologna

Office hours

See the website of Chiara Panciroli

See the website of Veronica Russo