Ai in education

Course objective is to acquire knowledge and develop skills useful for applying Artificial Intelligence technologies to teaching and learning activities and processes so as to achieve a qualified integration between the potential of machines and the attitudes of training experts.

A: Knowledge and understanding
At the end of the course, the student will:
- Know and understand the institutional, historical, and regulatory frameworks on a national and international scale that affect the adoption of Artificial Intelligence in education and teaching
- Know and understand the issues affecting the contemporary realities of education
- Know and understand the basic tools for interpreting and analyzing specific issues, in the short-, medium-, and long-term perspectives

B: Ability to apply knowledge and understanding
At the end of the study path, the students will:
- Know how to apply his or her knowledge in national and international professional settings

C: Autonomy of judgment
At the end of the course, the student will be able to:
- Make decisions and deal with complex situations through the ability to autonomously integrate their knowledge of AI in education, even when faced with partial and incomplete data and information
- Reflect on the social and ethical responsibilities related to the application of their knowledge in education and teaching
-act in accordance with a principle of responsibility and non-discrimination

D: Communication skills
At the end of the course, the student will be able to:
- Write reports and papers on issues concerning AI in education
- communicate the results of their work while respecting the principles of transparency of public action
- refer to disciplinary lexicons

E: Learning ability
At the end of the course, the student will be able to:
- Set their own methodological and content update on AI in education
- select, analyze and process the data that are the subject of their study