Teaching with data: data-driven teaching labs with AI (Module 2)
Teaching with data: data-driven teaching labs with AI (Module 2)
Module 2 is devoted to the operational translation of instructional design into data-driven lab activities based on notebooks, datasets, and AI-supported development tools. Participants will work on Jupyter notebooks, workflows in Visual Studio Code, GitHub Copilot, real and synthetic datasets, with application examples and disciplinary cases. The module also addresses the design of teamworks, structured delivery, milestones, assessment rubrics and peer assessment, with a focus on transferability into their own teaching. The ultimate goal is the construction of a complete and reusable workshop kit, consisting of dataset, notebook, delivery and assessment scheme.
Dipartimento di Ingegneria Industriale
Informazioni del corso
- Related subject area
- Artificial Intelligence and Digital Technologies for Teaching (Pillars 1 and 2): the course introduces generative AI tools for instructional design, accessible to teachers of any discipline without prior computer skills. Instructional Innovations for Discipline Areas (Pillar 3 + Track B): the lab session produces teaching artifacts specific to the participant's discipline, with an optional real-world data lab for STEM teachers.
- Course duration
- September 2026
- Scientific Advisor
- Aleksandr Sakhnevych | Vincenzo Cusati | Salvatore Corcione | Agostino De Marco
- Duration in hours
- 8
- Procedure
- In the presence
- Final exam
- SI (vedi link nei dettagli)