Learning objectives
- Understand the principles of AI generative and when to use it effectively in school.
- Plan lessons, activities and tests with the support of the language models (LLM).
- Apply techniques of prompt engineering to get output with clear, reliable, and reusable.
- Integrate AI in key inclusive (UDL, accessibility and personalization of learning.
- Treat ethical issues, privacy, quotes, and fact-checking in the production of educational.
- Optimize the work of teaching (planning, materials, rubrics, feedback) by reducing repetitive tasks.
Methodology
Path the workshop and the “learn-by-doing”: short, guided demonstrations, practical exercises on real cases, micro-challenge individual and group, with templates ready to use. Each activity produces a deliverable (tab, lesson, quiz, book, or teaching unit) immediately a reusable class. Closure with peer review, quality criteria and the checklist of ethics and trust.
Course structure
Lesson 1 — What is Artificial Intelligence (AI)
Focus: what are generative models and how they work in practice (LLM, limits, “hallucinations”, prompt basis).
Activity: comparison “prompt simple vs. prompt improved.”
Output: mini-glossary + guidelines for conscious use.
Tools: ChatGPT, Gemini, Claude.
Lesson 2: Ethics, privacy and copyright
Focus: ethical principles, bias, data protection (school context), citations and attributions are correct.
Activity: application of a checklist of ethics on a real case.
Output: draft mini-policy institute for the use of AI.
Tools: ChatGPT, Gemini, Claude.
Lesson 3 — The potential of AI in education
Focus: scenarios of use for the disciplines, differentiation, and accessibility (UDL), activities authentic.
Activity: rapid design of a micro-UDA with the objectives, expected outputs, and evaluation.
Output: tab UDA ready to use in the classroom.
Tools: ChatGPT, Gemini, Claude, Napkin (map ideas).
Lesson 4 Questions as a guideline and Prompt Engineering
Focus: transforming the learning objectives in the powerful questions; structure of the prompt (role-task-constraints-examples).
Activity: “debug prompt” on disciplinary cases.
Output: package prompt reusable (Prompt Pack) for your scope.
Tools: ChatGPT, Gemini, Claude, Napkin.
Lesson 5 — The AI as a support to the work of the teacher
Focus: planning lessons, materials, rubrics, quizzes, feedback, flow “design-build-review”.
Activity: construction of a full class 45’ (slide, card, check book, address book).
Output: set of lesson ready (slide + delivery + rating).
Tools: ChatGPT, Gemini, Claude, Range (presentations), NotebookLM (studio/synthesis of materials).
Lesson 6 Students: how to use AI in a responsible way
Focus: the rules of the classroom, transparency, quotes, the limits of the detector, the collaboration man-IA.
Activity: design of a task is authentic that includes the AI as a tool (based on evidence that is verifiable).
Output: delivery for students + rubrics of evaluation.
Tools: ChatGPT, Gemini, Claude, NotebookLM.
Lesson 7 — digital Resources for interactive teaching
Focus: create content clear, accessible and engaging (slide narrative, maps, cards).
Activity: prototype interactive lesson with the storyboard and materials-printable/digital.
Output: presentation of the Range + adapters operational ready.
Tools: product Range, Napkin, ChatGPT/Gemini/Claude (content), NotebookLM organization (sources).
Tools used
- ChatGPT
- Gemini
- Claude
- Range (presentations/slide narrative)
- Napkin (ideas, maps, and links of conceptual)
- NotebookLM (synthesis and study assisted on materials loaded)
Audience
- Teachers of primary and secondary school
- Trainers and educators
- Schools and educational institutions
- Public Administrations (sector education and training)
- Companies and educational associations
Requirements
- In presence
