# AI for Education & Teaching: save time, improve learning design

> Save preparation time while improving learning design, assessment and student guidance.

Educators practise lesson planning, differentiation, feedback and assessment redesign while addressing academic integrity, student AI literacy, privacy and the need for human pedagogical judgement.

## What this program changes in practice

Education cannot treat AI as only a productivity tool because the way a task is completed is often part of the learning itself. A faster lesson plan can help an educator, while an automatically completed student task may remove the thinking the activity was designed to reveal. This workshop helps educators make that distinction, redesign learning and assessment where necessary, and give students guidance that is practical enough to use rather than a list of abstract warnings.

The session is not a fixed sequence of demonstrations. The facilitator works with the team on Teaching tasks and boundaries, Lesson design and adaptation, Feedback and assessment, using ChatGPT, AI search & deep research, Your approved AI tools when those systems are approved and available. Participants compare first results, make missing context visible and improve the work together. They learn not only which request works, but why an output is reliable enough to move into the next working step.

The value should not end when people leave the room. Exercises therefore produce concrete outputs such as Lesson-planning template, Redesigned assessment activity, Student AI guidance. They give colleagues a traceable starting point, show where human review is still required and make the next pilot smaller and more realistic. Optional follow-up work can build on those artefacts instead of beginning again with another general introduction.

## What an AI Workshop looks like

These are photographs from real AI Workshop sessions in Switzerland—not generated illustrations. The captions preserve the actual session context, even when an image is used to show a wider part of the learning experience.

![A participant raises a question while the rest of the room continues the exercise. Innovation Time Lausanne × AI Workshop · UNIL · May 2026.](https://aiworkshop.ch/images/evidence/university-ai-workshop-participant-question-lausanne.webp)

_A participant raises a question while the rest of the room continues the exercise · Innovation Time Lausanne × AI Workshop · UNIL · May 2026_

![Physical method cards make the discussion and review steps visible. Earlier AI Workshop session · Lausanne.](https://aiworkshop.ch/images/evidence/ai-learning-method-cards-lausanne.webp)

_Physical method cards make the discussion and review steps visible · Earlier AI Workshop session · Lausanne_

![Physical method cards make the discussion and review steps visible. Innovation Time Lausanne × AI Workshop · UNIL · May 2026.](https://aiworkshop.ch/images/evidence/university-ai-workshop-agent-design-method-cards-lausanne.webp)

_Physical method cards make the discussion and review steps visible · Innovation Time Lausanne × AI Workshop · UNIL · May 2026_

![The facilitator supports a participant during an individual exercise. Earlier AI Workshop session · Lausanne.](https://aiworkshop.ch/images/evidence/ai-workshop-facilitator-training-session-lausanne.webp)

_The facilitator supports a participant during an individual exercise · Earlier AI Workshop session · Lausanne_

## Program facts

- Recommended format: Focused workshop · 4 hours
- Alternative formats: Core workshop · 4–6 hours
- Delivery: On-site / in person, online, or hybrid
- Languages: Delivered in English, French or German
- Prerequisites: No technical prerequisite; exercises use approved tools and non-sensitive examples.
- Audience: Teachers, lecturers, learning designers, faculty teams and education leaders.
- Reviewed: 2026-07-10

## Tools participants use

- **ChatGPT:** Draft, analyse, research and turn recurring work into reusable team instructions.
- **AI search & deep research:** Find, compare and cite current sources, then separate evidence from interpretation.
- **Your approved AI tools:** Exercises adapt to the systems, licences and data boundaries your organisation has approved.

## Outcomes

- Use AI to strengthen lesson preparation
- Adapt material without losing learning intent
- Redesign assessment for an AI-rich environment
- Give students clear responsible-use guidance

## Practical syllabus

### 1. Teaching tasks and boundaries

Choose where AI helps preparation and where educator judgement remains essential.

**Working output:** Lesson-planning template

### 2. Lesson design and adaptation

Create activities, examples and accessible variants tied to learning goals.

**Working output:** Redesigned assessment activity

### 3. Feedback and assessment

Improve feedback and redesign tasks that reveal student thinking.

**Working output:** Student AI guidance

### 4. Academic integrity and literacy

Set transparent expectations and teach students how to question AI outputs.

**Working output:** Privacy and review checklist

### 5. Privacy and subject workflow

Define data boundaries and build one workflow for the educator’s context.

**Working output:** Lesson-planning template

## What the team takes away

- Lesson-planning template
- Redesigned assessment activity
- Student AI guidance
- Privacy and review checklist

## Prepared delivery

- Sponsor alignment call
- Short participant questionnaire
- Examples adapted to your work
- Facilitated live practice
- Digital resources
- Concise facilitator summary

## Frequently asked questions

### What will our team achieve in the AI for Education workshop?

Save preparation time while improving learning design, assessment and student guidance. The practical outcomes are: Use AI to strengthen lesson preparation; Adapt material without losing learning intent; Redesign assessment for an AI-rich environment; Give students clear responsible-use guidance.

### Who is the AI for Education workshop designed for?

Teachers, lecturers, learning designers, faculty teams and education leaders.

### Which tools will participants use?

The practical stack includes ChatGPT, AI search & deep research, Your approved AI tools. Exercises are adapted to the licences and systems your organisation has approved.

### How long is the workshop and how is it delivered?

The recommended format is Focused workshop · 4 hours. Every core workshop is designed to stay within four to six hours; alternatives include Core workshop · 4–6 hours. Choose an in-person session at your organisation or an agreed venue, a fully online workshop, or a hybrid format. Delivery is available in English, French or German.

### What preparation is required?

No technical prerequisite is required. We hold a short sponsor alignment call and participant questionnaire, then adapt examples to approved tools and non-sensitive work.

### What does the team take away?

The working package includes Lesson-planning template, Redesigned assessment activity, Student AI guidance, Privacy and review checklist, digital resources and a concise facilitator summary.

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Provider: AI Workshop Switzerland  
Canonical page: https://aiworkshop.ch/workshops/ai-for-education/  
Contact: hello@aiworkshop.ch