Artificial intelligence is transforming education and this Erasmus staff mobility training course helps teachers and school staff stay ahead. Designed for educators at all levels, Teaching with AI: A Practical Guide gives you the hands-on skills and confidence to bring AI tools into your daily teaching practice. Whether you work in a primary school, secondary school, or any other educational setting, this course is built around the real challenges and opportunities you face every day.

 

Over five days in Valencia, Spain, you will explore how AI can support lesson planning, content creation, student feedback, and classroom management. The programme is practical from the very first day - you will work with real AI tools, try them out in realistic teaching scenarios, and leave with ideas you can apply straight away. No technical background is needed, just a curiosity to learn and a genuine desire to improve your teaching. Our Erasmus staff mobility course is delivered in English and is open to teachers, school leaders, counsellors, and other school staff. Group sizes are kept small to ensure a personalised learning experience and plenty of time for discussion and reflection. Our trainers are experienced educators themselves, so the content is always grounded, relevant, and engaging.

 

This Erasmus course brings together educators from across Europe, creating a unique opportunity to share experiences, exchange ideas, and build lasting professional connections. The international atmosphere is one of the most valued aspects of Erasmus+ training, and our courses are designed to make the most of that diversity. You will leave not only with new skills but also with a broader European perspective on education.

 

This course is fully eligible for Erasmus+ KA1 funding, covering course fees, travel, accommodation, and subsistence costs for eligible participants. If your school or institution has an Erasmus+ accreditation or a KA1 project, this course fits perfectly within your mobility plan. We are happy to provide all the necessary documentation to support your application.

By the end of this course, participants will be able to:

 

Understand the fundamentals of artificial intelligence and how it applies to education

Identify and use a range of AI tools relevant to their teaching context

Integrate AI into lesson planning, content creation, and classroom activities

Use AI to personalise learning and better support diverse student needs

Apply AI tools to save time on administrative and assessment tasks

Evaluate AI-generated content critically and use it responsibly in the classroom

Understand the ethical implications of AI in education, including data privacy and bias

Foster AI literacy among their students in an age-appropriate and meaningful way

Collaborate with fellow educators across Europe to share AI-related practices

Return to their school with a concrete action plan for implementing AI in their teaching

Lessons will take place from Monday to Friday in the morning hours. (09:30-14:30, 25 hours in total) 

 

Day 1 - Monday: Welcome and Understanding AI in Education

 

Welcoming and Course Overview: Introduction to the course, its objectives, and expected outcomes.

School Presentations: Brief presentations by participants about their schools and their current experience with AI and technology in education.

What is AI?: An accessible introduction to artificial intelligence: what it is, how it works, and why it matters for education today.

AI in the World Around Us: Exploring how AI already shapes everyday life and what this means for teachers and learners.

Group Discussion: Sharing perceptions, expectations, and concerns about AI in the classroom.

 

Day 2 - Tuesday: AI for Lesson Planning and Content Creation

 

AI as a Teaching Assistant: Understanding how AI can support the preparation and planning process for educators.

Designing Lessons with AI: Practical exploration of how AI can be used to draft, structure, and enrich lesson plans.

Creating Educational Content: Using AI to generate and adapt teaching materials, activities, and resources for different age groups and subjects.

Hands-on Workshop: Participants design an AI-assisted lesson plan relevant to their own teaching context.

 

Day 3 - Wednesday: AI for Personalised Learning and Student Support

 

Understanding Personalised Learning: How AI can help educators identify and respond to diverse learner needs.

Differentiation and Adaptation: Using AI to tailor content and tasks to different ability levels and learning styles.

Supporting Struggling Learners: Exploring how AI can assist in early identification of difficulties and provide targeted support.

Group Activity: Designing an AI-supported learning experience for a mixed-ability classroom.

 

Day 4 - Thursday: Responsible and Critical Use of AI

 

Ethics and AI in Education: Understanding the ethical considerations around using AI with students, including fairness, transparency, and bias.

Data Privacy and Safety: What teachers and school staff need to know about protecting student data when using AI.

Teaching Students about AI: Strategies for developing AI literacy among pupils in an age-appropriate way.

Critical Thinking and AI: How to encourage students to question and evaluate AI-generated content.

Workshop and Discussion: Developing a responsible AI use framework for your own school context.

 

Day 5 - Friday: Implementation, Future Trends and Closing

 

AI Trends in Education: A look at where AI in education is heading and what it means for teachers and schools.

Building an AI-Ready Classroom: Strategies for embedding AI gradually and sustainably into everyday teaching practice.

Final Projects: Participants present their AI-enhanced lesson plans and key takeaways from the week.

Feedback and Reflection: Reviewing feedback on the final projects and reflecting on key learnings from the course.

Certificates of Attendance and Validation of Erasmus+ documents