Pedagoplus

Tomorrow’s Classroom Today: AI for Educators

Topic / theme

Artificial intelligence (AI) and data usage, Digital content and pedagogical practices, Digital skills and competences

At your request, the course can be structured for a different schedule (5 or 7 training days).

Sending partners

Educational organizations involved in formal, non-formal and informal learning: kindergartens, schools, adult training centers, resource centers and other relevant organisations active in the adult education field established in Erasmus+ programme countries.

Participants

20–25 adults involved in education.

Course fee

According to the Erasmus+ guide, 80 euros / training day, including course preparation, training delivery, training materials, administration costs, organisational costs and 24-hour emergency support.

Trainers

A multinational team of trainers – Portuguese, Romanian, Spanish, Greek, Cypriot, Italian and Polish – SALTO affiliated, with training experience in more than 15 European countries.

Languages used

English, Portuguese, Spanish and French. Training materials will be provided in English. Spanish and French versions are available upon request.

Profile of the participants

The participants are teachers working in kindergartens, primary and secondary schools, VET institutions or adult education organisations who are interested in understanding and using Artificial Intelligence to support teaching and learning.

No advanced technical knowledge is required. Participants should be motivated to explore innovative tools, reflect on ethical and pedagogical implications, actively engage in collaborative learning and contribute to strengthening the European dimension of their institution.

Course description

Artificial Intelligence is rapidly transforming education, offering new opportunities for personalisation, content creation and learning support. This course helps educators understand how AI works and how it can be used responsibly to enhance teaching, save time and improve student engagement.

Participants will explore practical AI tools for lesson planning, resource creation, differentiation, assessment and feedback. Special attention is given to ethical aspects such as data protection, bias, academic integrity and responsible classroom use.

The course is practice-oriented and classroom-focused. Participants will leave with ready-to-use materials and a concrete plan for integrating AI into their professional practice.

Objectives

  • Understand key concepts and current applications of AI in education
  • Explore AI tools that support lesson planning and content creation
  • Use AI to personalise learning and support differentiation
  • Apply AI for assessment, feedback and student support
  • Develop critical awareness of ethical issues, data protection and academic integrity
  • Strengthen digital competences in line with DigCompEdu
  • Design a practical AI integration strategy for the classroom or institution

Learning outcomes

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

  • Explain the role and limitations of AI in education
  • Use AI tools to generate lesson plans, activities and learning materials
  • Adapt content for different levels and learning needs
  • Create AI-supported assessment and feedback strategies
  • Identify risks related to bias, privacy and misuse of AI
  • Establish guidelines for responsible AI use with students
  • Develop and present an AI implementation plan for their educational context

Methodology

The course follows an experiential and collaborative learning approach, combining short theoretical inputs with hands-on workshops and guided practice.

Participants will:

  • explore and test a variety of AI tools
  • learn prompt design techniques for educational purposes
  • work individually and in international teams
  • analyse real classroom scenarios and case studies
  • exchange practices and reflect on ethical and pedagogical aspects
  • develop practical materials and an implementation plan

Peer learning, problem-solving tasks and project-based work are central elements of the training.

Day 1 – Understanding AI in EducationIce-breakers and team-building using AI quiz tools (e.g. Mentimeter, Kahoot).
Introduction: “What is Artificial Intelligence?” – myths, fears, and realities.
Presentation and group discussion: real AI applications in schools (chatbots, adaptive learning, digital tutors).
Workshop: exploring free AI tools for text, image, and classroom management.
Reflection: personal attitudes toward AI and the educator’s evolving role.
Day 2 – Exploring Tools that Transform LearningHands-on lab: using AI-powered tools such as ChatGPT, Canva Magic Write, Google Gemini, Diffit for Teachers, SlidesAI.
Workshop: designing AI-supported lesson materials and quizzes.
Collaborative task: “AI in the Classroom Challenge” – teams redesign a standard lesson using an AI assistant.
Gallery walk: participants present prototypes and receive peer feedback.
Daily reflection: how AI tools change classroom interaction and motivation.
Day 3 – Personalization, Creativity & Inclusion with AIInteractive lecture: how AI personalizes learning pathways.
Workshop: using adaptive tools for differentiation (Curipod, Eduaide.ai, SchoolAI).
Activity: building student profiles using anonymized data – how to adapt tasks to different needs.
Simulation: designing inclusive AI-based learning scenarios for multilingual or mixed-ability classrooms.
Creative exercise: using image/audio generation tools (Ideogram, Leonardo AI, ElevenLabs) to develop storytelling projects.
Reflection: AI for inclusion and engagement.
Day 4 – Ethics, Data, and Responsible UseCase study: “When AI gets it wrong” – analysing bias and misinformation.
Debate: AI ethics and digital citizenship – benefits vs. risks.
Workshop: designing classroom guidelines for responsible AI use.
Exploring EU policy frameworks (AI Act, DigCompEdu, Ethics Guidelines for Trustworthy AI).
Practical session: how to teach students data privacy and critical evaluation.
Group work: creating “AI Ethics Charter” for schools.
Reflection: balancing innovation with responsibility.
Day 5 – Future of Learning & School InnovationWorkshop: participants design their AI in Education Action Plan (school-level or class-level project).
Coaching circle: peer mentoring and feedback.
Team presentations: project pitches with real feedback from trainers.
Toolbox creation: compiling a shared digital folder of AI tools, lesson ideas, and resources.
Final reflection: “How will my classroom change tomorrow?”
Certification ceremony and networking session for future collaboration.

Hello, I’m Monica Iagaru, President of PedagoPlus Association France.

At PedagoPlus, we design Erasmus+ courses that feel alive. Real learning, real exchange, real impact. We bring together teachers, trainers, and education professionals who want more than theory, who want ideas they can use the very next day, confidence to innovate, and the joy of learning in an international community.

Every course is built around people, practice, and purpose. Because when educators grow, schools change, and students feel it first.

Let’s connect