Pedagogy-First AI: Smarter Teaching, Deeper Learning
The course engages teachers in analysing, improving and enhancing their teaching and students’ learning through hands-on engagement in practical usage scenarios of Large Language Models. The concept of this course follows the “pedagogy first” principle, as well as design thinking approach. The deeper technological or computational issues behind AI technology are addressed only briefly, as the focus is on AI-empowered methods of increasing the effectivness, efficiency and creativity of teachers’ everyday job. The course addresses various aspects of enhancing teacher’s pedagogical and digital competence with the help of various AI-tools, in accordance with European framework DigCompEdu. Participants learn how to use AI for communication and collaboration, learning resource design, classroom teaching and facilitating collaborative learning projects, assessment, inclusive and adaptive learning through practical examples, individual and group tasks and guidance from trainers. The course addresses critically also potential threats and ethical aspects of using AI in education.
“Any sufficiently advanced technology is indistinguishable from magic” A.C. Clarke
What You’ll Learn:
Instead of long lectures, the experienced trainers will engage participants in hands-on individual and peer tasks, group discussions and design sessions to find creative, AI-enhanced solutions to problems the teachers might have in their everyday job. We also encourage and support participants to develop potential ideas and consortia for future Erasmus+ cooperation projects that involve innovative uses of AI in schools. By the end of the course, the participants will be able to:
- Understand AI in Education – Explain the potential and limitations of AI in education, focusing on how AI tools can support pedagogy, communication, collaboration, and assessment.
- Apply AI for Teaching & Learning – Use AI-powered tools to enhance lesson planning, instructional design, and classroom activities to improve student engagement and learning outcomes.
- Enhance Digital Competence – Develop digital competence in line with the DigCompEdu framework, using AI for communication, collaboration, content creation, and adaptive learning strategies.
- Improve Assessment with AI – Design and implement AI-supported formative and summative assessment strategies to personalize feedback and track student progress effectively.
- Foster Inclusive and Adaptive Learning – Utilize AI tools to support differentiated instruction, addressing diverse student needs, including language barriers, disabilities, and varied learning paces.
- Critically Evaluate AI’s Ethical & Social Impact – Analyze ethical considerations, potential risks, and biases in AI applications for education, ensuring responsible and fair use.
- Develop AI-Augmented Creativity & Efficiency – Leverage AI to automate administrative tasks, generate creative teaching materials, and explore new ways to engage students in collaborative and project-based learning.
- Integrate AI into Professional Practice – Design and implement an action plan to integrate AI tools effectively into everyday teaching practices while maintaining a balance between human-led pedagogy and AI augmentation.
Course Highlights:
- Pedagogy First – AI that works for teachers! This course puts teaching and learning first, showing how AI can enhance, not replace, great classroom practices.
- Hands-on learning with real classroom scenarios Forget theory-heavy lectures! You’ll experiment with AI toolsthrough practical activities and real-life teaching challenges.
- Design thinking – create, innovate, adapt! Learn how to creatively integrate AI into your teaching with a structured, step-by-step approach that fits your students’ needs.
- Think critically, teach responsibly – AI isn’t just about possibilities—it comes with challenges. This course helps you navigate AI’s ethical dilemmas and use it safely and effectively.
- Learn together, grow together – Join a community of European teachers, exchange ideas, and collaborate on AI-powered teaching strategies to bring innovation into your classroom.
- Build connections for future AI projects – This course isn’t just training—it’s an opportunity to network with fellow educators, sparking ideas for cross-border AI learning projects.
Upcoming courses
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Tickets
All tickets includes:
- Event materials
- Certificate of attendance
- School visits
- Admission to all sessions
Standard price
For standard registrations
Group price
Discounted price forgroups of 5 or more
By the end of this course, you will:
- Use AI tools to enhance lesson planning, teaching, and student engagement.
- Design AI-powered assessments to personalize feedback and track progress.
- Apply AI for inclusive learning, supporting diverse student needs.
- Develop digital skills in AI-driven communication, collaboration, and content creation.
- Critically assess AI’s ethical impact and responsible use in education.
This course is ideal for teachers, school leaders, special education teachers, and non-teaching staff in school education, adult education, and vocational education and training (VET). It is also beneficial for educators, trainers, and professionals interested in integrating AI into teaching, learning, and assessment practices. No prior AI experience is required.
A professor at Tallinn University, Estonia, and Head of its R&D Centre for Educational Technology, he has a background as a mathematics and physics teacher and school principal. For over 20 years, he has been active in teacher education and educational technology research, contributing to international projects on mobile technology and social software in education. As a board member of Euneos, Finland, he also coordinates the “Digital Turn towards 1:1 Computing” project, funded by Samsung, and is an expert in school digital innovation and change.
EdTech trainer at the NCDIE “Future Classroom Lab” Moldova, who has a special interest in artificial intelligence, robotics, and the implementation of digital educational technologies and innovations. A BSc Hons CompSci graduate at the University of East London and MEd graduate at the SPU “Ion Creangă” in Chișinău, he believes in developing education in the Republic of Moldova through STEAM and integrating a suite of innovative technologies to give students the ability to think critically, research and solve real-life problems.
This is a provisional programme, the finalized program will be shared with participants prior to the course.
Day 1, Sunday
Welcome and introduction of trainers and participants.
- Activities: Icebreakers, getting to know each other, and course expectations.
Day 2, Monday
Introduction to AI in Education
- Exploring AI’s role in teaching and learning
- Hands-on introduction to AI-powered tools
Day 3, Tuesday
AI for Lesson Planning & Digital Content Creation
- Using AI to enhance lesson design and instructional materials
- Practical workshops on AI tools for content generation
- Ethical considerations and responsible AI use
Day 4, Wednesday
AI for Assessment & Student Engagement
- AI-driven formative and summative assessment strategies
- Interactive exercises on AI-supported feedback and grading
- Case studies on AI’s impact on student engagement
Day 5, Thursday
AI for Inclusive & Adaptive Learning
- AI applications for personalized learning and accessibility
- Hands-on session on AI tools for differentiated instruction
- Group collaboration on AI-integrated teaching strategies
Day 6, Friday
Action Plan & Future Collaboration
- Developing a personal AI implementation plan
- Peer review and feedback on AI-enhanced teaching approaches
- Networking and opportunities for Erasmus+ collaboration
Day 7, Saturday
Informal networking and brainstorming for KA1/KA2 project proposals
Farewell and departure.
