AI Powered Pedagogy Transforming Education for the Future
A professional Erasmus+ course for teachers who want to understand, evaluate and effectively integrate artificial intelligence into teaching and learning processes.
Course Description
AI Powered Pedagogy: Transforming Education for the Future is a professional development course designed for teachers who want to understand, evaluate, and effectively integrate artificial intelligence into teaching and learning processes.
Artificial Intelligence is rapidly transforming education by providing new opportunities for personalization, assessment, content creation, student engagement, and administrative efficiency.
Participants will explore the fundamentals of AI, practical AI tools for educators, personalized learning pathways, AI-assisted assessment, content generation, learning analytics, digital ethics, data privacy, and responsible AI implementation in schools.
Methodology
This course is based on experiential learning, project-based learning, collaborative learning, case-study analysis, inquiry-based learning, reflective practice, problem-solving activities, digital learning, peer learning, and practical classroom applications.
Participants will engage in hands-on workshops using AI tools, collaborative lesson design activities, classroom simulations, group discussions, innovation challenges, and practical implementation projects.
By the end of the course, participants will be able to:
- Understand the fundamentals of Artificial Intelligence and its role in education.
- Identify opportunities and challenges of AI integration in teaching and learning.
- Use AI-powered tools to support lesson planning and content creation.
- Design personalized learning experiences using AI technologies.
- Enhance student engagement through AI-supported learning activities.
- Apply AI-assisted assessment and feedback strategies.
- Analyze educational data to support student learning.
- Evaluate ethical considerations related to AI in education.
- Promote responsible and safe use of AI technologies.
- Design AI-enhanced educational projects and learning activities.
- Develop strategic plans for AI implementation in educational institutions.
- Strengthen digital competence and innovation skills for future-oriented education.
Available Dates & Locations
5-Day Training Programme
Foundations of Artificial Intelligence in Education
Topics
- Introduction to Artificial Intelligence.
- Understanding AI concepts and terminology.
- Current applications of AI in education.
- Opportunities and challenges for teachers.
- Future trends in AI-enhanced learning.
Tasks
- Course introduction and participant networking.
- Exploring AI tools for educators.
- Group discussions on AI in education.
- Analysis of educational AI case studies.
- Reflection activities and experience sharing.
AI Tools for Teaching and Content Creation
Topics
- AI-powered lesson planning.
- Content generation and instructional design.
- Creating learning materials with AI.
- AI-assisted research and resource development.
- Productivity tools for educators.
Tasks
- Hands-on workshop with AI tools.
- Designing AI-supported learning materials.
- Collaborative lesson development.
- Peer review and feedback activities.
- Sharing classroom implementation ideas.
Personalized Learning and Student Support
Topics
- Adaptive learning technologies.
- Personalized learning pathways.
- AI-supported differentiation.
- Learning analytics and student progress monitoring.
- Supporting diverse learners through AI.
Tasks
- Workshop: Designing personalized learning experiences.
- Analysis of adaptive learning platforms.
- Development of differentiated learning activities.
- Group discussions and collaborative planning.
- Classroom scenario simulations.
Assessment, Feedback and Student Engagement
Topics
- AI-powered assessment methods.
- Automated feedback systems.
- Student engagement through AI tools.
- Gamification and intelligent learning systems.
- Evaluating learning outcomes with AI.
Tasks
- Practical assessment workshop.
- Creating AI-supported evaluation tools.
- Designing engagement-focused activities.
- Collaborative project development.
- Peer feedback and reflection sessions.
Ethics, Innovation and Future Implementation
Topics
- Ethical considerations in AI use.
- Data privacy and digital responsibility.
- Bias, transparency and responsible AI.
- Strategic planning for AI integration.
- Building future-ready educational environments.
Tasks
- Ethical AI case-study analysis.
- Development of institutional AI action plans.
- Presentation of participant projects.
- International networking session.
- Course evaluation and certification ceremony.
Objectives of the Mobility Experience
- Strengthen teachers’ digital and AI-related competencies.
- Promote innovative and future-oriented teaching practices.
- Support personalized and student-centered learning.
- Improve assessment and feedback processes through AI.
- Encourage responsible and ethical AI use in education.
- Enhance student engagement through emerging technologies.
- Foster collaboration among educators from different European countries.
- Support educational transformation through effective AI integration.
Type of Certification Awarded
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