Digital Education and Artificial Intelligence Key Tools for Future Learning
A professional Erasmus+ course for teachers, trainers, school leaders and educational professionals who want to effectively integrate digital technologies and artificial intelligence into teaching practice.

Course Description
Digital Education and Artificial Intelligence: Key Tools for Future Learning is a professional development course designed for teachers, trainers, school leaders, and educational professionals who want to effectively integrate digital technologies and artificial intelligence into their teaching practice.
As education continues to evolve in response to technological innovation, educators need practical knowledge and skills to use digital tools and AI responsibly, efficiently, and meaningfully.
Participants will explore how AI can support lesson planning, content creation, personalized learning, formative assessment, feedback processes, learning analytics, and classroom management.
Methodology
This course is based on experiential learning, collaborative learning, practical workshops, case-study analysis, peer learning, project-based activities, reflective practice, and hands-on exploration of digital and AI tools.
Participants will engage in guided demonstrations, practical exercises, collaborative lesson design activities, classroom simulations, peer discussions, and problem-solving tasks.
By the end of the course, participants will be able to:
- Understand the foundations of digital education and artificial intelligence.
- Identify opportunities for AI integration in teaching and learning.
- Use AI tools to support lesson planning, content creation, and assessment.
- Create engaging and interactive digital learning experiences.
- Apply AI-powered feedback and personalized learning strategies.
- Improve student engagement through innovative digital tools.
- Evaluate digital and AI resources for educational purposes.
- Promote responsible, ethical, and safe use of artificial intelligence.
- Strengthen digital literacy and future-ready competencies.
- Design technology-enhanced learning activities for diverse learners.
- Collaborate with colleagues using digital platforms and AI-supported tools.
- Develop a personal action plan for digital and AI integration.
Available Dates & Locations
5-Day Training Programme
Foundations of Digital Education and Artificial Intelligence
Topics
- Understanding digital education in modern schools.
- Introduction to artificial intelligence in education.
- Opportunities and challenges of AI integration.
- Digital transformation of teaching and learning.
- Responsible and ethical use of AI.
Tasks
- Course introduction and participant networking.
- Digital competence self-assessment.
- Exploring AI applications in education.
- Group discussions on educational innovation.
- Reflection activities.
AI Tools for Teaching and Learning
Topics
- AI-powered lesson planning.
- Content generation and resource development.
- Personalized learning with AI.
- Classroom productivity tools.
- AI-supported educational resources.
Tasks
- Hands-on exploration of AI tools.
- Workshop on lesson planning with AI.
- Creation of teaching materials.
- Peer collaboration activities.
- Practical classroom simulations.
Student Engagement and Digital Learning Design
Topics
- Interactive digital learning environments.
- Student motivation and engagement.
- Gamification and adaptive learning.
- Digital storytelling and multimedia learning.
- Inclusive digital learning practices.
Tasks
- Designing interactive learning activities.
- Digital content creation workshop.
- Collaborative project development.
- Peer review sessions.
- Group problem-solving exercises.
Assessment, Feedback and Learning Analytics
Topics
- AI-supported assessment strategies.
- Formative and summative digital assessment.
- Automated feedback systems.
- Learning analytics and student progress monitoring.
- Ethical considerations in educational data use.
Tasks
- Creating digital assessment tools.
- Designing AI-supported feedback activities.
- Assessment case-study analysis.
- Practical workshop on learning analytics.
- Reflection and discussion activities.
Future Learning and Implementation Planning
Topics
- Emerging technologies in education.
- Future trends in artificial intelligence.
- Building sustainable digital learning strategies.
- Developing innovation in educational institutions.
- Professional growth in digital education.
Tasks
- Development of a personal AI integration plan.
- Presentation of participant projects.
- Peer feedback and collaborative reflection.
- International networking activities.
- Course evaluation and certification ceremony.
Objectives of the Mobility Experience
- Strengthen teachers’ digital and AI competencies.
- Promote effective and responsible AI integration in education.
- Improve digital teaching and learning practices.
- Enhance student engagement through innovative technologies.
- Develop practical skills for AI-supported assessment and feedback.
- Foster digital literacy and future-ready skills.
- Promote ethical and responsible use of emerging technologies.
- Encourage international cooperation and exchange of good practices.
Type of Certification Awarded
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