Courses

This course aims to help educators explore how artificial intelligence (AI) technologies can be integrated into their classrooms. Participants will learn how to use AI tools to foster innovation in education and enhance student-centered learning processes. The course content aligns with the EU’s priorities in Digital Transformation and Sustainability Goals.

Course Methodology

The course is based on activity-based learning and group work. Participants will engage in hands-on activities with AI tools and develop projects that can be integrated into their educational environments. Practical activities will be conducted daily, while theoretical content will be kept brief. In line with Erasmus+ priorities, the course will cover topics such as sustainability, inclusion, and democratic participation, all linked to AI.

• To teach participants how to use AI technologies in education.
• To develop projects aimed at digital transformation and sustainable education.
• To teach methods that support equal opportunities and democratic participation in education.
• To integrate AI-supported teaching strategies into educational environments.

• Participants will be able to apply AI-supported education strategies in their classrooms.
• They will develop projects aligned with Erasmus+ priorities focused on digital transformation and sustainability.
• They will learn and implement methods that promote equality of opportunity and diversity in education.
• Participants will create projects that enhance democratic participation through AI.

Day 1: AI Fundamentals and Digital Transformation

• Icebreaker Activity (Name Circle and Common Interests)
• AI and Digital Transformation in Education
• What is AI? Applications in Education
• Snack and Coffee Break
• Group Work: AI-Based Classroom Applications
• Coffee Break
• Digital Transformation and Innovation in Education with AI

Day 2: AI and Personalized Learning

• Icebreaker Activity (Brainstorming)
• Personalized Learning Models and AI
• Group Work: AI-Based Personalized Learning Models
• Snack and Coffee Break
• Project Presentations
• Coffee Break
• Inclusion and Diversity: Equal Opportunities in Education with AI

Day 3: AI-Assisted Assessment and Analysis

• Icebreaker Activity (Collaboration Game)
• Evaluating Student Performance with AI
• Activity: Developing AI-Based Assessment Tools
• Snack and Coffee Break
• Group Work: AI-Based Assessment Systems
• Coffee Break
• Sustainable Education and AI

Day 4: Innovation with AI

• Innovation Strategies in Education with AI
• Activity: Classroom Innovation Project
• Snack and Coffee Break
• Project Presentations
• Coffee Break
• AI and Democratic Participation in Education

Day 5: Course Conclusion

• General Course Evaluation
• Evaluation Survey and Feedback
• Snack and Coffee Break
• Participants’ Future Projects and Collaborations
• Coffee Break
• Certificate Ceremony

• Participants will receive their certificates.
• Participants will provide a general evaluation of the course and complete the event survey.
• Participants will receive course materials, videos, photos, and PDF documents in both digital and print formats.

Follow-up and Support

After the course, participants will receive all course materials both digitally and in print. An email group will be created for idea exchange, and self-evaluation materials will be provided.

*Please note that course activities and content may vary depending on participants’ preferences and the instructor leading the session. Any changes to the course are at the discretion of the instructor. If there is a specific topic you would like to include in the course content, please let us know in advance.