Courses

This course aims to teach educators how to integrate artificial intelligence (AI) into personalized learning processes to enhance educational outcomes. AI can tailor learning experiences to meet individual student needs, improving both efficiency and student performance. Aligned with the 2021-2027 Erasmus+ Programme and its focus on digital transformation, this course highlights how digital tools and AI can revolutionize education.
Participants will explore how to use AI-powered tools, data analytics, and personalized learning strategies in the classroom. Throughout the course, they will work on projects and learn how AI can offer new opportunities for creating adaptive learning environments.

This course follows an activity-based, hands-on, and collaborative methodology. Theoretical sessions will be brief (a maximum of 1 hour per day), with a focus on practical AI-driven applications and strategies. Participants will be encouraged to experiment with digital tools and AI-powered solutions that enhance teaching and learning experiences.
Educators will learn how to integrate tools such as Padlet, Google Classroom, and AI-based student assessment tools into their teaching processes. They will also explore how to optimize personalized learning experiences by using these tools in the classroom.

• Teach participants how to apply AI-powered learning strategies in education.
• Develop personalized learning models that enhance student performance.
• Use data analytics to assess student performance and provide feedback.
• Integrate digital tools into education, supporting the digital transformation in schools.

• Participants will be able to use AI-powered tools to design lesson plans and create personalized learning strategies.
• Participants will use data analytics to assess student performance and provide data-driven feedback.
• Participants will organize activities that increase student engagement and performance using digital tools.
• Participants will develop digital education projects aligned with Erasmus+ priorities.

Day 1: Introduction to Artificial Intelligence and Its Role in Education

• Icebreaker Activity: “Mind Mapping” – Participants will share their thoughts on artificial intelligence and education through a mind-mapping exercise.
• Introduction to AI in Education – The role of AI in education and its impact on digital transformation.
• Using Digital Tools with AI Applications – Tools like Google Classroom, AI-based student assessment platforms, and more.
• Project Simulation: Designing an AI-Powered Lesson Plan – Educators will develop a lesson plan using AI-powered tools to enhance personalized learning.

Day 2: Personalized Learning and Data Analytics

• Warm-up Activity: “Quick Conversations” – Participants will engage in short discussions about AI and personalized learning.
• Personalized Learning with Artificial Intelligence – How to design AI-driven teaching strategies tailored to individual student needs.
• Using Data Analytics to Assess Student Performance – How to use AI-powered data analysis tools to evaluate student performance.
• Project Presentations and Feedback – Participants will present their AI-based personalized learning projects and receive feedback.

Day 3: AI-Enhanced Pedagogy with Digital Tools

• Warm-up Activity: “Sharing Ideas” – Participants will work in groups to develop and share innovative ideas related to AI.
• Using Digital Tools with AI – Tools like Quizlet, Kahoot, and Mentimeter to enhance student engagement through AI.
• AI-Powered Strategies to Increase Student Engagement – Techniques to maximize student participation using digital and AI-powered tools.
• Project Presentations and Feedback

Day 4: Classroom Management and Assessment with AI

• Classroom Management with AI – Developing classroom management strategies using AI-powered tools.
• Using Digital Tools for Classroom Management – Tools like Google Classroom and Edmodo for class management and student assessment using AI.
• Project Presentations and Evaluation

Day 5: Course Evaluation and Future AI Projects

• Project Feedback and Evaluation – Participants will receive feedback on their AI-powered projects.
• Future Collaboration on AI Projects – Participants will discuss ideas for future collaboration on AI-driven education projects.
• Certification Ceremony and Course Cake Cutting
• Cultural Excursion Support

• 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 digital and printed materials. An email group will be created to facilitate ongoing collaboration and the sharing of ideas related to AI and digital tools in education.

*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.