| Course Description | “AI-Powered Pedagogy: Transforming Education for the Future” is a specialized course designed exclusively for educators. This course delves into the integration of artificial intelligence (AI) in teaching, focusing on practical implementation and its impact on education. Teachers will explore AI’s role in personalized learning, student engagement, and efficient assessment methods. Furthermore, ethical considerations surrounding AI in education will be discussed. By the course’s conclusion, educators will be equipped to enhance their teaching practices with AI, ensuring their classrooms remain at the forefront of educational innovation. |
| Methodologies Of The Course | The course “AI-Powered Pedagogy: Transforming Education for the Future” employs a variety of methodologies to provide a comprehensive learning experience for educators. These methodologies include:
1. Lectures: Engage in informative lectures delivered by experts in the field of AI in education, providing foundational knowledge and insights.
2. Hands-on Workshops: Participate in practical workshops where you will have the opportunity to work with AI tools and platforms, gaining hands-on experience in implementing AI-powered solutions in educational contexts.
3. Group Discussions: Collaborate with fellow educators to discuss key concepts, share experiences, and exchange ideas on how AI can be applied effectively in teaching.
4. Practical Projects: Apply your knowledge by working on real-world projects that involve the design and implementation of AI-enhanced teaching methods, assessment tools, or learning materials.
5. Debates and Discussions: Engage in critical debates and discussions on the ethical considerations and challenges of AI in education, promoting a deeper understanding of responsible AI use.
6. Case Studies: Analyze real-world case studies and best practices from various educational institutions and organizations that have successfully integrated AI into their teaching and learning processes.
7. Collaborative Learning: Foster collaboration with peers to brainstorm and create innovative AI-driven educational solutions and strategies. These methodologies are designed to provide a well-rounded learning experience, allowing educators to acquire both theoretical knowledge and practical skills in AI-powered pedagogy. |
| Learning Outcomes | By the end of this course, participants will be able to: 1. Understand AI Fundamentals: Develop a solid understanding of the fundamentals of artificial intelligence (AI) and its applications in education. 2. Implement AI in Teaching: Effectively integrate AI-powered tools and methods into their teaching practices. 3. Personalize Learning: Create personalized learning experiences for students using AI-driven adaptive teaching strategies. 4. Enhance Student Engagement: Utilize AI techniques to enhance student engagement, motivation, and participation in the learning process. 5. Efficient Assessment: Implement AI-powered assessment and feedback mechanisms to streamline the evaluation of student performance. 6. Navigate Ethical Challenges: Discuss and navigate the ethical considerations and challenges related to the responsible use of AI in education. 7. Innovate in Education: Develop the ability to innovate and design AI-enhanced educational projects and initiatives. 8. Analyze Best Practices: Analyze and apply best practices and case studies from various educational contexts where AI has been successfully integrated. 9. Strategic Planning: Create a forward-thinking AI-powered education roadmap for their institution or organization. 10. Promote Educational Transformation: Become agents of change in education by leveraging AI to enhance teaching and learning, ultimately contributing to the transformation of education for the future. |
| Language | English |
| Duration | 5 Days |
| Type of Certification Awarded |
|
Schedule of the activities
| Online Meeting Program | – Meeting with the trainer – Presentation of info pack – Q & A session |
| Day 1: Introduction to AI in Education | – Welcome and Course Overview – Fundamentals of Artificial Intelligence – AI Applications in Education – Group Discussion on AI’s Potential in Teaching |
| Day 2: Practical Implementation | – Hands-on Workshop – Using AI Tools in Teaching – Case Studies of AI Integration in Classrooms – Designing AI-Enhanced Learning Materials – Group Project – Planning AI Integration in a Lesson |
| Day 3: Personalized Learning with AI | – Personalization in Education with AI – Adaptive Teaching Strategies – Implementing Personalized Learning Environments – Peer Feedback and Discussion on Personalization |
| Day 4: Student Engagement and Assessment | – Using AI to Enhance Student Engagement – AI-Powered Assessment Methods – Designing Effective Feedback Loops – Practical Assessment Workshop |
| Day 5: Ethical Considerations | – Ethical Implications of AI in Education – Responsible AI Use and Data Privacy – Panel Discussion on Ethical AI in Education – Group Debate on Ethical Dilemmas |
| Online Meeting Program | Araxa Edu supports your dissemination activities |
PLANNED | Zagreb, Croatia 1. October 21 – 25, 2024 2. November 11 – 15, 2024 3. January 20 – 25, 2025 4. March 31 – April 4, 2025 5. April 21 – 25, 2025 6. May 19 – 23, 2025 7. June 23 – 27, 2025 8. July 07 – 11, 2025 9. August 04 – 08, 2025
İstanbul, Türkiye 1. October 7 – 11, 2024 2. November 25 – 29, 2024 3. January 20 – 25, 2025 4. January 27 – 31, 2025 5. March 3 – 7, 2025 6. April 7 – 11, 2025 7. May 5 – 9, 2025 8. June 2 – 6, 2025 9. July 21 – 25, 2025 10. August 18 – 22, 2025
Antalya, Türkiye 1. October 14 – 18, 2024 2. November 18 – 22, 2024 3. January 20 – 25, 2025 4. January 27 – 31, 2025 5. March 10 – 14, 2025 6. April 14 – 18, 2025 7. May 12 – 16, 2025 8. June 9 – 13, 2025 9. July 28 – August 1, 2025 10. August 25 – 29, 2025
Alanya, Türkiye 1. October 14 – 18, 2024 2. November 18 – 22, 2024 3. January 20 – 25, 2025 4. January 27 – 31, 2025 5. March 10 – 14, 2025 6. April 14 – 18, 2025 7. May 12 – 16, 2025 8. June 9 – 13, 2025 9. July 28 – August 1, 2025 10. August 25 – 29, 2025
Fethiye, Türkiye 1. October 7 – 11, 2024 2. November 11 – 15, 2024 3. January 20 – 25, 2025 4. January 27 – 31, 2025 5. March 24 – 28, 2025 6. April 28 – May 2, 2025 7. May 26 – 30, 2025 8. June 30 – July 4, 2025 9. July 7 – 11, 2025 10. August 11 – 15, 2025
Prague, Czech Republic 1. October 14 – 18, 2024 2. November 18 – 22, 2024 3. January 20 – 25, 2025 4. January 27 – 31, 2025 5. March 17 – 21, 2025 6. April 21 – 25, 2025 7. May 19 – 23, 2025 8. June 16 – 20, 2025 9. July 14 – 18, 2025 10. August 4 – 8, 2025
Barcelona, Spain 1. October 7 – 11, 2024 2. November 11 – 15, 2024 3. January 20 – 25, 2025 4. January 27 – 31, 2025 5. March 24 – 28, 2025 6. April 28 – May 2, 2025 7. May 26 – 30, 2025 8. June 30 – July 4, 2025 9. July 7 – 11, 2025 10. August 11 – 15, 2025
Thessaloniki, Greece 1. October 21 – 25, 2024 2. November 4 – 8, 2024 3. January 20 – 25, 2025 4. January 27 – 31, 2025 5. February 10 – 14, 2025 6. March 31 – April 4, 2025 7. April 21 – 25, 2025 8. May 19 – 23, 2025 9. June 23 – 27, 2025 10. July 7 – 11, 2025 11. August 18 – 22, 2025
Lisbon, Portugal 1. October 21 – 25, 2024 2. November 4 – 8, 2024 3. January 20 – 25, 2025 4. January 27 – 31, 2025 5. February 10 – 14, 2025 6. March 31 – April 4, 2025 7. April 21 – 25, 2025 8. May 19 – 23, 2025 9. June 23 – 27, 2025 10. July 7 – 11, 2025 11. August 18 – 22, 2025
Paris, France 1. October 14 – 18, 2024 2. November 18 – 22, 2024 3. January 20 – 25, 2025 4. January 27 – 31, 2025 5. March 17 – 21, 2025 6. April 21 – 25, 2025 7. May 19 – 23, 2025 8. June 16 – 20, 2025 9. July 14 – 18, 2025 10. August 4 – 8, 2025
Rome, Italy 1. October 14 – 18, 2024 2. November 18 – 22, 2024 3. January 20 – 25, 2025 4. January 27 – 31, 2025 5. March 10 – 14, 2025 6. April 14 – 18, 2025 7. May 12 – 16, 2025 8. June 9 – 13, 2025 9. July 28 – August 1, 2025 10. August 25 – 29, 2025 |
You can also make requests for different dates and locations when filling out the pre-registration form, aside from the planned program.
The course fee is 80 euros per participant per day. This fee does not cover some expenses like accommodation, travel, etc. Costs covering enrollment fees for staff mobility format ‘Courses and training’. ( Source: Erasmus+ Program Guide)
Looking for a dynamic and transformative Erasmus+ KA1 staff training course? You’ve found it! Our cutting-edge program is designed to empower educators and staff with the latest insights and skills in AI-powered pedagogy. Discover how to harness artificial intelligence to revolutionize your teaching methods and make a lasting impact on your institution. Join us for an Erasmus+ KA1 course that promises to reshape education for the future. Don’t miss out on this opportunity to enhance your professional development with the best in the field. Enroll today!
