In an era where technology is rapidly evolving, the integration of Artificial Intelligence (AI) in education represents a significant shift in how teaching and learning are approached. The Erasmus training course “AI in the Classroom: The Evolution of Teaching” is a meticulously designed 20-hour program dedicated to empowering educators with the skills and knowledge necessary to harness AI in their classrooms. Over the span of five intensive days, this course offers a deep dive into the transformative potential of AI, equipping teachers with practical tools and strategies to enhance the educational experience.
Objectives
- Understanding AI: Gain a comprehensive understanding of AI concepts, including machine learning, natural language processing, and data analytics, and their implications for education.
- Enhancing Teaching Methods: Learn how to integrate AI tools into your teaching methods to personalize learning experiences, improve student engagement, and foster a more interactive classroom environment.
- Engaging Students: Discover innovative AI-driven technologies that can make learning more engaging and accessible for students, catering to diverse learning styles and needs.
- Improving Efficiency: Explore AI applications that streamline administrative tasks, such as grading, attendance tracking, and resource management, allowing teachers to focus more on instruction.
- Ethical Considerations: Understand the ethical implications of AI in education, including issues related to data privacy, bias, and the digital divide, and learn strategies to address these challenges responsibly.
This course is designed to empower educators with a fundamental understanding of Artificial Intelligence (AI) and its applications in the field of education. Through a series of engaging lessons, participants will explore AI concepts, practical applications, and ethical considerations for integrating AI tools into their teaching methods.
- Lesson 1: Introduction to Artificial Intelligence (4 hours)
– What is Artificial Intelligence (AI)?- Brief history and evolution of AI.- Types of AI: Machine Learning, Natural Language Processing, Computer Vision.- Real-world examples of AI applications.
- Lesson 2: AI in Education (4 hours)
– The role of AI in modern education.- AI-powered personalized learning.- Virtual tutors and educational chatbots.- Case studies of AI integration in classrooms.
- Lesson 3: Creating AI-Enhanced Learning Materials (4 hours)
– Designing AI-driven educational content.- Tools and platforms for developing AI-based resources.- Adapting curriculum with AI for differentiated learning.- Practical exercises in content creation.
- Lesson 4: Ethical Considerations in AI Education (4 hours)
– Ethical dilemmas and AI in education.- Data privacy and security.- Ensuring fairness and transparency in AI-driven decisions.- Developing ethical AI guidelines for classrooms.
- Lesson 5: Future Trends in AI Education (4 hours)
– Emerging trends in AI for teaching and learning.- AI and the future of assessments.- Preparing students for an AI-driven world.- Building a roadmap for AI integration in education.
Learning outcomes
These educational objectives enable teachers to acquire key knowledge and skills to use Artificial Intelligence effectively and ethically in the educational environment.
- Understanding of Artificial Intelligence: Teachers should be able to explain the basic concepts of Artificial Intelligence, including types such as machine learning and neural networks.
- Integration of AI in Teaching: Educators should gain the ability to identify opportunities for integrating AI into their teaching activities.
- Ethical Awareness: Teachers should be aware of ethical issues related to the use of AI in the classroom and should be able to apply ethical guidelines.
- Development of AI Projects: Teachers should be able to create educational projects using AI-based tools and evaluate student performance.
- Vision of the Future: Educators should be informed about future trends in educational AI and understand how AI can support lifelong learning
Upcoming sessions
Location: Rome
- September 2024: Week 3 (September 16 – 20)
- October 2024: Week 4 (October 21 – 25)
- November 2024: Week 5 (November 25 – 29)
- January 2025: Week 5 (January 27 – 31)
- April 2025: Week 1 (March 31 – April 4)
- May 2025: Week 1 (May 5 – 9)
- June 2025: Week 2 (June 9 – 13)
- July 2025: Week 2 (July 7 – 11)
- September 2025: Week 3 (September 15 – 19)
- November 2025: Week 3 (November 17 – 21)