KA1 course: Artificial Intelligence and the future of school landscape
Empowering educators: unleashing the potential of Al in schools for future-ready learning.
Designed to empower educators, this comprehensive programme covers mindset cultivation, ethical considerations, practical integration into curricula and critical evaluation of Al tools. Participants will gain insights into current and future Al trends, ensuring they proactively adapt teaching methods.
Target group: teachers, trainers and educators
Why should you choose us?
- Visiting Rome is always a good choice!
- We offer an edutainment approach,
- Course content is innovative, relevant, and applicable in various professional and personal contexts,
- Participants will come into contact with different practices and experiences, benefiting from intercultural learning and establishing contacts for future cooperation and exchanges
- Our teachers’ work is inspired by the Principles of the Pedagogy of Beauty©, shifting the focus from mere transmission of knowledge to building meaningful and empathic relationships.
Learning outcomes:
During the course lifespan, participants will:
- Acquire foundational knowledge of Artificial Intelligence (AI) and its practical applications in various educational contexts.
- Learn how to use generative AI tools to create educational resources, such as quizzes, texts, and project ideas.
- Understand the ethical challenges and implications of AI, including bias, data privacy, security, and its impact on critical thinking and creativity.
- Develop strategies to teach students responsible AI usage, addressing ethical dilemmas such as plagiarism and the creation of fake content.
- Design personalized lessons and activities that integrate AI tools, with examples across different disciplines.
- Collaborate in group projects to create AI-supported teaching strategies, incorporating feedback and reflection from peers.
- Formulate a personal action plan for integrating AI into their teaching practices.
- Reflect on how to transfer the knowledge and skills gained during the course into their own institutions, fostering future cooperation with fellow participants.
Methodology
This course will employ an interactive and practical approach, combining theoretical lessons with practical activities that promote experiential learning.
Participants will have opportunities to practice the AI-related skills acquired in real-life scenarios.
Personal reflection moments are included each day to encourage a deeper connection with the topics covered.
Training usually takes place between 9 am and 14 pm, followed by (optional) after-class activities.
Day-by-day programme
Day 1 | h 10.00 – 18.00
Introduction to the course
Getting to know each-other | Focus on expectations | European lunch | Sightseeing activity (optional walking tour in Rome city centre)
Day 2 | h 9.00 – 14.00
What is Artificial Intelligence? Basic concepts | Practical examples of AI use in various contexts (chatbots, content generation tools, etc.) | The role of AI in overcoming the “blank page syndrome.”
AI as a Practical Tool: Practical demonstrations on how to use generative AI tools to create educational resources (quizzes, texts, project ideas).
Sharing diverse practices and experiences and productive dialogue between participants.
Day 3 | h 9.00 – 14.00
Ethics, Challenges, and Awareness in AI Usage: AI Bias – how it arises and influences results | Data privacy and security | Impact of AI on critical thinking and creativity | Environmental impact.
Ethics in Teaching: developing strategies to teach students responsible AI usage.
Ethical Dilemmas: case studies where AI is misused by students (plagiarism, fake content creation).
Day 4 | h 9.00 – 14.00
Personalizing AI Usage: creating AI-Supported Lessons | How to design an activity or lesson that integrates AI tools | Examples of lessons in various disciplines supported by AI. Collaborative Project Design: in small groups to develop a specific teaching project | Cross-group feedback: sharing ideas and reflections.
Personal Action Plan: developing a personal action plan on how to integrate AI into our teaching| Final discussion: how to stay updated on AI skills and issues.
Optional farewell dinner.
Day 5 | h 9.30 – 13.00
Individual reflection: a roadmap to transfer the acquired knowledge and competencies into practice at the participants’ institutions and to cultivate contacts with other participants for future cooperation and exchange | Focus on the learning outcomes and Certificates delivery | Feedback: participants provide an assessment of the course and feedback about their experience | Participants departure
Course pre-registration is free of charge!
Just fill the form expressing your interest. Only after enough pre-registrations are made, we can confirm the course and start planning our time together!
Trainers
anna uttaro
For the past decade, Anna has been teaching in adult education centers, focusing on environmental and digital transitions, while enhancing her expertise in creating learning tools for urban environments. Her experience includes participating in Erasmus+ exchanges and providing training activities to diverse groups of learners: from school-age children to university students and teachers. She has conducted research at various universities, specializing in community engagement and urban learning processes. With a background in urban planning, Anna also works in participatory process design, innovative learning methodologies, urban regeneration, and project management. She is committed to translating research into actionable policies for sustainable urban development.
Dates and Location
3-7 February 2025
30 June - 4 July 2025
At CIAPE headquarters: Pz.le Roberto Ardigó 30, Roma
Cost
400 € per person
Including: training and tuition fees, access to training material, ice-breaking and sight-seeing activities, coffee-breaks, administration and organisational costs, Certificate of attendance, Mobility and Europass documents
Language
English