Advanced ICT required.Read more
Advanced computer proficiency courses are designed for individuals who have a solid foundation in computer skills. Participants will further enhance their knowledge and abilities by exploring advanced concepts and tools, such as programming languages or 3d printing.
Targeted to Intermediate English (B1+) speakers.Read more
This is the standard requirement for most courses. Participants at this level can participate actively in discussions and manage everyday and professional situations. If they are unsure about their English level, they can test it here or explore our courses facilitated in Basic English.
Cross-Curricular.Read more
The listed audiences are those for whom the course is especially recommended, but courses are not exclusive to them and are open to everyone. In fact, most of our workshops are built around the collective sharing of participants’ experiences and having a variety of profiles enriches the learning process and is highly encouraged!
Advanced Course.Read more
This course is designed for participants with some prior knowledge of the topic. Still, it is open to everyone, as the variety of backgrounds makes the learning process more engaging. If you are looking for an introductory course instead, we recommend exploring our catalogue further.
Description
As the educational sector continues to integrate Artificial Intelligence (AI), there emerges a critical need for advanced training.
This course specifically targets educators who have a foundational knowledge of AI and seeks to address the complexities of its deeper integration in schools. It focuses on developing sophisticated skills to use AI tools effectively while maintaining a crucial balance between digital advancements and traditional teaching methodologies.
Building upon foundational AI knowledge, this advanced course deepens educators’ understanding and application of AI in education. Participants will be introduced to more complex AI tools and strategies, with an emphasis on their effective integration to augment and balance educational practices.
The course aims to expand educators’ capabilities in utilizing AI, ensuring a harmonious blend of technology and human-centric educational approaches.
Participants will engage in diverse and challenging activities, including in-depth workshops on cutting-edge AI applications, interactive sessions for strategizing online and offline teaching balances, and innovative exercises in implementing gamification and creativity through AI in the classroom.
These activities are meticulously designed to align with the advanced nature of the course, enabling participants to explore and master each aspect of AI‘s role in contemporary education.
Upon completion, participants will possess a comprehensive and nuanced understanding of AI’s application in education.
They will be equipped with advanced skills to integrate AI tools into their teaching practices, ensuring an optimal balance that enhances student engagement and learning outcomes.
The course will empower educators to confidently navigate the complexities of AI in education, transforming them into adept practitioners capable of addressing the challenges of integrating AI in an educational setting.
What is included
Learning outcomes
The course will help the participants to:
- Understand how to avoid over-dependence on AI in educational settings;
- Learn strategies for maintaining a healthy balance between online and offline educational activities;
- Explore gamification techniques in AI-based education to enhance student engagement and learning outcomes;
- Discover methods to foster creativity in an AI-enhanced learning environment;
- Master advanced AI-driven assessment tools and techniques for student evaluation.
Tentative schedule
Day 1 – Course introduction
- Introduction to the course and the Academy;
- Introduction to the host city and the week’s cultural activities;
- Icebreaker activities;
- Presentations of the participants’ schools and institutions.
Advanced AI Integration in Education
- Overview of advanced AI applications in education;
- Avoiding AI dependency in teaching.
Day 2 – Balancing online and offline learning
- Strategies for integrating AI tools while maintaining traditional teaching methods;
- Group activities to design balanced lesson plans.
Day 3 – Gamification in AI-based education
- Exploring gamification principles and their application in AI-driven teaching;
- Hands-on session: Creating gamified learning modules.
Day 4 – Fostering creativity with AI
- Techniques to use AI tools to enhance student creativity;
- Practical session: Designing creative assignments using AI.
Day 5 – Advanced AI-driven assessment techniques
- Exploring advanced AI tools for student assessment and feedback;
- Workshop: Implementing AI-driven assessments in various subjects;
- Course evaluation: round-up of acquired competencies, feedback, and discussions;
- Awarding of the course Certificate of Attendance.
Day 6 – Structured cultural activities
- Structured cultural activity(ies) according to the hosting location;
- Learning journal: individual written reflection on the course experience;
- Course reflection: self-reflection and review of course materials and resources.
This course uses AI tools as part of the learning experience and may include a dedicated session on GDPR compliance and responsible data use, depending on participants’ interests.
Participants are encouraged to verify that the use of AI tools is permitted under their national regulations and institutional policies before registering.
🤖 Festival Included
By taking part in this course, you’ll also get free access to the AI and the Future of Education Festival in Dublin (11-12 February 2027).
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