Description
Basic Computer Proficiency required. Read more »
Basic computer proficiency courses are designed for individuals who have limited experience with technology. Participants will learn fundamental skills such as navigating the web, and using basic programs.
Teachers are facing the challenge of helping students manage overwhelming amounts of information while building effective learning habits.
Many students struggle to retain knowledge, understand complex concepts, and stay engaged.
This course equips teachers with the tools and techniques they need to help their students become better, more independent learners.
The course introduces participants to key learning strategies, such as elaboration and visualization, combined with generative AI tools.
This will allow teachers to create engaging, personalized learning resources that improve student comprehension, retention, and engagement.
Throughout the course, participants will learn how to apply AI-driven tools to assist their students in elaborating on new concepts, visualizing complex ideas, and improving memory through customized quizzes and flashcards.
Teachers will be guided on how to integrate these strategies into their classrooms, making learning more effective and enjoyable for their students.
By the end of the course, teachers will have developed practical skills in using generative AI to support student learning.
They will be able to implement tailored learning strategies that foster deeper understanding, better retention, and personalized learning paths for their students.
What is included
Learning outcomes
The course will help participants to:
- Apply practical techniques for deeper learning;
- Use AI tools to generate personalized learning aids;
- Create customized study plans using AI to monitor progress and adapt strategies;
- Improve memory retention through AI-assisted techniques.
Tentative schedule
Day 1 – Introduction to the course
- Introduction to the course, the school, and the external week activities;
- Icebreaker activities;
- Presentations of the participants’ schools;
- Definition and importance of learning strategies;
- What is generative AI, and how it can be used in learning;
- Introduction to tools (e.g., ChatGPT, text generation models);
- Benefits of AI-assisted learning.
Day 2 – Enhancing learning with artificial intelligence
- How to use elaboration to explain concepts in detail and strengthen understanding;
- Promoting deeper learning;
- Leveraging AI to generate explanations, examples, and analogies;
- How AI can assist in breaking down complex ideas into simpler forms.
Day 3 – Boosting memory and spaced repetition and AI
- Spaced repetition and mnemonics;
- Creating memory aids for long-term retention;
- Using generative AI to generate personalized flashcards and quizzes.
Day 4 – Enhancing learning with visualization and AI tools
- How mental imagery and visualization can enhance learning and memory;
- Visualizing abstract concepts, processes, and relationships;
- Using AI to create visuals for complex topics;
- AI-powered tools for generating educational infographics and illustrations.
Day 5 – Personalized learning with AI and self-directed strategies
- Creating a self-directed study plan based on strengths and weaknesses;
- Tracking progress and adapting learning strategies over time;
- How generative AI can suggest learning resources, provide feedback, and adjust learning paths.
Day 6 – Course closure and cultural activities
- Course evaluation: round-up of acquired competencies, feedback, and discussion;
- Awarding of the course Certificate of Attendance;
- Excursion and other external cultural activities.
