Upcoming Dates
15 – 19 June, 2026 (open to enrollment)
Course Description
This course offers a practical and reflective introduction to the use of Artificial Intelligence in education. Over five days, participants will explore how AI tools can support lesson planning, enhance student creativity, strengthen assessment practices, and promote ethical and responsible use in the classroom. The program combines foundational concepts with hands-on activities using current AI tools, enabling educators to integrate AI as a complementary resource that enriches teaching and learning.
Goals
By the end of the course, participants will be able to:
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- Understand the essential concepts of Artificial Intelligence and analyze its current and potential impact on education.
- Use AI tools for lesson planning, creation of teaching materials, and personalized learning design.
- Apply AI to foster creativity, critical thinking, and original student work across subjects and instructional methodologies.
- Integrate AI into assessment practices, generating effective feedback, designing objective-aligned rubrics, and creating evaluations that promote academic integrity.
- Adopt an ethical and responsible approach to AI use, understanding key principles, policies, and regulatory frameworks relevant to educational settings.
- Design classroom practices and AI-use guidelines that ensure safe, equitable, and pedagogically sound implementation for both teachers and students.
Price
Admission information
A minimum course enrollment of 10 students must be met for each course to be offered
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- Language : English
- Language level required: B2 or above
- Duration : 5 days (20-25 hours)
Tentative Schedule
Objectives:
Understand what Artificial Intelligence is and how it is transforming education.
Discover concrete examples of AI-based educational tools.
Reflect on opportunities and challenges of AI in teaching and learning.
Content:
Key concepts: AI, machine learning, generative models, natural language processing.
Overview of current AI tools for education (ChatGPT, Canva Magic Write, Diffit, Curipod, Eduaide, etc.).
Prompting.
Activities:
Icebreaker: “AI in my classroom” – sharing experiences and expectations.
Hands-on demo of AI tools for teaching.
Group discussion: benefits, challenges, and ethical dilemmas.
Objectives:
Learn how to use prompts.
Learn how to use AI to support lesson planning and curriculum design.
Explore AI-powered tools to generate content, materials, and activities.
Content:
AI for creating lesson objectives, differentiated tasks, and inclusive materials.
Integrating AI with active learning methodologies (Project-Based Learning, Flipped Classroom).
Frameworks: DigCompEdu and digital competence for educators.
Activities:
Workshop: design a full lesson plan using AI co-creation.
Group task: adapt an existing lesson plan with AI for personalization or accessibility.
Reflection: “AI as a co-teacher – where are the limits?”
Objectives:
Learn how AI can stimulate creativity and critical thinking in the classroom.
Explore creative applications of AI in arts, languages, storytelling, and STEAM subjects.
Content:
Generative AI for images, videos, music, storytelling, and idea generation.
Pedagogical approaches: creative problem-solving, design thinking, co-creation with AI.
Developing digital citizenship and creative confidence in students.
Activities:
Creative AI Studio: teachers experiment with image or story generation tools.
Design a student-centered creative project using AI (e.g., a digital art gallery, interactive story, or science fair prototype).
Peer sharing session: present creative outputs.
Objectives:
Understand how the use of AI generative tools can facilitate the use of ongoing and final evaluations or assessments.
Explore how AI tools can improve feedback, grading rubrics, and student self-assessments.
Learn how to create assessments that are reliable, fair, and reflective of academic integrity standards.
Content:
Overview of the different types of assessment, to include prior knowledge skills, formative, and competency-based assessment.
Explore the use of AI for automated feedback (text, audio, etc).
How to create rubrics and grading criteria that meet learning objectives.
Use of AI tools when grading, to personalize/adapt the evaluation and feedback to each specific student based on their learning profile.
Develop assessments that measure student mastery learning even when assignments have been complemented with AI generative tools (ChatGPT, Copilot, Canva, etc).
Activities:
Workshop: Using AI, create an assignment rubric and check the effectiveness with a sample student submission.
Practice AI automated feedback and check that the feedback meets learning objectives and reduces response time.
Evaluate the use of Google Docs and AI detection extensions.
Using a real classroom example, modify a test or assignment to require a thinking process, critique of AI generated content, and a comparison with sources of information.
Debate: Does AI make student assessment easier or harder?
Objectives:
Create awareness of ethical challenges when using AI in the classroom.
Become familiar with policies/guidelines and frameworks discussing the responsible use of AI tools.
Learn to build responsible AI-use guidelines for students.
Content
Overview of different ethical principles: From transparency, fairness and privacy to accountability.
Discuss the importance of data protection in educational settings.
Review some AI-based ethical frameworks: EU AI Act basics, GDPR for minors, UNESCO AI competencies.
Creating school/classroom AI policies.
Explore the future of AI in education: AI to create text, to audio, videos, and visuals; Generate adaptive learning based on student performance; use of AR/VR along with AI as guide.
Activities
Group-setting: Brainstorm AI potential issues regarding privacy, bias, misinformation, and assignment authenticity/authorship.
Draft a classroom AI-use policy and compare it with other attendees. Debate.
Vision board: Design a future classroom with AI, upholding ethical standards and maintaining student mastery learning.
