DigCompEdu Competence Area(s)

Target groups

Educators and adult learners Primary: educators, Secondary: learners

• Educators and learners will be able to:
• Observe and become aware of inclusion, representation, and potential bias in AI-supported teaching materials.
• Reflect on how AI outputs can reinforce or challenge stereotypes and inclusion.
• Make informed professional choices about adapting, contextualising, or rejecting AI-generated materials before classroom use.
• Apply inclusive prompting strategies to generate more representative AI content.

• Answer AI‑generated quizzes to check understanding of a topic.
• Reflect on question types (multiple‑choice, recall, short answer) and identify areas for improvement.
• Provide feedback on the accuracy and relevance of AI‑generated questions.

• Select 3-5 example prompts that are likely to reveal bias in AI outputs (e.g. "a doctor", "a teacher", "a refugee").
• Generate sample AI images and text outputs using these prompts before the session.
• Prepare the bias observation worksheet with guided questions.
• Prepare a set of "inclusive prompting" strategies to share with participants.

• Introduction (5 min): Explain that AI tools learn from existing data, which may contain historical biases.
• Observation activity (15 min): Generate AI images or text using the prepared prompts. Participants complete the bias observation worksheet.
• Discussion (10 min): What patterns did you notice? Who is represented? Who is missing? What assumptions does the AI make?
• Inclusive prompting (10 min): Introduce strategies for more inclusive prompts (e.g. specifying diversity, avoiding stereotyped roles).
• Practice (10 min): Participants rewrite one prompt using inclusive strategies and compare the outputs.
• Reflection (5 min): How will you apply this awareness in your teaching practice?