1. Understanding the Role of AI in Education

Focus: General awareness, shifting perspectives, and relevance.

• What does “AI in education” mean to you today?

• How has your perception of AI changed in the last year?

• What examples of AI use in education have you seen or heard about?

• How might AI shift the role of the teacher over the next 5–10 years?

• Which aspects of your subject or teaching domain feel most “AI-compatible”?

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2. Supporting Teachers' Practice with AI

Focus: Timesaving, planning, evaluation, content generation.

• What routine teaching tasks might AI help you automate or streamline?

• How might AI assist in planning differentiated lessons or activities?

• Could AI be used to provide you with faster or deeper insights into student progress?

• In what ways could AI reduce workload while maintaining instructional quality?

• What AI tools could help you personalize learning experiences for diverse students?

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3. Enhancing Learner Engagement and Outcomes

Focus: Student-centred applications, creativity, personalization.

• How might AI increase learner engagement in your classroom or workshop?

• Can you think of an activity where AI could allow students to be more creative or independent?

• How could AI tools support struggling learners or those who need enrichment?

• What are some ways learners could use AI to reflect, revise, or deepen their own work?

• Are there vocational tasks that learners could practice or simulate with AI?

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4. Equity, Access, and Inclusion

Focus: Barriers, bias, fairness, accessibility.

• Who benefits most — and who might be excluded — when AI is used in education?

• What equity concerns come to mind when thinking about AI-supported learning?

• How can we ensure AI tools are accessible to learners with diverse needs?

• In your context, what challenges might learners face accessing or trusting AI?

• How could AI support language learning, Indigenous learners, or learners with disabilities?

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5. Ethics, Data, and Responsible Use

Focus: Privacy, bias, accountability, professional judgment.

• What ethical risks do you associate with AI in teaching and learning?

• How can we ensure student data and work are protected when using AI tools?

• How might unconscious bias in AI algorithms affect your learners?

• When (if ever) is it appropriate for students to use AI to complete work?

• What professional norms should guide our use of AI in vocational or adult ed contexts?

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6. Professional Development and Next Steps

Focus: Capacity building, collaboration, experimentation.

• What do you need to feel confident exploring or using AI in your teaching?

• Who could you collaborate with to try something new involving AI?

• What small step could you take this term to experiment with an AI tool?

• How could a community of practice or subject-specific network support AI integration?

• What would an ideal AI-related professional development session look like for you?

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Source: OpenAI. (2025, September 18). Guiding questions for AI integration in adult education and vocational training [Large language model response].