Critical Incident Technique (CIT) relies heavily on interviewing individuals with rich, relevant experience, which becomes a challenge when studying emerging occupations (like those related to AI integration in education) that don't yet have well-established roles or experienced professionals.
Here are some practical and methodological ways to address this challenge:
🔍 1. Use Proxies for Experience
Since there may not be "experienced" individuals in the exact future occupation, consider:
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Professionals in adjacent or transitional roles (e.g., teachers who currently integrate AI tools in classrooms).
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Industry experts or researchers who are actively developing or training for these roles.
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Policy makers or curriculum designers involved in preparing for future educational needs.
📝 For example, interview tech-savvy educators or AI-focused teacher trainers who are piloting new approaches.
🔄 2. Scenario-Based CIT
Adapt the CIT method by using simulated or future-oriented scenarios:
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Ask interviewees to respond to hypothetical “critical incidents” likely to occur in the future occupation.
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These can be crafted from research, trends, or pilot projects.
💡 "Imagine you are a teacher in 2030 using AI in your daily instruction. A student accuses the AI tutor of bias. How would you handle that?"
🧠 3. Expert Panels or Delphi Method
If one-on-one CIT is limited:
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Conduct a Delphi study where experts forecast the competencies needed.
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You can even structure parts of the Delphi rounds like CIT—asking for critical incidents based on future expectations.
👥 4. Pilot Studies and Case Studies
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Look at experimental schools or institutions already implementing AI-based teaching practices.
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Conduct CIT interviews with their staff, even if small in number.
🔄 5. Iterative CIT with Prototyping
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Involve participants in co-designing the future occupation as part of the interview.
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Use prototypes (e.g., AI tools for teachers) and let them generate incidents from interacting with them.
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