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AI Proeflokaal
For education

Stop hoping for good output — learn to steer AI

AI gives inconsistent results. This hands-on workshop teaches the system behind effective prompts: building context, working patterns for lesson design and assessment, and quality control. You leave the day with reusable templates.

What you'll learn

  • Structuring

    Build prompts with role, context, audience, constraints and output format.

  • Contextualising

    Translate learning goals and rubrics into a working 'teaching brief'.

  • Applying patterns

    Iterative improvement, few-shot examples, critique–revision cycles.

  • Quality control

    Evaluate output on content, bias and pedagogical quality.

Programme

A day in detail — no surprises.

# Time Module Content
1 09:00–09:30 Arrival & kick-off Use-case inventory, 'baseline good prompt' exercise.
2 09:30–10:15 Prompt building blocks Role, task, context, audience, constraints, output format. Live demo from raw question to structured prompt.
10:15–10:30 Break
3 10:30–11:45 Context engineering Context blocks for lesson design, assessment construction, case development. Hands-on.
11:45–12:30 Lunch
4 12:30–13:45 Prompt patterns Iteration cycles, few-shot working, output-first specification. Rewrite existing assignments into templates.
13:45–14:00 Break
5 14:00–15:00 Reliability & risks Spotting hallucinations, verification instructions, privacy/integrity checklist.
6 15:00–15:45 Your own toolkit Build 3–5 templates, peer review.
7 15:45–16:15 Implementation Team agreements, prompt library, roadmap.
8 16:15–16:30 Wrap-up Q&A, evaluation.

Immediate results

  • Faster, ready-to-use teaching materials
  • Assignments aligned with learning goals
  • Consistent, rubric-driven feedback
  • 3–5 reusable templates

Long-term

  • Time savings through repeatable prompts
  • Team consistency
  • Reduced risk through verification steps

Who it's for

  • Teachers
  • Educational specialists
  • Curriculum developers
  • Study coaches
  • Assessment coordinators
  • Education managers
  • Thesis supervisors

About the trainer

Wiemer Kuik

Trainer & advisor, AI transformation

Over 40 years of business experience focused on integrating business and IT transformation. Specialties: business transformation, change management, IT governance, stakeholder training, transformation management and presentation coaching.

LinkedIn

Participant experiences

The workshop immediately gave us tools to integrate AI practically into the curriculum. No hype, just actionable steps.
Sanne de Vries — ICT Programme Manager, Hogeschool
Wiemer knows how to make complex AI concepts understandable for both teachers and students.
Mark Jansen — Lecturer Software Development, Hogeschool
We moved from scattered experiments to a clear AI vision within our programme.
Linda Bakker — Curriculum Developer, Hogeschool
The combination of theory and practical examples worked extremely well for our teams.
Peter van Dijk — ICT Team Lead, Hogeschool
Students are now much more aware of how they can use AI in projects.
Eva Meijer — Lecturer Data & AI, Hogeschool

Not sure about the fit?

Book an intake — we'll spend 30 minutes on your goals and give you honest advice.

Book an intake