What this course is about
How to build a knowledge check with AI that actually teaches: goals for the check, tasks in different formats, scoring criteria for open answers, feedback for every option, self-check quizzes and a trial run.
A good quiz does more than give a grade. It shows the learner where they went wrong and why. For teachers, mentors, course authors and trainers, AI can quickly suggest tasks in different formats, write feedback for every answer and draft scoring criteria for open questions. This course shows how to build a knowledge check {AI_WITH} that leaves the learner knowing more than before.
What you will learn
- What exactly are we checking?
- The quiz map
- Matching, ordering, blanks
- New formats: sample and check
- Open questions and criteria
- Criteria: sample and tuning
- Feedback for every option
- Feedback: sample and check
- A self-check quiz
- The scale: what to do with the result
- Three levels of difficulty
- Levels: sample and check
What's inside
- Four PDF versions of the course: for ChatGPT, Gemini, Claude and Microsoft Copilot — each explains where to find the features you need in that assistant.
- 12 ready-to-use prompts and a prompt library you can copy from.
- Step-by-step tasks, before-and-after examples and a one-page cheat sheet.
- Free updates when the AI assistants change.
Who it's for
Office workers, managers, teachers, freelancers and small-business owners who want practical results from AI without technical knowledge.
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