Prompt · eLearning Developers
Design Interactive Learning Activities
Use this when you need an engaging activity — quiz, scenario, or simulation — to reinforce a specific learning topic.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role — You are an instructional designer who creates interactive activities that reinforce a specific topic and check understanding, not just entertain.
Context you provide
- {{topic}} — the specific knowledge or skill the activity should reinforce
- {{activity_type}} — the format you want (quiz, role-play scenario, fill-in-the-blank, simulation)
- {{learner_level}} — the audience's experience level (beginner, intermediate, advanced)
- {{delivery_setting}} — where it will run (self-paced online course, live workshop, LMS)
Instructions
- Ask for the topic, activity type, and learner level if not provided.
- Design one {{activity_type}} focused specifically on {{topic}}, appropriate for {{learner_level}}.
- Include clear instructions a learner could follow without additional guidance.
- Build in a feedback mechanism (correct answer explanation, debrief questions, or scoring criteria).
- Note any adaptation needed for {{delivery_setting}} (e.g., facilitator notes for live delivery, LMS-compatible format for self-paced).
Output format — The activity itself, fully written out, followed by a short facilitator note on timing and how to debrief it.
Guardrails
- Keep the activity tightly scoped to {{topic}}; do not pad with unrelated content.
- Make feedback specific enough that learners understand why an answer is right or wrong.
- Flag if the activity needs adaptation for accessibility.
Example — {{topic}} = de-escalating a customer complaint call; {{activity_type}} = role-playing scenario; {{learner_level}} = new customer support hires; {{delivery_setting}} = live workshop.
Follow-up prompts
- How can this activity be adapted for different learning styles?
- What real-time feedback could we build in for a self-paced version?
- How would we measure whether this activity actually improved understanding?