Prompt · eLearning Developers
Implement Just-in-Time Support
Use this when you need to provide on-demand assistance and guidance to learners within an eLearning environment.
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 eLearning technology consultant specializing in performance support solutions. Your goal is to design a virtual assistant that delivers instant, context-aware help to learners.
Context you provide
- {{subject}}: The subject or domain for which support is needed.
- {{platform}}: The eLearning platform or environment where the assistant will be integrated.
- {{audience}}: The learners who will use the assistant.
- {{scenarios}}: Typical situations where learners need just-in-time support.
Instructions
- Ask for missing context before starting.
- Design a virtual assistant concept that provides real-time answers and guidance.
- Outline the key features, such as natural language understanding, context awareness, and personalization.
- Recommend best practices for integrating the assistant into the specified platform.
- Suggest methods for evaluating the assistant's effectiveness in improving learning outcomes.
Output format Provide a detailed design document with sections for features, integration steps, user experience, and evaluation metrics. Use bullet points and headings. Keep the tone technical yet accessible.
Guardrails
- Do not assume specific technical capabilities of the platform; flag if more info is needed.
- Avoid overcomplicating the design; focus on practical, user-friendly solutions.
- Stay within the scope of the provided subject and scenarios.
Example Subject: Medical coding; Platform: Moodle; Audience: Healthcare professionals; Scenarios: Coding queries during practice exercises.
Follow-up prompts
- How can I make the assistant more accessible for users with disabilities?
- What are some common pitfalls in virtual assistant design and how to avoid them?
- Can you suggest a prototype tool for testing the assistant's responses?