AI4LD

Evidence-Based Learning Design Intake

Tell us about your learning challenge. We'll handle the research and design translation.

1️⃣

What should learners be able to do differently after this learning experience?

Focus on observable performance or decision-making, not content coverage.

Add specific keywords to help us find the most relevant research and emphasize AI-enabled learning design approaches.

2️⃣

Learner Profile *

Who are the learners?

3️⃣

Learning Context *

Where and how will learning occur?

4️⃣

Success Metrics *

How will you know the learner has achieved the learning or performance goal or objective?

Think beyond completion.

5️⃣

Design Depth (Optional, but Recommended)

How deep should the evidence and design go?

High-level guidance, fast turnaround

Balanced evidence synthesis + design artifacts

Systematic evidence review + detailed design options

What You'll Get

Based on your inputs, our agents will:

  • Identify relevant learning science and applied research (clearly labeled by strength)
  • Translate evidence into practical design artifacts: learning architecture options, practice and feedback strategies, assessment blueprints, performance support concepts
  • Flag where evidence is strong, mixed, or missing
  • Provide design options and validation plans when uncertainty exists

You don't need to know the research. That's our job.

Your role is to define the learning challenge clearly — we'll bridge the evidence and design.

Uncheck this if your learning context contains proprietary or sensitive information. Private sessions will only be accessible through their direct link.