Top 5 AI Projects from Our MOOC Community You Can Try in 2026

During the MOOC Innovation and AI in Learning, L&D professionals jumped into lively discussions – sharing ideas, questions, and real challenges around using AI in learning, and what it looks like to apply it in their own contexts.

Over four weeks, dozens of practical use cases surfaced. One of the highlights was an inspiration board, where participants posted the projects and ideas they’re exploring with AI. In total, 50+ initiatives were shared. We spotlighted the standout examples, along with the recurring themes that kept showing up across contributions.

If you’re an L&D professional or SME wondering where to focus next in 2026, start here:

1. The Learning Design Assistant

What is it?

A custom AI assistant that helps learning professionals design stronger learning solutions, from needs analysis to learning formats and evaluation.

How is it used?

• Translate business questions into learning interventions
• Compare in-house solutions vs. external options
• Add best practices, dos and don'ts, and design alternatives

Why does it matter?

This turns AI into a thinking partner, not a content factory. It supports better decisions upfront where learning impact is really shaped.
Try this in 2026 if: you want to professionalize learning design without adding more meetings or templates.

2. AI as a Sparring Partner for Reflection & Coaching

What is it?

AI used to simulate conversations, challenge assumptions, and support reflective practice for learners, coaches, and managers.

Examples from the MOOC

• Practicing difficult conversations (sales, negotiation, feedback)
• Reflecting on leadership dilemmas
• Using AI as a "second perspective" in decision-making

Why does it matter?

Reflection is often skipped due to time pressure. AI makes it accessible, safe, and on-demand.
Try this in 2026 if: you want to strengthen learning through practice, not just content.

3. Self-Assessment & Continuous Learning Tools

What is it?

AI-powered tools that help learners assess their skills, reflect on real situations, and receive tailored follow-up questions or suggestions.

How is it used?

• Conversational self-assessments
• Moments of reflection embedded in daily work
• Personalized prompts for skill development

Why does it matter?

Learning doesn’t end after a course. These tools support continuous improvement, driven by the learner.
Try this in 2026 if: you want learning to live beyond formal programs.

4. Knowledge Assistants with NotebookLM & GPTs

What is it?

AI assistants trained on internal documents, research, or learning materials to support understanding and application.

How is it used?

• Summarizing complex documents
• Creating podcasts or explanations from source material
• Supporting learners without exposing sensitive content

Why does it matter?

This helps organizations unlock existing knowledge, without creating everything from scratch.
Try this in 2026 if: you struggle with knowledge overload or underused content.

5. Learner-Focused Marketing & Communication Support

What is it?

AI used to tailor communication, learning campaigns, and messaging to specific learner groups.

Examples

• Adapting tone of voice per audience
• Creating targeted learning invitations
• Supporting adoption and engagement

Why does it matter?

Great learning fails if no one engages. AI helps bridge the gap between learning design and learner experience.
Try this in 2026 if: participation and engagement are ongoing challenges.

What This Tells Us About AI in Learning and Development

These projects show a clear shift:

• From tools → to practice
• From efficiency → to learning impact
• From individual experimentation → to shared innovation

AI is no longer “something to explore someday.” It’s becoming part of how L&D professionals think, design, reflect, and improve.