During the MOOC "Innovation and AI in Learning," L&D professionals engaged in lively discussions—sharing ideas, questions, and real-world challenges related to using AI in learning, as well as what it looks like to apply it in their own contexts.
Over the course of four weeks, dozens of practical use cases emerged. One of the highlights was an inspiration board, where participants posted the projects and ideas they’re exploring with AI. In total, more than 50 initiatives were shared. We highlighted the standout examples, along with the recurring themes that kept appearing across the contributions.
If you’re an L&D professional or SME wondering where to focus next in 2026, start here:
What is it? A custom AI assistant that helps learning professionals design more effective learning solutions, from needs analysis to learning formats and evaluation.
How is it used?
Why does this matter? This transforms AI into a thinking partner, not just a content factory. It helps you make better decisions early on, when the impact of learning is truly shaped. Try this in 2026 if: you want to professionalize learning design without adding more meetings or templates.
What is it? AI used to simulate conversations, challenge assumptions, and support reflective practice for learners, coaches, and managers.
Examples from the MOOC
Why does it matter? Reflection is often skipped due to time constraints. AI makes it accessible, safe, and available on demand. Try this in 2026 if: you want to reinforce learning through practice, not just content.
What is it? AI-powered tools that help learners assess their skills, reflect on real-life situations, and receive personalized follow-up questions or suggestions.
How is it used?
Why does this matter? Learning doesn’t end when a course is over. These tools support continuous improvement, driven by the learner. Try this in 2026 if: you want learning to extend beyond formal programs.
What is it? AI assistants trained on internal documents, research, or learning materials to support understanding and application.
How is it used?
Why does this matter? It helps organizations tap into existing knowledge without having to start from scratch. Give this a try in 2026 if: you’re struggling with information overload or underutilized content.
What is it? AI used to tailor communication, learning campaigns, and messaging to specific groups of learners.
Examples
Why does this matter? Great learning falls short if no one engages. AI helps bridge the gap between learning design and the learner experience. Try this in 2026 if: participation and engagement are ongoing challenges.
These projects show a clear shift:
AI is no longer “something to explore someday.” It’s becoming part of how L&D professionals think, design, reflect, and improve.
Would you like to know more about this topic? Get in touch with Julia:

Julia Wysocka | Customer & Community Manager
jwysocka@nextlearningvalley.com
+31 648436394
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