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AI for learning design: moving beyond automation to augmentation

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How strategic AI implementation can help solve instructional design's most pressing challenges with Philippa Hardman at Learning Technologies 2025.

AI for learning design - beyond automation to augmentation: Philippa Hardman at Learning Technologies 2025, 23-24 April
AI for learning design - beyond automation to augmentation: Philippa Hardman at Learning Technologies 2025, 23-24 April 

AI for learning design: moving beyond automation to augmentation: Philippa Hardman Affiliate Scholar, University of Cambridge, is presenting at Learning Technologies 2025 this April in London, on how strategic AI implementation can help solve instructional design's most pressing challenges.

Artificial intelligence offers unprecedented opportunities to transform how we design learning experiences. But that depends on how it's used. Most L&D teams have spent the last year asking "how can AI transform how we create content?". Far fewer have asked, "how can AI transform how we design training?". This session explores how strategic AI implementation can help solve instructional design's most pressing challenges (speed, quality, impact, ROI). Learn how AI can be used not just to accelerate established design processes but to fundamentally reimagine how humans learn.

Despite decades of promises of transformation, learning design practices have remained largely unchanged by technology. While AI offers powerful capabilities, its true value lies not in simply automating existing approaches, but in fundamentally reimagining how we design learning experiences. This session explores how strategic AI implementation can address key instructional design challenges, including rapid development, learning quality, measurable outcomes, and return on investment.

Learning Technologies Conference Chair, Donald H Taylor, said: “Attendees will discover how AI can be leveraged strategically to enhance learning design while increasing efficiency. Learn how an impact-driven approach to AI integration can transform both the design process and learning outcomes, creating more engaging and effective learning experiences.” 

Topics:

  • Learning design evolution: from traditional to AI-enhanced approaches
  • AI in practice: case studies & lessons learned from learning design innovations in 2023 & 2024
  • What next: actionable frameworks for using AI to transform learning design for better outcomes

Philippa Hardman's session, AI for learning design: moving beyond automation to augmentation, takes place on day one, 23 April at 15:50.

Conference passes are on sale: Learning Technologies 2025 Conference Conference Passes.

Speakers include: Martin Bean, Josh Bersin, Dani Johnson, David Kelly, Trish Uhl, Myles Runham, Will Thalheimer, Egle Vinauskaite, Tess Robinson, Philippa Hardman; just a few of the 80+ speakers on the programme.

Learning Technologies 2025
23-24 April 2025, London ExCeL
#LT25UK
learningtechnologies.co.uk