From reactive to intentional
A companion to Chapter 4 of the book, How AI Can Personalise Learning. The same ideas in several forms: film, conversation, 2 infographics, a mind map and 6 activities. Start with whichever suits you.
Chapter 4 in two minutes
Conventional training adapts in the room. The trainer reads the group as the session runs and adjusts when confusion becomes visible, often too late, and always while delivering at the same time.
Chapter 4 describes how AI-supported learning intelligence can close that preparation gap. It identifies patterns in how a group is likely to engage before the session begins, giving the trainer's instinct a baseline to work from rather than replacing it.
The personalisation happens at group level: adjusting pace and emphasis for the whole cohort, not building separate pathways for each person. Flexible session design also supports neurodiversity and differences in background without singling anyone out. The content and curriculum stay the same; the technology follows the pedagogy.
Knowledge gain, in percentage points
+40.9
Adaptive, AI-supported: 39.6% before, 80.5% after
+21.2
Conventional: 38.2% before, 59.4% after
Watch or listen
Prefer to take it in by eye or by ear? Both cover the core ideas of Chapter 4 in a few minutes.
Film, 1 min
How AI personalises group training
How seeing the group's preferences before delivery lets a trainer plan the session instead of improvising it. Captions are built in.
Conversation, 6 min
How learner insight improves group training
A conversation about group-level personalisation, what the evidence shows, and why the trainer's judgement stays at the centre.
Chapter 4 at a glance
A quick overview, then the full argument with the evidence. Select either one to see it full size.
Put it into practice
Short activities to run with a group or work through on your own. Each one has a printable card.
With a group (3)
On your own (3)
Go deeper
The research and writing behind Chapter 4.
- RAND CorporationContinued Progress: Promising Evidence on Personalized LearningA large study of schools using personalised learning, and what changed in their results.
- Seymour Papert, Internet ArchiveMindstorms: Children, Computers, and Powerful IdeasThe early case for technology that serves how people learn, rather than the other way round.
- Thomas Armstrong, ASCDNeurodiversity in the ClassroomStrength-based strategies for designing learning that works across different kinds of minds.
- Sweller, Ayres and Kalyuga, SpringerCognitive Load TheoryWhy taking unnecessary load off learners matters as much as what is taught.






