Think back to the moment you really understood something. It probably wasn’t when you read the textbook, or even after the teacher explained it for the third time. More likely it was when someone asked you a question, and you had to explain it back in your own words. Halfway through the explanation, something clicked.
It’s an experience most of us recognise but don’t stop to think about. Back in the 1970s a British cybernetician called Gordon Pask did, and he built an entire theory around it. His argument was simple – learning is a conversation.
TL;DR – the short audio version
What is conversation theory?
Gordon Pask (1928–1996) was a cybernetician, someone who studied how systems regulate themselves using feedback. His big idea was that learning happens when two participants reach a shared understanding by explaining, testing and agreeing on meaning. Importantly, a “participant” doesn’t have to be a person. It could be a group, or even a machine!
“Tell me and I forget, teach me and I may remember, involve me and I learn.” Xun Kuang (Not Benjamin Franklin)
Here are three key ideas that underpin Pask’s theory:
- Teachback – You only really understand something when you can “explain” it in your own words.
- Entailment meshes – Knowledge is not a list of isolated facts but a web of linked concepts. To understand one idea, you need to see how it connects to others.
- Dialogue not delivery – The teacher doesn’t pour knowledge into an empty vessel, both sides work towards an agreement as to what something means.
“To teach is to learn twice.” Joseph Joubert
Pask didn’t develop his ideas in isolation. They connect to three related frameworks: his own later Interactions of Actors Theory, Heinz von Foerster’s second-order cybernetics, and, most useful for educators, Diana Laurillard’s Conversational Framework. which took Pask’s ideas and turned them into a practical model for university teaching.
Critics – There are critics of course, some argue that terms such as “understanding” and “agreement” are never pinned down precisely, which makes them hard to test. The original research was small scale and perhaps most concerning – two people can reach a perfectly comfortable agreement about something that is completely wrong. Agreement does not prove accuracy or lead to truth.
But even after 50 years it still has relevance and maybe with AI even more so…
Transmission, not conversation
Now compare the above with how most of us were taught, and in many cases how we may still teach. The teacher explains, the students listen and take notes, then answer questions to show they were paying attention, and can recall what was said, not to improve their understanding. Knowledge flows in one direction, from the expert to the novice. It’s efficient, scalable and, to be fair, works reasonably well for passing exams.
Pask would argue that this is “transmission, not conversation” meaning, it looks like learning, but is really just information being handed over, with no check that it’s actually understood.
” Seek first to understand, then to be understood.” – Stephen R. Covey
AI the ultimate conversationalist?
This brings us, neatly to AI which in many ways is probably the closest thing to the conversational partner Pask imagined.
- Making the theory practical – An AI tutor can run teachback at scale, asking a student to explain an idea in their own words and then probing the gaps. It can build a map of how each learner connects concepts, a living entailment mesh, and adapt its explanations to the individual.
- Developing the theory – Large volumes of learning conversations can be analysed to test Pask’s claims properly, simulated dialogues can model how agreement actually forms, and knowledge graphs can turn the rather abstract entailment mesh into something we can measure.
- The new risks – But there’s a problem, AI is very good at producing fluent, confident agreement, even when it’s wrong. A student and a chatbot can happily agree on a misconception, and both walk away satisfied.
- An old question returns – All of which reopens a question Pask himself grappled with. Can a machine be a genuine conversational partner, or does it only ever appear to understand?
The question of whether Machines Can Think… is about as relevant as the question of whether Submarines Can Swim.” Edsger W. Dijkstra
Conclusion
Pask’s Conversation Theory has its flaws, but its central idea, that understanding is built through explaining, questioning and agreeing on meaning, has stood the test of time.
For most of the last fifty years, Conversation Theory was admired more than it was used. The idea of every student having a patient partner to explain things to, one who listens, probes and asks “what do you mean by that?”, was simply unrealistic. AI changes that, for the first time, the conversation Pask described can happen at scale and for everyone.
Perhaps his greatest insight is that learning was never meant to be a lecture, it was always meant to be a dialogue. We now have machines that will happily talk all day, the challenge is to make sure we keep thinking while they do.
So, let’s continue to talk, but we must make sure it’s a genuine conversation and one worth having.
Related post – The Protege effect – Learning by Teaching










The title of this month’s blog is not mine but taken from what many would consider a classic book about what can realistically be achieved by someone stood at the front of a classroom or lecture theatre, simply talking. Written some 25 years ago but updated recently Donald A. Bligh’s book takes 346 pages to answer the question, 

Donald John Trump was born on June 14, 1946, in Queens, New York, the fourth of five children of Frederick C. and Mary MacLeod Trump. Frederick Trump was of German descent, a builder and real estate developer, who left an estimated $250-$300m. His Mother was from the Scottish Isle of Lewis. Trumps early years were spent at Kew-Forest School in Forest Hills, a fee-paying school in Queens. From there aged 13 he went to the New York Military Academy, leaving in 1964. Fordham University was his next stop but for only two years before moving to the Wharton School of Finance at the University of Pennsylvania, from which he graduated in 1968 with a degree in economics. After leaving Wharton Trump went onto to focus full time on the family businesses, he is now said to be worth $3.7bn.
Hillary Rodham Clinton was born October 26, 1947, Chicago, Illinois. She was the eldest child of Hugh and Dorothy Rodham. Her father, a loyal Republican, owned a textile business which provided a “comfortable income”. Hillary’s mother who met Hugh Rodham whilst working as a company clerk/typist did not have a college education unlike her father. However Dorothy Rodham is said to have had a significant impact on Hillary and believed that gender should not be a barrier.
Clinton, they married in 1975. She graduated with a JD in Law and had a paper published in the Harvard review, under the title “Children Under the Law”.
This month’s blog is coming from Malaysia, I have been presenting at the ICAEW learning conference in KL. The only relevance of this, is that as with any lecture/presentation or lesson you have to put yourself in the shoes of your audience and ask, what do they want to get out of this, why are they giving up their valuable time and in many instances money to listen to what you have to say?














