In the second part of this two-part episode about lessons learned from my time working in the education technology sector, I wanted to share a very significant quantitative finding to improve learning: what I call the "90% rule". Desirable difficulties is a concept that many know about and try to apply to teaching situations, but there is a question of how difficult one should make things. Surely there is a level at which things are too difficult? In which case, what is the perfect level of difficulty that we should aim for? The secret is this 90% number. Enjoy the episode. *** REFERENCES Eglington, L.G., Pavlik Jr, P.I. Optimizing practice scheduling requires quantitative tracking of individual item performance. npj Sci. Learn. 5, 15 (2020). https://doi.org/10.1038/s41539-020-00074-4 See also the SuperMemo Guru wiki: https://supermemo.guru/wiki/Optimum_interval. SUPPORT If you would like to support Education Bookcast and join the community forum, you can do so at https://www.buymeacoffee.com/edubookcast.

I've now been working as a data scientist in educational technology for over four years. In that time I've thought a lot about various educational concepts within edtech, and I want to share some of what I've learnt. In the first part of this two-part episode, I want to talk about what I call the Fundamental Duality of Educational Materials. The Fundamental Duality is that we use our content to measure our students / users (e.g. what they know), but we also use our users to measure our content (e.g. how difficult it is). This leads to a sort of chicken-and-egg problem, where all we see is the interaction of the users with the content, but from that single fact we have to somehow extract information about the two different interacting entities. For example, suppose that a user gets a question wrong. This could mean one of a number of things: Is the question difficult? Does the user not know this area very well? There is also a third possibility: Is this question faulty? i.e. did the user actually answer the question correctly, but it was marked as incorrect due to a bug in the system, or in the way the content was created? Answering these questions is difficult because they are apparently all possible in this situation. This is an illustration of the Fundamental Duality. In the episode, I make some mention of Item Response Theory (IRT), which is a method used in computerised adaptive testing (CAT) to handle this very issue. But IRT is quite difficult to explain to a lay audience, especially without the use of images, so I will focus on Elo and Glicko rating systems as examples of handling this duality. Enjoy the episode. *** You can support Education Bookcast and join the community forum by visiting https://www.buymeacoffee.com/edubookcast.

This is the second part of the message for my friend Guy about becoming a better lecturer. In this part, I go over 27 practical techniques and tips for improving lecturing (as well as improving the way homework exercises are designed), referring to the principles and theory outlined in the previous part to explain how and why these work. To be completely honest some of the suggestions are more general pedagogical suggestions rather than being specific to lecturing, but I decided to throw them in as well for completeness. Enjoy the episode. *** You can support Education Bookcast and join the community forum by visiting https://www.buymeacoffee.com/edubookcast.

Another in the series of "really long voice notes from Staś". My friend Guy is a lecturer in natural language processing. He asked me if I could give him some tips about how to lecture better, so I told him I would record a podcast episode about it. I've divided the episode into two parts. In this first part, before we speak about practical things to do, I will discuss what the basic aims are, and some important preliminary framing questions - what are we trying to achieve? How does learning work? And when can I stop punching the ground with my fist? There is some extra pressure when talking about how to be a good lecturer, as in effect I might ironically give a bad lecture about how to lecture well. I think I did ok. Enjoy the episode. *** You can support Education Bookcast and join the community forum by going to https://www.buymeacoffee.com/edubookcast.

Benjamin Bloom is best known for Bloom's Taxonomy, a scheme for categorising ways of thinking about or interacting with learning content on a scale from less to more sophisticated. However, the project he led investigating the lifelong development of expertise should be much more famous. The book's full title makes it feel as though it was published in 1685 rather than 1985: The dramatic findings of a ground-breaking study of 120 immensely talented individuals reveal astonishing new information on Developing Talent in Young People. Bloom's team looked at extraordinary achievers in six domains: pianists, sculptors, swimmers, tennis players, mathematicians, and neurologists, so that he had two each from artistic, athletic, and academic pursuits. He was trying to understand the life circumstances during childhood and adolescense - particularly the practice routines and social milieu - which led to the development of the subjects' expertise. Their research methods were unusual. Rather than using a large sample and taking quantitative data (which would have been difficult anyway due to the lack of a large number of exceptional people, by definition) or presenting qualitative interviews of individual case studies, Bloom's team interviewed around 20-30 people from each domain and then summarised the findings of these interviews. It leaves us with a sense of the qualitative experience of going through their learning processes, while also reducing the chances of over-generalising from a single case. Pianists were the main focus of discussion where Bloom and his colleauges tried to generalised the findings, although all six categories had a full exposition as to the findings for their domain in particular. The pianists followed an especially clear pattern which is worth starting from, and subsequently comparing with the others. In the context of an abundance of information about how people think and learn on shorter timescales (from seconds to weeks), having information about how people develop over the lifespan is invaluable. I will definitely be referring to this book a lot in future. Enjoy the episode. *** RELATED EPISODES This book is related to the development of expertise, which I talk about on a lot of episodes, but the one specific one I mentioned in the recording was: 22. The Talent Code by Daniel Coyle SUPPORT You can support Education Bookcast and join the community forum via Buy Me a Coffee using the following link: https://www.buymeacoffee.com/edubookcast.

Cover image: horse and rider by Nadia, age 5. The nature of talent is something that I dealt with near the beginning of the existence of Education Bookcast, reviewing books like Genius Explained, Outliers, The Talent Code, and Bounce. The general consensus was that talent is an illusion - people simply get better at things through exposure and practice. My confidence in this assertion was shaken when reading the IQ literature, but now, in the book The Road to Excellence edited by K. Anders Ericsson, the article The Rage to Master: the Decisive Role of Talent in the Visual Arts by Ellen Winner. She points out how some exceptional children are obsessed with drawing, and draw in a way that is qualitatively different to ordinary children. She argues that the aforementioned orthodoxy of talent apparently not really existing is in fact incorrect, in light of these prodigies and their extraordinary output. In the recording, I discuss these findings and try to find a way to put it all together. Benjamin Bloom's book Developing Talent in Young People also comes in handy, as not only does Ellen Winner cite it (incorrectly, in my view), but he also provides a valuable insight into his forty years of research into learning in schools which helps us make sense of the conundrum of talent's apparent non-existence while we have well-documented examples of extraordinarily talented individuals, in the visual arts at least. Enjoy the episode. *** RELATED EPISODES 18. Bounce by Matthew Syed 20. Genius Explained by Michael Howe 22. The Talent Code by Daniel Coyle 24. Outliers by Malcolm Gladwell SUPPORT You can support the podcast and join the community forum by visiting https://buymeacoffee.com/edubookcast.

Season 2 of the Pedagogue-Cast is here! The Pedagogue-Cast is a separate podcast project I share with Justin Matthys, founder of Maths Pathway. We discuss the kinds of questions that teachers might have about good practice which touch on cognitive science, making sure both to make the most of the research findings while also making it practical for use in the classroom. In this new season, Justin and I are going to discuss music, flow, focus, student choice, social & emotional learning interventions, and how motivation develops over time. Some places where you can find the Pedagogue-Cast: https://podcasts.apple.com/us/podcast/the-pedagogue-cast/id1637019084 - Apple podcasts https://open.spotify.com/show/437GYDF4jkkFxfkGR4cknc - Spotify https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5idXp6c3Byb3V0LmNvbS8xOTg0NDY3LnJzcw?hl=en - Google podcasts You can also try searching for the Pedagogue-Cast in your favourite podcast app. Enjoy!

After my last episode on behaviourism, cognitivism, and constructivism ("A Message for Zoë"), I heard back from Zoë herself, and also heard from Malin Tväråna, an education researcher in Sweden. I decided that it was worth recording an episode relating what I heard from them, and my thoughts about it. Enjoy the episode. ### REFERENCES Miłosz, Czesław (1953): The Captive Mind. Radford, Luis (2016): The Theory of Objectification and its Place among Sociocultural Research in Mathematics Education. Radford, Luis (2018): Teaching and learning (algebra or something else): Working together to make sense of similarities and differences between theories (and understanding oneself).

My friend Zoë (hi Zoë!) is taking a course on learning design. In it, she heard about Behaviourism, Cognitivism, and Constructivism, and while she said that she found it confusing, her main takeaway is that "you need a bit of each". I recorded this episode to help her have a clearer sense of what these three words really mean, and that "a bit of each" is emphatically not the right message. I thought that others might benefit from the same summary. This is a frequent topic in education courses, and I think it generally gets a pretty poor treatment. Hopefully this will clear things up for a lot of people. Enjoy the episode. *** RELATED EPISODES Note how the distribution of episodes reflects the importance of topics. Behaviourism is important to know about but it really isn't current as a way of thinking about learning, it's more of a historical relic with some lasting applicability to animal training. Constructivism is a mistaken and misleading theory that keeps negatively affecting educational practice and never seems to go away, so I keep having to talk about it. Cognitivism is a really effective approach which deserves to be known more widely - it took me a long time to find out about it, hence why the episodes about it tend to be more recent. Behaviourism: 3. Don't Shoot the Dog! The New Art of Teaching and Training by Karen Pryor Constructivism: 42. Do Schools Kill Creativity? by Ken Robinson; 65. Beyond the Hole in the Wall by Sugata Mitra; 87. Experiential Learning by Colin Beard and John Wilson; 88. The Failure of Constructivist, Discovery, Problem-based, Experiential, and Inquiry-based Teaching; 90. Discovery learning: the idea that won't die; 124. The Cambridge Handbook of the Learning Sciences Cognitivism: 79. What learning is; 80. The Chimp Paradox by Prof Steve Peters; 82. Memorable Teaching by Pepps McCrea; 85. Why Don't Students Like School? by Daniel Willingham; 95. The Reading Mind by Dan Willingham; 132a. Direct Instruction and Project Follow Through; 132b. Direct Instruction: the evidence; 135. Professional writing expertise; 136. Congitive architecture and ACT-R; 136+. Interview with Prof. Christian Lebiere on ACT-R and Cognitive Architecture REFERENCES I mention the following article as one where the authors (eminent figures in cognitive architecture, one of whom is a Nobel Prize winner) ask Constructivists to stop misrepresenting their work and saying things in direct contradiction to the evidence. Anderson, Reder, & Simon (1999). Applications and Misapplacations of Cognitive Psychology to Mathematics Education. SUPPORT You can support the podcast and join the community forum by visiting https://www.buymeacoffee.com/edubookcast.

In the previous recording, I was speaking about political economy using the example of prison gangs, taken from David Skarbek's book Social Order of the Underworld. In this recording, I give the example of 18th-century Atlantic pirates, as discussed in Peter Leeson's The Invisible Hook. (It's a pun on Adam Smith's "invisible hand of the market".) We may have an image of pirates as fearsome, but this is at least somewhat deliberately manufactured by the pirates themselves. They wanted to have such a reputation so that their victims wouldn't resist as they looted their ships. There are parts of the pirate lifestyle, such as democracy and voluntarism, that we don't tend to discuss because they were part of life on a pirate ship but not something that they felt the need to advertise widely. What is most notable is that pirates' way of life seemed to be significantly preferable, and their governance significantly more "progressive", than that on merchant ships, which tended to be highly autocratic and abusive. It also provides a different perspective when we realise that sailors went into piracy at a time of labour market oversupply due to the ending of the War of Spanish Succession, when the British Navy didn't have the funds to keep on so many sailors, and yet this was the career of tens of thousands of young men who now had to find a job elsewhere. Overall, in these two recordings, I hope to have shown you that thinking about people's motivations and situations from the perspective of political economy makes a lot more sense, and builds a much richer picture, than merely psychological or sociological explanations (such as childhood trauma, psychopathy, or people's fundamental evil or violent nature). With this in mind, I hope that in future we can use more of this thinking when considering education, so that we can understand better how it works and how to improve it. Enjoy the episode.