Monthly Archives: April 2023

Fracture and Feelings – Togetherness and Otherness

I’ve been revisiting the writing on ‘Togetherness – Otherness’ today, writing about fracture. It’s been a fractured week: my attention has been fragmented and partial, everything feels incomplete. So it was with some surprise that i found i liked the … Continue reading

Posted in Learning | Tagged , , | Leave a comment

Learning Science Crash Course #1

Today i am sharing some of our ongoing writing for the Learning Science book: this part sits in the central, second, section, and provides an overview of aspects of the ‘hardware’ and ‘software’ in our heads. This is our second … Continue reading

Posted in Learning | Tagged , , , , , | Leave a comment

#LearningScience – The Hardware and Software

Just #WorkingOutLoud today with an illustration for the next section of the Learning Science book that i’m working on with Sae and Geoff. Earlier we described how Learning Science techniques and tools can be considered in five categories: [1] How … Continue reading

Posted in Learning | Tagged , , | Leave a comment

Change Within Systems

In general, the systems that we design are designed to persist: it’s not that they are not intended to change, ever, but rather that they are not intended to accidentally or carelessly change right now. At least, not without our … Continue reading

Posted in Learning | Tagged , , , , , | Leave a comment

The Time Till Failure

Sometimes failure is easy to perceive: a crash, shock or fracture. But if we focus our vision on the specific point of failure, we may miss the opportunity to learn from the run up, and legacy of it. Indeed, in … Continue reading

Posted in Learning | Tagged , , , , | Leave a comment

Our Spaces of Difference

There is much discussion about the polarising nature of social media, the increasingly partisan nature of politics, and the seemingly endless spaces of our difference and dissent. And it is true that we live in noisy times, where often the … Continue reading

Posted in Learning | Tagged , , , , , , , | Leave a comment

Considering Bias in Generative AI, in 250 Words

We consider something biased when it gives disproportionate weight to one particular perspective, feature, or output. Humans tend to be biased because we form our worldview largely from personal experience, and through what we read, watch, are taught, or told. … Continue reading

Posted in Learning | Tagged , , , | 1 Comment

The Impact and Opportunity of Generative AI on Learning in 250 words

To find simplicity, we sometimes need to travel through the complex. Here i’ll share a simple view about Generative AI and learning in just 250 words. Better not waste any. ‘Generative AI’ describes a family of algorithms that deliver seemingly … Continue reading

Posted in Learning | Tagged , , , , , , | Leave a comment

10 Ways To Become A [Bad] Learning Scientist

So far, in our work towards the Learning Science book, Sae, Geoff, and I have written some thoughtful articles about complex ideas like Learning Ecosystems, Social Metacognition, and even the Nature of Knowledge itself. We’ve tried to provide a thoughtful, … Continue reading

Posted in Learning | Tagged , , , , , , , , , , , , | Leave a comment