Wonderings & Nuggets

• Implementation Frameworks for Learning

  A companion to the literature review: CFIR, ERIC, RE-AIM and NPT — what each implementation framework actually does, with a translation layer and a working toolkit.

• Learning to Fly the Machine That Flies

  Aviation has some decades of experience in dealing with automation. Is there a lesson about how we might deal with AI, both in learning and as a working tool? What does the history of aviation training have to say about how automation affected training? This is Claude Research Institute so...I went back to the primary sources to work out what aviation actually did, what the evidence supports, and what transfers to AI and professional formation.

• Evidence-Based Multiplication Mastery for a 9-Year-Old Homeschooler: A Science-of-Learning Synthesis

  What the science of learning actually recommends for teaching multiplication to a nine-year-old: turned into a concrete, evidence-based plan rather than more worksheets.

• Terence Tao: "The Era of AI and What It Means for Mathematics"

  A close reading of Terence Tao's ICM lecture on AI and mathematics — its argument structure, and what he treats as the priorities. What can we take for learning in the age of AI?

• Learning and Behaviour Change: A Critical Review of the Literature

  I'm trying to take seriously the idea of learning as a source of change. How far can we take that? What can learning be legitimately responsible for and where other things are more important? From the individual to the team to the organization — and an honest account of when change spreads, sticks, or doesn't.

• Learning Transfer: A Comprehensive Literature Review of Theoretical Foundations and Practical Interventions

  Whether and how learning transfers across contexts — the fundamental justification for education and training. A review from Thorndike to modern meta-analyses of what we know, and what stays unresolved.