In addition to thinking about forms and characteristics, they hypothesised that thinking about PD in terms of 'mechanisms' might add even more power and nuance to our perspective.
Mechanisms are processes that directly change knowledge, skills or behaviour—approaches typically grounded in evidence from cognitive and behavioural sciences.
→ Things like: goal setting or feedback
Crucially, mechanisms isolate the *causes* of effective PD better than characteristics or forms. Consider a toothpaste analogy:
→ If the form is the package of ingredients
→ Then a characteristic might be the minty taste
→ And a mechanism would be the fluoride
Additionally, because mechanisms are... well, mechanisms... they also communicate *how* the change works.
They provide an 'under the hood' understanding of how certain causes generate change. And in doing so: they help PD designers build 'adaptive expertise'.
The authors suggest that mechanisms are best thought of as the essential 'building blocks' of effective PD.
The more that are present, the more effective the PD will be. And vice versa.
No fluoride = unhealthy teeth.
They identified 14 mechanisms, grouped into 4 PD purposes, and found that:
👇 PD with no mechanisms had zero effects
☝️PD with lots of the mechanisms had effect sizes of around 0.17, equivalent to around +2 months of additional pupil progress
Furthermore, they found indications that the more 'balanced' the PD was—as in, it had at least one mechanism from each group—the more effective it was.
And they conjectured how PD might fail, should it omit any of these critical groups.
So, what does this all this mean in practice?
Personally, I think it pushes us to think differently about how we evaluate, talk about, and design for PD.
For example, it doesn't really make sense to talk about whether instructional coaching or lesson study are 'effective' or 'ineffective' (or even a 'fad').
Because forms like this can vary quite a lot, and so it *depends* which mechanisms they contain and how they are organised.
It's probably more fruitful to ask ourselves:
→ What mechanisms does this PD form contain?
→ How are they organised, and how is the whole thing implemented?
And then spend our time discussing this stuff.
Relatedly, for those designing PD, there's value in taking a 'mechanisms-first' approach.
This entails thinking less about forms (instructional coaching or lesson study) and more about whether effective mechanisms—the essential building blocks—are in place.
For example, PD designers might ask themselves:
→ What suite of mechanisms do we want to incorporate?
→ How best might we combine, package and implement them?
Important question: what are the likely lethal mutations? Hard to say, but one guess:
🦠Adopting a tick box approach, rather than taking the time to develop a deep understanding of mechanisms, which are often fairly complex and nuanced psychological and behavioural phenomena.
A good place to *start* developing that understanding is Appendix 5 of the full report. For each mechanism, it provides:
→ An overview of the evidence base
→ A short summary the how the mechanism works
→ An example and non-example
Finally, a quick thought on 'where next?'
This study moves many things forward, but for me, the next frontier is around the interplay between PD 'content' and PD 'process'.
Tbf the study *does* dig into this a bit, but I think there's more depth to be mined.
For example, how might the mechanisms be different if we're trying to help teachers develop better assessment approaches vs better behaviour management.
Also: mechanisms-rich PD on brain gym is never going to have +ve impact.
In summary:
→ This is a significant contribution to the knowledge base around PD
→ It challenges how we think, talk about, and design PD
→ And hopefully paves the way for even more research in this area🤞
*HUGE* snaps to:
→ The team: Sam, Harry, Alison, Sarah, Claire, Jo & Jake
→ All those PD researchers who's shoulders this study stands on
→ And @EducEndowFoundn for having the foresight to invest in this
Reminder: this is just *my interpretation*. Prob best to read the reports and come to your own conclusions:
A short thread on one of the most critical concepts in planning for learning:
→ Backwards design
As teachers, nailing our approach to planning is paramount.
It not only makes a huge difference to pupil learning, but also to workload. Berliner suggests that expert teachers plan lessons 50x quicker than novice teachers 🚀
However, effective approaches to planning are not always obvious.
For example, some teachers in their early years (including myself) have found themselves beginning planning by trying to identify a good activity.
A short thread on *trust* in the classroom: why we need it and how teachers can build it.
↓
For pupils, the value of what they learn is nebulous and highly delayed.
As teachers, we continually require pupils to have faith that the objects we ask them to attend to and the decisions we make on their behalf will pay off for them further down the line.
When trust is present, pupils will readily embrace teacher suggestions about where to allocate their attention and effort.
When trust is absent, pupils can view teacher direction as an inconvenience, or even with suspicion, and ultimately reject it altogether.
We are heavily influenced by the behaviour and attitudes of others. The effect is particularly powerful when a large proportion of a group act in a similar way.
→ These unwritten rules of conduct are known as 'norms' and they play a HUGE role in school.
🧵...
First, let's take a step back. Why do norms exist?
Firstly, an ‘imitation’ shortcut to behaviour makes sense from a risk point of view—if those around us are doing it, it can’t be all that bad a bet, right?
Secondly, conformity is a critical pre-condition for large group co-operation. Working together at scale can supercharge our individual and collective success.
But these things are only possible when the behaviour of individuals within a community is consistent and predictable.