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 of these building blocks, grouped them 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.
Here's what the EEF recommend:
IMPORTANT
I'm not saying that we *stop* thinking about 'forms'—it's essential that we understand the efficacy of how PD is packaged.
Just that there's also value in understanding what's going on 'inside' these forms.
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 seminal 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
👊
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The best teachers and leaders tend to think 'upstream'.
What do I mean by that? Here's what you need to know:
↓
First, a quick parable. You might have heard it before, but it's a helpful place to start.
You and a friend are relaxing by a river. Suddenly, there's a shout from the water—a child is drowning.
Without thinking, you both dive in, grab the child, and swim to safety.
Before you can recover, you hear another cry for help. You and your friend jump back into the river to rescue the next struggling child. Then another drifts into sight...
However, they take time and effort to establish, and often lead to an initial dip in performance. During this phase, it can be tempting to give up.
→ This is the 'Valley of Latent Potential'
At their best, routines can:
→ Increase time and attention on learning
→ Reduce behaviour management
→ Increase student motivation, confidence and safety
→ Free up of teacher mental capacity to monitor learning and be more responsive
However, these benefits only emerge when routines become automated.
The amount of time it takes for a routine to automate depends on its complexity and how frequently we instigate it. Simple routines can take 20 repetitions. More complex ones can take up to 200.