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Peps Profile picture
@PepsMccrea
Sep 4, 2021 • 9 tweets • 3 min read • Read on X
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🧵THREAD...

For those who can't make it to my #rED21 session tomorrow, here's the ultraconcise version:
1. Teaching expertise matters.
2. But developing expertise is not something we've cracked, yet.
3. Partly because of the noisy relationship between teaching and learning.
4. Our best bet is to focus on building expert mental models.
5. These consist of mechanics and strategies, encoded in embodied and fluent ways.
6. And organised around the perpetual problems of teaching.
7. We can systematically build these mental models by deploying the active ingredients of PD.
Of course, the reality is *way* more complex... seven images can only go so deep.

For folks interested in the full, complex and nuanced version, you're going to have to wait for the book (which you can PRE-ORDER FOR ONLY £5! ⤵️)

amazon.co.uk/dp/B08HT568NW

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More from @PepsMccrea

Peps Profile picture
Jul 6
Composite Planning (vs solo planning).

Leveraging specialisation & scale for better education:

↓ Image
The quality of any lesson plan (or sequence) is limited by the expertise of the planner and the amount of time available for planning.

Also, the things we teach are often largely similar across many classrooms and schools.
It is for these 3 reasons that—as a profession—we should be thinking hard about 'composite' (rather than solo) approaches to planning.
Read 15 tweets
Peps Profile picture
Jul 3
Despite best intentions and significant investment, England’s SEND system is failing too many students and their families. To fix it, we need to understand why.

Mega-thread summary of my presentation at #FestivalOfEducation today:

↓ Image
This story has 3 parts:

- 5x signs that the system is under strain
- 5x potential drivers of system failure
- 5x principles for more inclusive teaching

IMPORTANT: These school-oriented principles are only ONE PART of a much wider solution to a very serious challenge.
First up, Part 1:

→ Five Signs the System Is Under Strain

(aka the situation is real)
Read 24 tweets
Peps Profile picture
Jun 29
A large part of being an expert planner is about having specific knowledge in 3 areas:

↓ Image
Getting the process of lesson planning right is important when it comes to optimising student learning and teacher workload.

However, it's only a small part of what’s required to actually produce a highly effective plan (and lesson).
We also need significant amounts of domain-specific knowledge, including:
Read 14 tweets
Peps Profile picture
Jun 1
Distractions consume more learning time than we tend to think.

Here's the lowdown:

↓ Image
We (and our students) can only pay attention to and think about a very few number of things at once.

Managing this precious attention is important because what our students attend to is what they end up learning about.
We want them attending to the substance of our teaching, the content of our curriculum... everything else is a distraction.

The problem is that the classroom is a potentially distraction-rich environment, unless we take deliberate steps to stem it.
Read 15 tweets
Peps Profile picture
May 18
🔥 15 hottest edu-research papers from the last 15 weeks:

(all open source 🔓)

↓
1/ Study on teacher enthusiasm

→ finds that teachers who see themselves as enthusiastic use more positive lingo, but students don’t always pick up on this.

bpspsychub.onlinelibrary.wiley.com/doi/10.1111/bj…
2/ Study testing student confidence rating of answers

→ finds it shifts the focus from understanding to memorisation, making knowledge harder to apply.

link.springer.com/article/10.100…
Read 16 tweets
Peps Profile picture
May 11
The most important idea when it comes to AI & education:

WHOEVER DOES THE THINKING GETS THE LEARNING

More:

↓ Image
AI is coming—thick & fast.

LLM’s like ChatGPT are outperforming humans at an ever-increasing range of tasks, their adoption is spreading quicker than any technology before, and they are the least intelligent they will ever be.
However, just because AI is powerful doesn’t mean that it’s good for learning.

Setting aside issues related to accuracy, bias, and privacy—the current generation of LLMs are optimised for helping users SOLVE PROBLEMS, not helping users GET BETTER AT SOLVING PROBLEMS.
Read 11 tweets

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