‘Weighing a pig doesn’t make it grow faster’

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As a classroom teacher, and an English teacher at that, numbers are not my friends. Therefore I didn’t ever have a great attitude towards data or data-driven practices. My feeling about ‘data’ (which strictly equated to quantitative assessment scores in my mind) was that data entry was a bureaucratic process strongly associated with compliance and accountability.

Being good with ‘paperwork’ and a bit of a girly swot, I would dutifully enter assessment data as directed – usually around report writing time. If I accessed data, I would use it to group students (particularly for reading and spelling purposes). As a Head of Department, I would use data to reflect on which Achievement Standards to focus our teaching efforts on for the following year. And that was about my sum total of interaction with, and thinking about, data.

So it follows quite logically that I had a limited understanding of the school’s SMS (Student Management System). I could plug in assessment results and access behaviour and attendance records as needed. I rarely linked these three concepts: assessment, wellbeing, pastoral needs, in my head, let alone to consider how an SMS might help me to do this. So the SMS was rarely used in any meaningful way by me.

Fast-forward a year or so, and in my new role as an advisor for the Connected Learning Advisory I was asked to contribute to a Ministry of Education SMS initiative which ultimately saw us develop an online resource and deliver workshops for school leaders throughout New Zealand. This project was definitely going to challenge my personal knowledge and, frankly, my attitude towards using an SMS, but I’m always up for a challenge – especially when I get to collaborate with my brainy fellow CLA colleagues!

During the course of my reading and research, I discovered this quote by Timperley:

“…evidence related to students is something that informs teaching and learning, rather than being seen as a reflection of the capability of individual students that is most useful for sorting, labelling and credentialing.” Timperley (2010), p.2

Cue lightbulb moment.

You can use data to reflect on your own practice! Data not only shows me what my students have learned (or not) but how I have taught!

Oh. I had seriously missed the boat for about 15 years as a classroom teacher.

You approach data with an inquiry mindset. You seek to put a ‘face on the data’ (Sharratt and Fullan, 2012): to use data holistically to help tell the story of the learner who sits behind the numbers. These are ideas I can connect with: building empathy; immersing yourself in quantitative and qualitative data to understand the classroom context more. After all, these are design thinking attributes.

And this works strategically too – broader than the classroom, this data inquiry mindset can be used at a whole-school or even Community of Learning level. If we see data as the ‘canary in the coalmine’ we can recognise strengths and weaknesses which inform future initiatives and how to resource them (including professional learning). Data-driven practices are learner-focused for improved outcomes. Now that’s an equation I can get on board with!

So, no, weighing a pig won’t make it grow faster, but it might suggest how the farmer can improve their techniques to make fatter, happier pigs.



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