Another dot in the blogosphere?

Flipping stats missing

Posted on: August 27, 2014

There is a dearth of research on the impact of flipped learning.

One reason for this is that flipping is viewed by many as a pedagogy or an instructional strategy that can be compared or measured as an intervention.

Flipping is better practised as a philosophy (as this article concludes) and that can be difficult to research. Flipping is an attitude and mindset that revolve around understanding learners, what it means to learn, and how they learn.

So when I chanced upon this “infographic” of flipped classroom statistics by Sophia, one of the things I was most interested in was the dark green section. Here is a partial screenshot.


Unfortunately, it was a section with missing statistics.

Of course I want to see grades go up. But I know that grades go up due to many contributing factors, not just flipping.

Furthermore, there are other benefits of flipping that are no less valuable. For example, attendance rate, completion rates, learner confidence, learner autonomy, etc. If you consider my other two dimensions of flipping, you might also try to determine learner creativity and mastery.

There have been other graphics and short articles that focus on such outcomes and I might have curated a few of them here. But these resources tend to be rare and scattered. Most, like Sophia’s graphic, focus on the teacher, teacher adoption, teacher attitudes, etc.

I say we flip the emphasis on what really matters: The learners and learning.

3 Responses to "Flipping stats missing"

Hi, I just chanced upon this and it coincides with a project I’m carrying out in school at the moment. One of the issues we’re facing is that it’s really hard to collect data on this because there are just too many factors that influence students’ learning so we can’t quite narrow it down. It’s not action research per se, but more of an investigation of possible impact (not even causation cos we can’t pinpoint our shift to blended flipped as the cause). And we’ve been looking for articles to review and learn as we go along but there is seriously a dearth of useful statistical data-driven reports and articles. So this post really struck a chord for me. Thank you for affirming for me that it’s not us, there really aren’t that many reports with data.


You are right about not being able to pinpoint flipping as a cause for something like better results. The other contributing factors are called confounding variables.

You might check out the the resources I created in (see link above) or my Diigo links at for research on flipping.

Hope your project goes well!


Thank you so much 🙂


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