Debunking Hattie: Evaluating the Contribution of Academic Studies to Policy Development and Implementation in Australia

Eddie Blass
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Abstract

John Hattie’s book ‘Visible Learning’ published in 2009 can only be described as an amazing feat of scientific inquiry. He and his team created a mega-analysis, a meta-analysis of 800 meta-analyses, to see what the visible effect sizes were of different elements on education. To generalise, pretty much everything had an effect, mainly positive, with the mean effect size being 0.4. This has then been pretty much adopted into practice as anything being above 0.4 as having an above average impact, and hence being ‘good’, and anything below 0.4 having a below average impact and hence being ‘not so good’. While such a sweeping generalisation ‘makes sense’ in terms of rational logic, I argue here that it has been incredibly damaging in limiting the thinking on educational progress and change in the Australian policy context. I stage this argument in 5 sections: methodology, context, assumptions, leadership and currency – and offer this as a framework for evaluating academia’s contribution to policy agendas. I conclude by reflecting on Hattie’s later papers which move his conclusions forwards academically but have yet to do so in practice.
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揭穿海蒂:评估学术研究对澳大利亚政策制定和实施的贡献
约翰·哈蒂在2009年出版的《可见学习》一书只能被描述为科学探究的惊人壮举。他和他的团队创建了一个大型分析,一个包含800个荟萃分析的荟萃分析,来看看不同因素对教育的可见效应大小。总的来说,几乎所有东西都有影响,主要是正影响,平均效应大小为0.4。这被广泛地应用到实践中,因为高于0.4的东西具有高于平均水平的影响,因此是“好的”,低于0.4的东西具有低于平均水平的影响,因此是“不太好”。虽然这种笼统的概括在理性逻辑上是“有意义的”,但我在这里认为,它在限制澳大利亚政策背景下对教育进步和变化的思考方面具有难以置信的破坏性。我将这一论点分为5个部分:方法论、背景、假设、领导力和货币——并将其作为评估学术界对政策议程贡献的框架。最后,我回顾了哈蒂后来的论文,这些论文在学术上推动了他的结论,但在实践中还没有这样做。
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