The recent banning of smart phones in public schools by several state governments shows Australian policymakers are concerned about children’s use of technology and social media in school time. But what about the way our schools use digital technologies and, in particular, how the data collected by schools about our children is being used? Continue reading
The Journal of Philosophy in Schools recently published a special issue which has a focus of ‘Future Education: Schools and Universities’. The editors, Michael Levine and Laura D’Olimpio, offer the following provocation in their introduction to the issue:
For the past four months I’ve been teaching a course on policy and politics to masters students. It’s a course I love teaching as it always links to contemporary events and it’s easy to point students to media stories and policy announcements. Things are always happening in the policy space (and we wonder why teachers get change fatigue). Over the time that I’ve run this latest iteration of the course, the policy that has been in the media the most, I believe, would be Gonski. Gonski in terms of the new 80-20 funding model and Gonski, the education review called ‘Growth through Achievement‘.
My analysis is that ‘Gonski’ has become a brand. And the Liberal party have been working hard to transfer ownership of the Gonski brand, to themselves. Continue reading
This post is the second in my ongoing exploration of the second Gonski Report. The first post is Through Growth to Achievement #Gonski Review 2.0
The ever insightful Dean Ashenden presents his analysis in Inside Story: An end to the industrial model of schooling? Ashenden writes that while the latest Gonski report points a way to the future of school reform, it has not broken with its disastrous past.
The panel was constrained by four realities. It was asked to “focus on practical measures that work,” an approach that, it turns out, it didn’t really agree with. Second, what no doubt looks to the minister to be a perfectly reasonable effort to ensure value for money may look to others like a velvet glove around Canberra’s financial fist. A third difficulty is that the report had to come up with an approach that could and would be implemented faithfully by each of Australia’s twenty-plus very different school jurisdictions. And, finally, the review was required to focus on school and classroom practice when most of the problems, including problems in practice, have their origins elsewhere.
In sum, the panel was asked to resolve two deep and ancient schisms in Australian schooling — the conflict between “conservative” and “progressive” educational approaches, and the conflict between the federal government and the states — while pinning down the notoriously elusive relationship between school funding, educational practice and academic outcomes — and to do it all with one hand tied behind its back, in eight or nine months.
So just over 12 months ago, I blogged about the ‘Evidence for Learning’ [E4L] Toolkit, which was, then, newly available for Australian teachers as an accessible resource which purports to break down research in order to provide a metric of “what works”. (At this juncture I’m reminded of Dylan Wiliams’ warning that ‘everything works somewhere, and nothing works everywhere’). Anyhow, discussion about evidence is back on educational radars once more.
In my post last year I referred to the work of my colleague, James Ladwig, who at that time, blogged about why Australia does not yet have the research infrastructure for a truly credible, independent National Evidence Base for educational policy. James has returned to the topic of evidence again, writing about what is going wrong with ‘evidence-based’ policies and practices in schools in Australia:
Now just think about how many times you have seen someone say this or that practice has this or that effect size without also mentioning the very restricted nature of the studied ‘cause’ and measured outcome.
Simply ask ‘effect on what?’ and you have a clear idea of just how limited such meta-analyses actually are.
This is all very topical because yesterday’s report into the Review to Achieve Educational Excellence in Australian Schools recommends (recommendation 5.5) the establishment of a national research and evidence institute to drive better practice and innovation. As an educational researcher myself this sounds very good, depending of course, on how evidence is defined and understood. Continue reading
So the second Gonski Report was released today. The first Gonski report was a review of school funding and was released in 2012. This Gonski Report is a report into the Review to Achieve Educational Excellence in Australian Schools
The facebook Cambridge Analytica scandal raises some important questions about the use and security of user’s data, and the operating practices of such companies. The scandal is not so-much that there had been a “breach” but rather that users data had been shared as part of facebook’s business model. It is a model that relies value provided by the data that facebook’s users share. This data, it turns out, is not only of value to advertisers, but as it turns out, political analysts and campaign consultants.
Arguably, this situation has developed because facebook is a form of what’s been termed ‘platform capitalism’. [See Nick Srnicek’s Platform Capitalism for more information]
‘With a long decline in manufacturing profitability, capitalism has turned to data as one way to maintain economic growth and vitality in the face of a struggling production sector.’ (p6)
Platforms as data engines
This is where platforms come in. If data has become a massive new raw material for capitalism, then platforms are the engines that allow it to process this data
Given that such platforms need data as the basis of their product that they use to turn into a profit, techniques developed at places such as Stanford University’s Persuasive Technology Lab are used to the develop and refine these platforms so that people enjoy sharing their data, photos, comments, ‘likes’, etc and receiving positive feedback. This “quantifiable social endorsement” (Sherman, et al, 2018) reinforces data-sharing behaviour, and increases the likelihood that people will continue to provide data to such platforms.
Like all many new technological developments, ethics seems to be the caboose on the end of the train, never able to get ahead and steer the developments powered by new scientific and technological discovery and exploration. Continue reading