Neil Selwyn
Host at Meet The Education Researcher
sociology of education + digital | Monash University | current interests: automation, AI, facial recognition, datafication, eco-justice + digital degrowth
Articles
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6 days ago |
nepc.colorado.edu | YearBy Year |Neil Selwyn
The promise of ‘labour-saving’ technology is rarely straightforward. While new technologies will often lead to different working conditions, whether or not these equate with better working conditions tends to contestable (especially if we ask the pointed question of ‘better for whom?’).
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1 month ago |
nepc.colorado.edu | YearBy Year |Neil Selwyn
The past few years have seen various examples of the fully-automated classroom be put into operation, prompting equal amounts of consternation and celebration. One such Arizona charter school opening in 2025 is described as using AI-driven platforms to give students short bursts of personalised ‘core instruction’. This school – ‘Unbound Academy’ – will be fully-online and targeted at fourth to eighth graders.
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1 month ago |
nepc.colorado.edu | YearBy Year |Neil Selwyn
Share Share on Bluesky Why is Facebook not here? Why is Twitter not here? Share on LinkedIn Permalink Email March 5, 2025 I’ve tried AI for things like student feedback and been very surprised. We had a 10-mark Geography assignment on Google Docs. I thought the AI would be hopeless, but I put in a list of criteria that I wanted it to mark and the comments were spot on.
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2 months ago |
nepc.colorado.edu | YearBy Year |Neil Selwyn
One common theme throughout our initial conversations about AI with teachers are issues of time. Here, the primary narrative being pushed by school leaders and AI vendors is the idea of AI as a time-saver – taking on the burden of time-consuming but inessential tasks, and thereby ‘freeing up’ teachers “so you’ve got time to do other things that you never get time to do” [#1]These framings of AI have certainly surfaced across our three study schools.
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Jan 8, 2025 |
nepc.colorado.edu | YearBy Year |Neil Selwyn
As Melanie Mitchell argues in a recent article in Science, experts and non-experts alike have long struggled with finding the right words to describe AI. This means that AI is an area of technology that is full of metaphors, many of which convey the idea of AI tools being capable of doing things that humans do – training, recognising, making decisions and so on.
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