Many social scientists find themselves members of a cult of quantification, argues Robert Dingwall, in love with numbers for their own sake even when those numbers produce no useful knowledge.
The arts can have a role in both conducting social science and in getting into the hands of the wider community, argues Kip Jones, and should be in the quiver of research methods. Plus, it takes a step away from using PowerPoint!
Technology may bring efficiencies to higher education, argues David Glance, but only if the expectations of both the suppliers and consumers fundamentally change.
The author of a new introduction to statistics textbook was bothered that even among students who but their required books they rarely crack them open. So he decided to give them an incentive.
The line between studying online and studying on campus is increasingly blurry, argues tech thinker David Glance.
rather than damning Wikipedia and Google for their imperfections, Amy Antonio argues we both embrace them and teach students how to validate the information they find there.
In the case of higher education the discussion of technology’s influence is often superficial, repetitious and disappointing, argues Tom Cochrane of Queensland University of Technology. It’s too often context free, and about being a university student and/or academic.
After a few weeks of no school and visits from family, friends, and Santa it’s hard to get ourselves back in the […]
Drawing on discussions with academics who have oriented their work around public engagement and social impact, Daniel Pearson suggests these academics present an opportunity to rethink the existing structures of reward and recognition in higher education. “We are, as a species, addicted to story,” says English professor Jonathan Gottschall in his book, The Storytelling Animal. “Even when the […] Tom Burns, whose combination of play — and plays – with teaching in higher education added a light, collaborative and engaging model […] A 2024 report by the National Academies explores the latest advances in artificial intelligence (AI) technology and their potential effects on economic productivity, job stability, and income inequality. It also highlights key research opportunities and data needs to help workers and policymakers adapt to the evolving AI landscape. In this post, co-authors Frank T. Piller, Tucker J. Marion, and Mahdi Srour reflect on the inspiration behind their research article, “Generative […] During the final stages of editing the proofs for Artificial Intelligence and Work: Transforming Work, Organizations, and Society in an Age of Insecurity, […]
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Impact
Young Scholars Can’t Take the Field in Game of Academic Metrics
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Canada’s Storytellers Challenge Seeks Compelling Narratives About Student Research
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Tom Burns, 1959-2024: A Pioneer in Learning Development
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Innovation
NAS Report Examines Nexus of AI and Workplace
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When Do You Need to Trust a GenAI’s Input to Your Innovation Process?
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The Authors of ‘Artificial Intelligence and Work’ on Future Risk
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