Artificial intelligence tools like OpenAI’s ChatGPT language model could make completing college coursework as simple as asking a computer questions and getting answers at the click of a button (to the prospective horror of some professors). In fact, 61 percent of college students say using AI tools will become the new normal, but does that new normal involve students learning or machines learning?
In the words of of one Botswanan: “There is a lot of mistrust. People come here with their research vehicles, but they do not talk to us. They do not involve us.”
Andrew Hoffman writes that business schools are slow to respond to students’ changing ideals, sticking to a heavy emphasis on 50-year-old notions of shareholder primacy and a “greed is good” mentality. He proposes a different business school model that emphasizes management as a calling.
Jasper Knight identifies five key issues that underlie working with human subjects in research and which transcend institutional or disciplinary differences.
There is little available information about aggregate patterns of scholarly journal editorships. This may change soon, as Andreas Nishikawa-Pacher writes, thanks to a novel dataset created in collaboration with Kerstin Shoch and Tamara Heck that provides new insights into the landscape of journal editing.
Have sociologists better understood some of Adam Smith’s cautions than have economists?
Can bad news about companies be good news for them? How should companies turn crisis management to change management?
Research is highly difficult during global crisis, such as the COVID-19 pandemic has demonstrated, but at the same time essential, again as […]
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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