When her college started requiring students to complete an internship in order to graduate, it created a serious dilemma for Janelle.
“I wouldn’t be able to do classes, do the internship and work to make money – which is kind of important because I’m basically just paying for school as I can,” Janelle said in an interview for a study of internships during her junior year in South Carolina…
Using bibliometrics to measure and assess researchers has become increasingly common, but does implementing these policies therefore devalue the metrics they are based on? Here researchers present evidence from a study of Italian researchers revealing how the introduction of bibliometric targets has changed the way Italian academics cite and use the work of their colleagues.
Peer review is integral to the award of funds for academic research. Lambros Roumbanis argues that randomly awarding research funding via lotteries presents a more rational, efficient and most importantly unbiased means of distributing research funding.
The Journal of Health Psychology has led the charge into reviewing the published work of the late Hans Eysenck, and the editor of that journal, David F. Marks, and historian of psychology Roderick D. Buchanan, note the detritus of a Kings College London inquiry — 61 retractions for Eysenck’s work so far — and argue the case spotlights the need for a new body to ensure future research integrity.
The gig economy is characterized by contract, freelance, or short-term work engagements with employers who do not provide benefits beyond the immediate payment. This type of transactional employment is becoming more common in academia. What does this mean for research?
The higher education system rests on the principle of meritocracy, with entry into the ‘top’ Russell Group universities supposedly the product of ability. This is despite growing attention to the over-representation of independent school students studying at the ‘top’ universities, with state school students and disadvantaged groups less likely to secure admission.
Universities in effect, argues our Robert Dingwall, are asked to exercise all the responsibilities of parents and to act as a secular equivalent of the medieval church as the conscience of the nation.
The Psychological Science Accelerator is a global network of more than 500 labs in more than 70 countries which aims to re-do older psychology experiments, but on a mass-scale in several different settings. The effort is one of many targeting a problem that has plagued the discipline for years: the inability of psychologists to get consistent results across similar experiments.
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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