Influential Study Touting ChatGPT in Education Retracted Over Red Flags
Influential Study Touting ChatGPT in Education Retracted Over Red Flags
The retracted study on ChatGPT in education was already cited hundreds of times.
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The retracted study on ChatGPT in education was already cited hundreds of times.
Three new papers in Nature from the SCORE project find that around half of social science studies hold up under replication, reproducibility, and robustness tests. Many commentators have read this as failure. Might there be a more optimistic reading, and one that points to where social science needs to go next?
The Research Software Directory makes software tools used in research easily discoverable and usable. Thus, it also helps other researchers to reproduce and verify research results.
Four coordinated laboratories discovered and replicated 16 novel findings with ostensibly gold standard best practices.
Chris Graf (and colleagues) present five reasons to be cheerful about research integrity and peer review.
'Data leakage' threatens the reliability of machine-learning use across disciplines, researchers warn.
Are 25 year olds really more random than 60 year olds?
How can we make sure that medical trials reported in the scientific literature are real? It is surprisingly hard - but not impossible.
To speed research, express conclusions as testable statements, and incorporate testing into training.
A high-profile replication study in cancer biology has obtained disappointing results. Scientists must redouble their efforts to find out why.
Lack of rigour is often blamed on pressure to publish. But ethnographers can find out what truly keeps science from upping its game.
The emergence of the novel SARS-CoV-2 coronavirus and the global COVID-19 pandemic in 2019 led to explosive growth in scientific research. Given the high stakes of the situation, it is essential that scientific findings, on which good policy depends, are as robust as possible; as the empirical example shows, reproducibility is one of the keys to ensure this.
In this article, we look at some of the measures we can take as individual scientists and as a global community to improve the reproducibility and rigor of scientific endeavor.
Make science more reliable by placing the burden of replicability on the community, not on individual laboratories.
FULL TEXT. Requiring undergraduate students to perform what is termed original research for their thesis, an investigation that cannot constitute a replication of an existing study, is a failed opportunity for science and education, argues Daniel Quintana.
Requiring undergraduate students to perform what is termed original research for their thesis, an investigation that cannot constitute a replication of an existing study, is a failed opportunity for science and education.
Grass-roots action against bad behaviour has spurred reform - and should keep going.
Addressing weaknesses and limitations in your science will reassure potential funders, say grant-writing coaches.
Study of nearly 7,000 scientists also finds that more than half engage in 'questionable research practices'.
This factsheet is a result of the 57th online seminar "Practical Steps Towards Open and Reproducible Research" (10 February 2021), organised by the Helmholtz Open Science Office.
An Open Science initiative for the independent execution of computations underlying research articles during peer review to improve reproducibility.
The next phase of the Executable Research Article project will focus on reducing barriers to the authoring and publication of reproducible research papers.
Replication, an important, uncommon, and misunderstood practice, is making a comeback in psychology.
The National Information Standards Organization (NISO) today announces the publication of its Recommended Practice on Reproducibility Badging and Definitions. This new Recommended Practice provides a set of recognition standards that can be deployed across scholarly publishing outputs to easily recognize and reward the sharing of data and methods.
As the scale of biological data generation has increased, the bottleneck of research has shifted from data generation to analysis.
Bad papers are still published. But some other things might be getting better.