Concerns surrounding academic integrity are hitting the highest rungs of university leadership, including presidents. Here's some examples on how the sector can maintain high standards.
"The file-drawer effect," the Journal Impact Factor and the pressure to produce are pushing some researchers to forego academic rigor and inhibiting the peer review process.
AI detectors like Turnitin and GPTZero are turning in false positives on students' use of AI, and it is becoming harder and harder for educators to determine how often their students are using the tool.
However, firsthand use of generative AI changed administrators' beliefs about the need for regulation. Only 14% of those who use it believe it will negatively affect student learning.
With robust digital credential programs emerging at schools across the country, it’s clear that academic records and credentials are a natural place to begin.
New data suggests that students are turning in fewer AI-generated assignments and are just as concerned about AI as you may be, citing ethical and moral conundrums related to the use of the tool.
Just when it seemed artificial intelligence had hit its peak, this new iteration of OpenAI's chatbot can turn hand-drawn pictures into fully functioning websites and recreate the iconic game Pong in less than 60 seconds.
The tool, expected to launch in April, is capable of detecting 97% of ChatGPT writing with a less than 1% false positive rate, according to the company.
To begin with, do away with the essay: They’re vague, hard to score and more than a third of students admit to making them up. After all, asks one academic integrity researcher, “What’s their incentive for telling the truth?”
Alex Lawrence is one of academia's earliest adopters of the controversial tool in the classroom, and, thanks to it, he has witnessed a sizable elevation in student comprehension of class curriculum at a very early stage of the spring semester.
