VQV Signal
Researchers analyzed stylometric features from texts written independently and with ChatGPT assistance by 90 participants. They tested eight machine learning classifiers to distinguish GPT-assisted writing from original student work.
Researchers analyzed stylometric features from texts written independently and with ChatGPT assistance by 90 participants. They tested eight machine learning classifiers to distinguish GPT-assisted writing from original student work.
AI-assisted summary based on the listed source.
Distinguishing GPT-assisted from independently authored student writing has become a critical challenge in academia. This paper evaluates the discriminative capability of interpretable stylometric features extracted solely from submitted text. Using data from 90 participants who wrote both independently and with...
Detecting AI-assisted writing is increasingly important in academic integrity efforts. This study offers insights into interpretable features that can help identify GPT-generated content in student submissions.
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