The project will use a database containing video recordings of candidates who took the exam during the pandemic period in 2020.
The database will form the basis for the development of artificial intelligence algorithms that will help auditors identify cases of fraud. The scientists plan to correlate the data with applicants’ videotaped behavior and use it to train artificial intelligence algorithms. This approach will help prevent cheating and other violations.
The study started after the transition to distance education in 2020. Scientists have revealed that there is a big difference between students’ entrance grades and their first session results.
Source: Ferra
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