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News Wire / technology

Russian Schools Deploy Signal Jammers To Prevent Cheating

Radio Zvezda Moscow 16d16d Impact 3

Rosnadzor head Anzor Muzaev reported that artificial intelligence successfully identified a student cheating during a state exam. Officials warn that students caught with such devices will be removed from exams and face academic consequences. Last year, three schools in Saint Petersburg allowed artificial intelligence to assist in grading test papers. In March, some schools in the Moscow region used AI to grade student notebooks. Experts suggest that while AI was used for checking, it is too early to determine if the technology will be expanded to high-stakes national exams. Signal jamming devices, costing between 100,000 and 2 million rubles, are being ordered by schools for use in classrooms. Educational institutions in Russia are increasingly purchasing signal jamming devices to prevent students from using technology to cheat.

Rosnadzor head Anzor Muzaev reported that artificial intelligence successfully identified a student cheating during a state exam. Officials warn that students caught with such devices will be removed from exams and face academic consequences. Last year, three schools in Saint Petersburg allowed artificial intelligence to assist in grading test papers. In March, some schools in the Moscow region used AI to grade student notebooks. Experts suggest that while AI was used for checking, it is too early to determine if the technology will be expanded to high-stakes national exams. Signal jamming devices, costing between 100,000 and 2 million rubles, are being ordered by schools for use in classrooms. Educational institutions in Russia are increasingly purchasing signal jamming devices to prevent students from using technology to cheat. These devices, which are slightly larger than a pack of paper and equipped with antennas, cost between 100,000 and 2,000,000 rubles. Some schools have been utilizing these tools for up to three seasons. Teachers are utilizing video surveillance and artificial intelligence systems to detect suspicious movements within classrooms. These measures aim to supplement traditional monitoring methods that are easily bypassed by students. The deployment follows concerns regarding the effectiveness of existing classroom supervision.

Topics

artificial intelligence education surveillance

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