Search academic texts

Information × Registration Number 0225U001392, (0121U114128) , R & D reports Title The use of neural network technologies to assess the level of preparedness in education popup.stage_title Використання програмного забезпечення для оцінки рівня підготовленості в освітній сфері Head Zakharchenko Raisa М., Кандидат технічних наук Registration Date 30-01-2025 Organization Kherson National Technical University popup.description1 Development of software for assessing the level of preparedness in the field of education popup.description2 A system has been developed using neural networks to detect dishonesty when determining the level of preparedness of education seekers who, using methods of academic fraud, are in a special emotional state. When organizing distance learning, the device that provides contact between the student and the teacher is a webcam. The image transmitted from the camera can be classified in terms of integrity, analyzing the emotions, language, and body language of the student. In order to minimize the risk of dishonesty in exams, you can use video to monitor their behavior. It is difficult to comment on audio, and it is very difficult to collect data. Therefore, to detect fraud in the educational sphere, it is proposed to use the capabilities of a neural network, the work of which will be aimed at classifying images in terms of integrity. Product Description popup.authors Ohnieva Oksana Ye. Sherstiuk Volodymyr H. popup.nrat_date 2025-01-30 Close