Research on the Development of a Proctoring System for Conducting Online Exams in Kazakhstan
Nurpeisova A. Shaushenova A. Mutalova Z. Ongarbayeva M. Niyazbekova S. Bekenova A. Zhumaliyeva L. Zhumasseitova S.
June 2023MDPI
Computation
2023#11Issue 6
The demand for online education is gradually growing. Most universities and other institutions are faced with the fact that it is almost impossible to track how honestly test takers take exams remotely. In online formats, there are many simple opportunities that allow for cheating and using the use of outside help. Online proctoring based on artificial intelligence technologies in distance education is an effective technological solution to prevent academic dishonesty. This article explores the development and implementation of an online control proctoring system using artificial intelligence technology for conducting online exams. The article discusses the proctoring systems used in Kazakhstan, compares the functional features of the selected proctoring systems, and describes the architecture of Proctor SU. A prototype of the Proctor SU proctoring system has been developed. As a pilot program, the authors used this system during an online university exam and examined the results of the test. According to the author’s examination, students have a positive attitude towards the use of Proctor SU online proctoring. The proposed proctor system includes features of face detection, face tracking, audio capture, and the active capture of system windows. Models CNN, R-CNN, and YOLOv3 were used in the development process. The YOLOv3 model processed images in real time at 45 frames per second, and CNN and R-CNN processed images in real time at 30 and 38 frames per second. The YOLOv3 model showed better results in terms of real-time face recognition. Therefore, the YOLOv3 model was implemented into the Proctor SU proctoring system.
AI , artificial intelligence based automated exam proctoring systems , distance learning , information technology , online exam , online proctoring , remote teaching
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Department of Information Systems, Faculty of Computer Systems and Professional Education, S. Seifullin Kazakh Agro Technical University, Nur-Sultan, 010000, Kazakhstan
Institute of Economics, Information Technologies and Professional Education, Higher School of Information Technologies, Zhangir Khan West Kazakhstan Agrarian Technical University, Uralsk, 090000, Kazakhstan
Department of Information-Communication Technology, Faculty of Natural Sciences, International Taraz Innovative Institute, Taraz, 080000, Kazakhstan
Department of Banking and Monetary Regulation, Financial University under the Government of the Russian Federation, Moscow, 125993, Russian Federation
Research and Education Center ‘Sustainable Development’, Moscow Witte University, Moscow, 115432, Russian Federation
Department of Mathematics in Education, M.Kh. Dulaty Regional University, Taraz, 080000, Kazakhstan
Department of Information Systems
Institute of Economics
Department of Information-Communication Technology
Department of Banking and Monetary Regulation
Research and Education Center ‘Sustainable Development’
Department of Mathematics in Education
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