The Role of Artificial Intelligence in Controlling Online Exams and The Principles of Modular Architecture

Boynazarov I. M; Ochilova F. S; Ibadov T. A; Saidova A. B

Boynazarov I. M Samarkand branch of Tashkent university of information technologies named after Muhammad al-Khwarizmi
Ochilova F. S Samarkand branch of Tashkent university of information technologies named after Muhammad al-Khwarizmi
Ibadov T. A Samarkand branch of Tashkent university of information technologies named after Muhammad al-Khwarizmi
Saidova A. B Samarkand branch of Tashkent university of information technologies named after Muhammad al-Khwarizmi

Keywords: Distance Learning, Artificial Intelligent, Autoproctoring, Modular Architecture, Academic Integrity, LMS (Learning Management System)

Abstract

This article examines the problem of academic integrity in distance learning, the legal framework in Uzbekistan, and the relevance of control systems based on artificial intelligence. The study employed methods such as literature review and system modeling. As a key result, a robust, scalable, and flexible modular architecture for online proctoring was proposed. The study analyzes the primary components of the architecture, their interrelationships, and the associated advantages. This approach enhances the reliability and transparency of online assessments.

References

M. A. Jo‘rayev, Fundamentals of Artificial Intelligence and Its Practical Applications, Tashkent: “Ilm Ziyo”, 2021.

Z. R. Islamov, “Using Artificial Intelligence Technologies in Online Exam Systems”, Information Technologies, no. 3, pp. 27–32, 2022.

Sh. K. Abdullayev, Information Security and Intelligent Systems, Bukhara: BukSU Publishing House, 2020.

D. B. Kattabekov, “Organization of Educational Systems Based on Modular Architecture”, Innovative Educational Technologies, no. 1, pp. 45–50, 2023.

O. Sh. Turgunov, Monitoring and management in digital education systems, Tashkent: “Science and Development”, 2022.

T. R. Abduganiyev, “Modern approaches to the effective use of artificial intelligence in education”, Young scientist, no. 4, pp. 14–18, 2021.

U. M. Karimova, Architecture of information systems and their modular foundations, Tashkent: “Innovation”, 2020.

Sh. N. Nematov, “Face recognition and behavior tracking algorithms in online assessment”, On the path to science and development, no. 2, pp. 66–70, 2023.

Kh. T. Kholmatov, Fundamentals of Artificial Intelligence and Machine Learning, Karshi: QDPI Publishing House, 2021.

Ministry of Information Technologies and Communications of the Republic of Uzbekistan, “Strategy for the Implementation of Digital Education”, Tashkent, 2023.

S. R. Toshpu'latova, “The Role of AI in Controlling User Activity in an Electronic Learning Environment”, Education and Practice, no. 3, pp. 21–26, 2022.

M. Kh. Gul'omov, Pedagogical Technologies and Digital Control Systems, Namangan: “Ilm Markaziy”, 2021.

J. E. Rakhimov, “Technologies for Analyzing Participant Behavior in Online Education”, Science and Innovations, no. 1, pp. 36–41, 2023.

F. D. Sattorov, New generation educational platforms and their modular structures, Tashkent: “New generation of the century”, 2022.

R. T. Yuldoshev, “Artificial intelligence-based proctoring systems and their capabilities”, Information Society, no. 2, pp. 55–60, 2023.

S. A. Mamatkulov, “Directions for digitizing the education system based on artificial intelligence technologies,” Information Technologies and Education, no. 2, pp. 45–50, 2023.

Z. M. Kuchkarova, “Modular system architecture and artificial intelligence capabilities in managing online tests,” Journal of Education and Innovative Research, no. 4, pp. 68–74, 2024.