Proceedings of International Conference on Applied Innovation in IT  ·  2026/06/12  ·  Vol. 14  ·  Issue 4  ·  pp. 1885–1892
Design and Implementation of a Cloud-Based Intelligent Testing Platform for Higher Education Based on Microservices Architecture
Nafisa Khujamkulova, Shakhlo Khudaykulova, Javokhir Akmaljonov, Latofat Bobomurodova, Umida Ulasheva, Matluba Kholikhova and Jamila Sayfiddinova
In modern education, the effective use of digital interactive tools plays a crucial role in enhancing student engagement and improving the overall effectiveness of the learning process. This study aims to develop and implement an intelligent digital assessment system for higher education institutions that automatically selects test questions according to difficulty level, calculates results in real time, and provides users with graphical analytical reports. The proposed system significantly improves the efficiency and transparency of the assessment process. To ensure fairness and academic integrity during examinations, proctoring technologies and monitoring mechanisms are integrated into the platform. Furthermore, the system utilizes cloud-based infrastructure to enable scalable resource management and continuous system availability. These technological solutions facilitate the integration of the testing platform with other educational systems and contribute to the optimization of the digital learning environment. The developed technological framework ensures high levels of system efficiency, security, and flexibility for large-scale educational applications.
Artificial Intelligence (AI) Microservices Architecture Cloud-Based Assessment System Digital Testing Platform Learning Analytics Automated Test Generation Higher Education Technology RESTful API Integration Educational Data Security Adaptive Assessment Systems
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