Designing the architecture of information and educational systems: integration approaches and standards

The article is dedicated to the pressing issue of overcoming the limitations of traditional monolithic Information-Educational Systems (IES). The research aims to develop and substantiate a comprehensive conceptual model for a next-generation IES architecture capable of meeting the challenges of modern digital pedagogy. The methodology involved systems analysis, a comparative analysis of EdTech standards, and modeling methods. The main result is a proposed multi-layered architecture based on the principles of microservices, cloud technologies, and the Zero Trust concept. The model provides a detailed description of the interaction between functional layers, including access channels based on micro-frontends, an API gateway, a set of independent services, and a data and analytics layer. Special attention is given to system integration based on modern open standards (LTI Advantage, xAPI, Caliper Analytics, Open Badges). It is concluded that the proposed approach enables the creation of flexible, scalable, and secure digital educational ecosystems, forming a technological foundation for implementing learning analytics and personalization based on artificial intelligence.

1. ADL Initiative. Experience API (xAPI) [Electronic resource]. - 2023. - Available at: https://xapi.com (accessed 31.08.2025).

2. 1EdTech Consortium. LTI, OneRoster, Caliper, Open Badges Specifications [Electronic resource]. - 2024. - Available at: https://www.imsglobal.org (accessed 31.08.2025).

3. Open edX. Architecture and MFEs Documentation [Electronic resource]. - 2024. - Available at: https://docs.openedx.org (accessed 31.08.2025).

4. Moodle HQ. Moodle App and Scalability Guidelines [Electronic resource]. - 2023. - Available at: https://moodle.org (accessed 31.08.2025).

5. European Parliament. Artificial Intelligence Act [Electronic resource]. - 2024. - Available at: https://artificialintelligenceact.eu (accessed 31.08.2025).

6. Chen Y., Li Q., Wang J. Scalability and Resilience in E-Learning: A Case Study on Migrating a Monolithic LMS to a Cloud-Native Microservices Architecture // IEEE Transactions on Learning Technologies. - 2022. - Vol. 15, No. 4. - P. 468-481.

7. Schmidt A., Meyer T. Beyond the Monolith: The Shift Towards Interoperable Digital Learning Ecosystems // Computers & Education. - 2023. - Vol. 198. - 104775.

8. Gupta R., Patel S. A Data-Driven Architecture for AI-Powered Personalized Learning at Scale // Journal of Learning Analytics. - 2024. - Vol. 11, No. 1. - P. 19-35.