The article presents an expanded and structured approach to the development of an adaptive mobile educational system focused on the formation of individual learning trajectories and improving the effectiveness of the digital educational environment. The full cycle of creating a mobile application on the Flutter platform is considered, starting from designing the user interface and organizing client logic to configuring the server infrastructure and integrating with Firebase cloud services that provide data storage, user management, processing test results and collecting training analytics. The architecture of the system is based on the principles of pure architecture and the Model-View-ViewModel pattern, which helps to reduce component connectivity, increase modularity, improve testability and further scalability of the project. The article presents key functional modules: user registration and authorization, viewing educational materials, adaptive testing mechanism, intelligent error analysis, learning progress analysis panel, as well as a chatbot using artificial intelligence methods for interactive support of students. Considerable attention is paid to information security issues: encryption methods, password hashing, role allocation, and activity logging are used. The developed system demonstrates the potential of modern technologies to create a sustainable, secure and personalized mobile learning platform.

BIGALIYEVA A.Z.

PhD, acting associate professor, Abylkas Saginov Karaganda technical university, Karaganda, Kazakhstan

E-mail: bigalievaalfija@gmail.com, https://orcid.org/0000-0002-0136-5402

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