Classification and integrated assessment of AIS architectures: a reproducible decision-making methodology for designing adaptive systems of additional education

The article offers a reproducible methodology for selecting the architecture of intelligent information systems (AIS) for additional professional education (APE). The classification of architectures (centralized, distributed/microservice, cloud, multi-agent) was performed, six evaluation criteria (adaptability, scalability, interoperability, reliability, data security, complexity of implementation) were formalized, and an integrated metric was developed that takes into account external constraints (technical, legal, financial) and the phase aspect of the application (entry, mass training, individual support). The methodology is based on an analytical review of publications, comparative analysis and case analysis of typical platforms (Moodle, Open edX, Stepik), as well as the calculation of a summary indicator of the suitability of architectures. The scientific novelty consists in the integration of architectural, technical, pedagogical and technological requirements into a single model with explicit consideration of limitations and phases of use; the practical significance lies in the possibility of adjusting weights and the applicability of the model for decision-making in vocational training organizations. The work forms a methodological basis and serves as a starting point for subsequent scientific research and empirical validation of the proposed model.