THE DIGITAL TRANSFORMATION OF COMPETENCY ASSESSMENT: CHALLENGES AND FUTURE OF INTELLIGENT SYSTEMS

Abstract

This article is devoted to the conceptual substantiation of an intelligent information system for competency assessment as an instrument for overcoming the limitations of traditional approaches and ensuring individualization of the educational process in the context of digitalization of higher education. The study addresses the global problem of the gap between competency-based approach requirements and existing assessment tools that fail to meet the needs of educational process individualization. The limitations of traditional learning management systems (LMS) are analyzed, which demonstrate significant deficiencies in their ability to analyze qualitative information and ensure system adaptability to the individual needs of learners. The theoretical framework of the research defines the essence of competency as a complex dynamic set of professional knowledge, skills, abilities, and value orientations, substantiates the principles of competency assessment, and reveals the characteristics of intelligent systems as a new class of automated information processing systems. A conceptual architecture of an intelligent information system for competency assessment has been developed, integrating multiple data sources, complex analytical modules, and adaptability mechanisms. The research findings demonstrate the unique capabilities of intelligent information systems in conducting deep semantic analysis, generating personalized recommendations, adapting learning materials, and providing comprehensive competency assessment. The application of neural network technologies, decision support systems, and natural language processing in the context of competency assessment is examined in detail. The main limitations and challenges of implementing intelligent systems are analyzed, including the complexity of modeling creative activities, the "black box" problem, data quality requirements, and information security assurance. The conceptual substantiation of the system demonstrates its potential as an effective tool for enhancing educational process quality through individualization, personalization, and continuous improvement of educational practices. The proposed cognitive technology for competency development integrates an individualized approach to learning and ensures a cyclical process of continuous competency development for learners. The intelligent information system represents a paradigm shift toward more sophisticated, adaptive, and learner-centered assessment methodologies that align with contemporary educational imperatives and technological capabilities.