DEVELOPMENT OF INTELLIGENT KNOWLEDGE CONTROL SYSTEMS: EVOLUTION, ARCHITECTURE, AND KEY TRENDS IN DIGITAL DIDACTICS
Keywords:
Intelligent control systems, artificial intelligence in education, adaptive testing, ontological models, test item generation, large language models (LLM).Abstract
The article analyzes the design and architecture of Intelligent Knowledge Control Systems (IKCS) in digital didactics. The limitations of traditional testing are reviewed, and three core components of IKCS are described: the domain ontology model, the learner's digital profile, and the pedagogical module. The evolution of approaches from Item Response Theory (IRT) to Large Language Models (LLM) and multimodal proctoring systems is systematized. Key trends in IKCS development are outlined, including the shift toward continuous formative assessment and micropersonaliation.
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