Development of a knowledge base to support adaptive learning based on pedagogical diagnostics
Year: 2025
Type: article
Abstract: This article discusses the process of developing a knowledge base to support adaptive learning based on pedagogical diagnostics. Adaptive learning is becoming an important tool for a personalized approach in education, allowing the educational process to be dynamically changed depending on the individual characteristics of students. Particular attention is paid to the role of pedagogical diagnostics in identifying the strengths and weaknesses of students, as well as in the formation of individualized learning trajectories. The article analyzes existing methods and approaches that use artificial intelligence, expert systems and analytical tools to automate the processing and interpretation of diagnostic data. A conceptual model of a knowledge base is provided, which can significantly improve the efficiency of the educational process, providing more accurate diagnostics and optimization of educational strategies.
Author: N. O. Maulenov
Institution: Q University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4409458339