Abstract:
This article presents a project for developing interactive models of an educational resource for determining the semantic
proximity between the ontology of knowledge extracted from a knowledge base based on a given question and the ontology
generated from a student's answer in computer science. A general methodology for developing software has been proposed.
This methodology will form the basis for the automated creation of smart textbooks on computer science in the Kazakh
language using ontological models and thesauri. These educational resource models are suitable for any type of educational
process (Blended Learning Technology (BLT), full-time, part-time). For example, the article describes an online smart
textbook that will adapt to the student's individual learning path by providing personalized text, audio, and video materials,
asking questions, and evaluating answers with an indication of percentage accuracy. A pedagogical experiment has been
conducted to assess the students' performance. The online smart textbook will adapt to the student's learning style by
providing personalized text, audio, and video materials. It will also ask questions and evaluate answers with an indication of
percentage accuracy. In addition, completed assignments were analyzed to assess students' progress using static digital
materials and standard computer testing systems for a dynamic, intelligent learning environment and knowledge assessment.
The results show that the proposed methodology has great potential for increasing student engagement in studying the
formalization and processing of the grammar of the Kazakh language using production rules and, based on them, developing
a grammar processor, creating ontologies, thesauri, and knowledge bases on the content of “Computer Science”.
