Article · Ingénierie des systèmes d information · April 30, 2026
Ontology-Based Digital Learning Platform for Kazakh Language in Primary School: Curriculum-Aligned Semantic and Adaptive Approach
Gaziza Yelibayeva, Aizhan Nazyrova, Martin Strecker, Razakhova Bibigul Shamshanovna, Altynbek Sharipbay
Abstract
This study presents the design, implementation, and evaluation of an ontology-based digital learning platform for teaching Kazakh language in primary school.The platform is developed using ontology modeling tools, including OWL, RDF, and Proté gé , and integrates adaptive learning mechanisms to enhance student engagement and learning outcomes.A quasi-experimental pre-test/post-test design without a control group was employed, involving 200 students across grades 2-4 in Astana.The platform organizes educational content semantically, covering six language competencies: vocabulary, grammar, spelling, reading, writing, and text comprehension.Statistical analysis revealed significant improvements between pre-and post-tests (p < 0.001), with average performance gains of 16-21% and Cohen's d effect sizes up to 1.14, indicating moderate to large educational impact.The study demonstrates that ontology-based structuring facilitates automated content generation, semantic feedback, and personalized learning paths.Moreover, the platform supports interpretable reasoning for educators, enabling targeted interventions and monitoring.The results provide preliminary evidence that integrating curriculum-aligned ontologies into intelligent learning systems enhances language skill acquisition, independent learning, and classroom engagement.This research contributes a scalable framework for developing educational technologies tailored to agglutinative languages, offering both practical guidance and a foundation for future AI-supported learning tools in primary education.
More by Gaziza Yelibayeva
- Directional Asymmetry of Domain-Adversarial Adaptation in Cross-Corpus Speech Emotion RecognitionIEEE Access · 2026
- Constituency Syntax Parsing of the Kazakh LanguageLecture notes in networks and systems · 2026
- Fine-Tuning Transformers for Multi-Label Emotion Classification: Experiments on Kazakh News TextsInternational Conference on Computer Science and Engineering · 2025
- Сomparative analysis of grading models using fuzzy logic to enhance fairness and consistency in student performance evaluationCogent Education · 2025 · Citations: 17