Abstract
The objective of this research is to examine the process of teaching and analyzing the expressive stylistics of the Kazakh language through a digital educational environment. The study addresses the problem of insufficient methodological and technological tools for the systematic teaching of complex expressive linguistic constructions. To address this, the study proposes a conceptual model for a synergetic web-based platform that integrates linguistic theory with digital technologies. Data collection was conducted over a six-month period at major Kazakhstani universities using a mixed-methods design. The instruments included a specialized research corpus comprising 32,000-word tokens for system training, a validated multi-section digital questionnaire assessing linguistic knowledge and user attitudes, and a standardized 10-point expert evaluation form. Empirical evaluation involved 218 undergraduate and graduate students and an expert panel. Pre–post testing demonstrated a significant improvement in the identification of expressive stylistic units, with student accuracy increasing from 46.8% to 71.3% (p < 0.001). Expert assessments (mean score of 4.7/5.0) confirmed the accuracy of the implemented classifications, including evaluative suffixation and syntactic emphasis patterns. The platform proves effective for university courses and professional development requiring scalable, consistent instruction in Kazakh stylistic analysis.