DEVELOPING SKILLS FOR ANALYTICAL, CONTEXTUAL, AND AUTOMATED LANGUAGE UNDERSTANDING

This paper examines the development of analytical, contextual, and automated skills in language among high school students. This research was conducted on students in 11th grade in Secondary School No. 30 in Uralsk, Kazakhstan, between October 2025 and February 2026. The main purpose of this research was to test an integrated method of teaching, which encompasses both analytical, contextual, and automated language skills.

Using a mixed-methods approach, the study used a combination of numbers and stories collected via pre- and post-test results, classroom observations, as well as student feedback for the three skills of text decomposition/analysis, undercutting the question of textual meaning, and exploiting technology in the use of language tools for self-analysis.

Analysis of the results shows that there are significant improvements to language understanding when using the combination approach. The quantitative data indicates an increase from 58% to 76% for analytical understanding, from 62% to 81% for contextual understanding, and from 55% to 78% in automated language skills. The qualitative comment provides additional information that students were more engaged, confident, and independent.

This study makes clear the advantage of integrating traditional analysis procedures with context-rich activities and technology-based tools that help contribute towards well-rounded language development. The implications of the findings suggest that the approach is useful for adoption in secondary schools to help students fortify language skills in order to be well-equipped to face the requirements of the modern technology-driven era.