Author

Z. Nurbekova

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#large language models Open access Oct 2026

A multifactor model for assessing programming knowledge based on the synchronization of AI analytics and expert evaluation

The widespread adoption of generative AI tools has created new methodological challenges for the validity of assessment in higher education. If a neural network can write code, how can a student's actual knowledge be assessed objectively? This study proposes a multifactor AI-assisted assessment model for the fair e...

Z. Nurbekova, M. Kemelbek, A. Sagimbayeva et al. · Frontiers in Education · 0 citations

Open access Sep 2026

Development of a data mining methodology for an analytical system supporting students’ professional development

In the context of rapidly evolving digital economy requirements, the intellectual support of students’ professional development based on the analysis of educational data and labor market demands has become an important challenge for higher education institutions. The aim of this study is to develop a methodology for th...

D. Naimanova, Z. Nurbekova, Z. Alimova et al. · Frontiers in Education · 0 citations

Review 2025

How can machine learning personalize educational content generated by LLMs

It is suggested that ML-guided prompt routing can improve perceived relevance of instructional materials while remaining transparent and easy to calibrate and integrate interpretable ML predictions with prompt-engineered LLMs can automate individualized content generation and improve learning outcomes.

Petr Tsekoyev, T. Sembayev, Z. Nurbekova · AI@DTESI · 0 citations