ORYNBASSAR M.
Caspian university of technology and engineering named after Sh.Yessenov,
Assistant-professor of the Department of Computer Science
Aktau, Kazakhstan
E-mail: maksym1.orynbassar@yu.edu.kz
ZHUMADILOVA M.
Caspian university of technology and engineering named after Sh.Yessenov,
Candidate of Technical sciences, Associate professor of the Department of Computer Science
Aktau, Kazakhstan
E-mail: mereke.zhumadilova@yu.edu.kz
ABDYKERIMOVA E.
Caspian university of technology and engineering named after Sh.Yessenov, Candidate of Pedagogical sciences,
Professor of the Department of Computer Science Aktau, Kazakhstan
E-mail: abdykerimova_el@mail.ru
*Corresponding author: elmira.abdykerimova@yu.edu.kz
Abstract. The article explores the impact of artificial intelligence (AI) on Kazakhstan#8217;s education system and its potential to fundamentally transform learning and administrative processes. AI#8217;s ability to analyze big data allows educators to gain deeper insights into student performance, predict outcomes, and develop strategies to improve academic achievement. It also enhances personalized learning by offering students tailored educational content that matches their individual knowledge levels and learning pace. The automation of administrative tasks such as scheduling and grading significantly improves the efficiency of educational institutions, allowing teachers more time for direct engagement with students. The article thoroughly examines both the benefits and challenges of AI integration, including issues of digital inequality, access to modern technologies, and the need for ongoing professional development for teachers. Ethical considerations related to the protection of student data are also emphasized. Examples of successful AI implementation in international education platforms are provided, offering valuable insights for Kazakhstan. The article discusses opportunities for further investment in educational infrastructure and outlines key areas for digital development.
Keywords: artificial intelligence, big data, education, Kazakhstan, personalized learning, automation, data analytics.
DOI 10.56525/KFGK8889