Artificial Intelligence as a Catalyst for Innovation in the Educational Space and Strategic Vectors of Its Development Olga Vorfolomeyeva, Dina Aitkalieva, Roza Abuova, Lyazzat Kazhenova, Saltanat Tabyldiyeva Cultural Management: Science and Education 10 No. 0 (2026) https://doi.org/10.30819/cmse.10-0.04     pp: 49-65     2026-04-02

Artificial Intelligence as a Catalyst for Innovation in the Educational Space and Strategic Vectors of Its Development

Stichworte/keywords: Digital transformation, personalised learning, educational technologies, multi-parametric model, statistical analysis, pedagogical innovations

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Abstract
This study explores the strategic integration of artificial intelligence (AI) into Kazakhstan’s educational system, focusing on its impact on personalised learning, intelligent tutoring, and administrative optimisation. Using a systematic literature review, comparative analysis of pedagogical models, and content analysis of regulatory frameworks, the study identifies three key vectors for AI development: adaptivepersonalised learning, collaborative educator-technology interaction, and administrative-analytical optimisation. Findings show that AI enhances academic performance, reduces learning time, and increases learner engagement, particularly in subjects requiring adaptive content and interactivity. The study highlights the importance of a balanced integration strategy, where AI supports pedagogy rather than replacing it, and emphasises the need for robust digital infrastructure and teacher professional development. It also identifies challenges in AI adoption between urban and rural schools in Kazakhstan. The research contributes a multidimensional framework for evaluating AI integration and provides strategic recommendations for its sustainable implementation within national educational systems.

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