ПЕДАГОГИЧЕСКИЕ ВОЗМОЖНОСТИ ИНТЕГРАЦИИ ГЕНЕРАТИВНОГО ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В СИСТЕМУ ВЫСШЕГО ОБРАЗОВАНИЯ КАЗАХСТАНА

Abstract

This article examines the opportunities and prospects for integrating artificial intelligence (AI) into the higher education system of the Republic of Kazakhstan in the context of widespread digitalization and the transformation toward an intelligent society. It provides an analysis of both domestic and international studies on the application of AI technologies in university education and scientific research. Particular attention is given to Kazakhstan's national initiatives in this field, including the Artificial Intelligence Development Concept for 2024-2029, the AI-Sana program, and the measures being implemented to advance the digital transformation of higher education. Based on a theoretical and methodological analysis and an examination of the practical experience of Shakarim University, the study identifies the key directions for the integration of generative artificial intelligence into the educational process. It describes the university's AI-driven solutions and intelligent agents designed to support academic and research integrity, personalize learning, facilitate project-based and research activities, predict students' academic performance, and enhance the efficiency of university infrastructure management. The study substantiates the use of the ChatGPT Edu platform and the OySyn text similarity detection system as tools for developing digital competencies, improving the quality of educational and research content, and ensuring objective assessment of learning outcomes. The paper also highlights the risks associated with the reliability of AI-generated content, academic misconduct, copyright protection, and personal data privacy. It concludes that further investigation into the effectiveness of AI implementation in higher education, including pedagogical experiments involving students from diverse academic programs, is essential.