INTEGRATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN EDUCATION AND SCIENCE: CHALLENGES AND OPPORTUNITIES
Abstract
The article analyzes the theoretical foundations and practical aspects of implementing artificial intelligence (AI) technologies in educational and scientific space. Based on a systematic analysis of international research and empirical data, the main directions of AI application in education are summarized, in particular: personalization of learning through adaptive educational trajectories, automation of pedagogical tasks, and the development of AI-integrated learning management systems. Special attention is paid to generative artificial intelligence (GenAI), which has the potential to transform traditional approaches to teaching and scientific research.
The research methodology is based on a comprehensive approach that combines theoretical analysis of scientific publications, systematization of AI implementation approaches, empirical study of educational practices, and formulation of practical recommendations. The analytical toolkit of the study covers six main theoretical approaches: systemic, activity-based, competency-based, symbolic, connectionist, and hybrid, which makes it possible to comprehensively consider the processes of AI integration into the educational environment.
The key challenges of AI implementation are identified in three dimensions: technical (ensuring the accuracy and scalability of solutions, integration with existing educational platforms), pedagogical (maintaining the human factor and developing critical thinking, finding an optimal balance between innovative and traditional teaching methods), and ethical (data protection and ensuring equal access to technologies).
Recommendations are provided regarding the structure of a professional development program for teachers on using AI in the educational process, which includes modules on AI fundamentals, practical application of tools, teaching methods, ethical aspects, and project work. Methodological approaches to the systemic implementation of AI in educational institutions are proposed, covering the development of digital infrastructure, training of teaching staff, and the formation of institutional policies.
The scientific novelty of the study lies in the proposal of a symbiotic “Human-AI” approach aimed at the harmonious combination of human creativity and empathy with the technological efficiency of AI. The practical significance of the results lies in the possibility of their use by higher education institutions (HEIs) to modernize the educational process and develop recommendations for implementing AI technologies. Prospective areas for further research are outlined, the study of AI's impact on students' cognitive processes, the development of methods for ensuring academic integrity, and the improvement of mechanisms for protecting personal data in the educational environment.
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