STRATEGIC DEVELOPMENT OF EDUCATION PROGRAM UNDER THE INFLUENCE OF AI
DOI:
https://doi.org/10.20998/2413-3000.2025.10.1Keywords:
Strategic development, Artificial Intelligence, Education, Personalized Learning, Adaptive LearningAbstract
The subject of this research is the strategic development of education programs under the influence of Artificial Intelligence (AI). It focuses on exploring how AI technologies can be effectively integrated into educational systems to enhance learning outcomes, improve administrative efficiency, and address contemporary challenges such as accessibility, inclusivity, and ethical concerns. The object of research is the education programs themselves, specifically their structure, delivery, and outcomes, as influenced by the integration of Artificial Intelligence (AI). The rapid evolution of Artificial Intelligence (AI) has profoundly impacted various sectors, including education. This paper examines the strategic development of education programs influenced by AI, exploring how advanced technologies can transform traditional pedagogies, curriculum design, and educational delivery. It identifies key areas where AI contributes to personalized learning, adaptive assessment, and administrative efficiency, offering solutions to challenges such as accessibility and scalability. The study highlights case examples of AI integration into educational systems and provides a framework for policymakers and educators to strategically implement AI-driven tools. Furthermore, ethical considerations, such as data privacy, algorithmic bias, and the role of educators in an AI-enhanced environment, are critically discussed. The findings suggest that leveraging AI in education requires a balanced approach to ensure innovation aligns with equity, inclusivity, and sustainability. This paper aims to guide stakeholders in harnessing AI to create forward-thinking, effective, and ethical educational programs for the 21st century. The research confirms that AI can profoundly transform education programs by enhancing personalization, efficiency, and scalability. However, addressing ethical and infrastructural challenges is essential for equitable and sustainable adoption. The results provide actionable insights for policymakers, educators, and administrators to strategically implement AI-driven solutions in education.
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