AI IN HIGHER EDUCATION: DEVELOPMENT OF A COMPREHENSIVE MODEL
AI IN HIGHER EDUCATION: DEVELOPMENT OF A COMPREHENSIVE MODEL

Summary/Abstract: Artificial intelligence (AI) technology is increasingly gaining importance in various fields, as it has the potential to drive innovation, enhance efficiency and revolutionize processes. The integration of AI into higher education institutions is transforming the landscape of teaching, learning, research, and administrative functions. This paper presents a comprehensive model designed to include the diverse aspects of AI adoption within the higher education ecosystem. The model includes the following components: AI, infrastructure, ethical and legal considerations, students, teaching staff, management and administration, research and innovation and evaluation. Every component plays an important role in enabling the integration of AI technologies across different areas of higher education. Additionally, the paper outlines various activities and goals for the implementation of AI technology in higher education for different stakeholders. Implementing AI in higher education offers the potential to optimize resource allocation, improve management efficiency, advance scientific research, enhance teaching materials, personalize learning experiences, and enrich the educational journey for both students and faculty members. AI’s ability to analyze vast amounts of data and support decision-making processes can greatly improve educational quality and operational efficiency in academic institutions.

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