Artificial intelligence in education: analysis of dynamics, perception, and prospects for integration

Abstract

This article delves into the intricate relationship between Artificial Intelligence (AI) and the educational ecosystem, particularly within higher education. It embarks on a detailed examination of how AI's integration influences teaching methodologies, learning experiences, and research processes while also casting a spotlight on the accompanying challenges and concerns. Specifically, it scrutinizes the repercussions on pedagogical communication and student engagement, underpinning its analysis with a study that encompasses an array of dimensions: the fluctuation in student populations and the density of higher educational institutions, the degree of digitalization within these entities, and comprehensive questionnaire responses from students that reveal their perceptions and attitudes towards AI's role in education. This study aims to explore the perspectives and experiences of a critical stakeholder group: students. By dedicating focused attention to both the opportunities and obstacles presented by AI in education, this study aims to foster a nuanced comprehension of its impact. It critically evaluates the potential benefits and drawbacks, equipping stakeholders with the insight needed to navigate the evolving educational landscape. Furthermore, this research aims to spotlight trends in digital competitiveness within the educational sector and propose strategic recommendations for achieving a harmonious balance between innovative and traditional pedagogical approaches. Such balance is pivotal for crafting forward-thinking educational strategies amidst the rapid integration of AI technologies. Through this comprehensive analysis, the study seeks to contribute to the broader discourse on optimizing AI's potential in education while mitigating its challenges, thereby supporting the advancement of an education system that is both innovative and inclusive.