Navigating The Future Of Education: The Impact Of Artificial Intelligence On Teacher-Student Dynamics

Abstract

As artificial intelligence (AI) continues to advance, its integration into various aspects of society, including education, raises both opportunities and challenges. This review paper delves into the evolving landscape of education, focusing specifically on the intricate interplay between AI and teacher-student dynamics. By synthesizing existing literature, this paper examines how AI technologies are reshaping traditional educational paradigms and influencing the roles and relationships of teachers and students. The analysis begins by elucidating the multifaceted roles of AI in education, ranging from personalized learning platforms to automated grading systems. Through a comprehensive review of studies, we explore the potential benefits of AI in enhancing educational outcomes, such as increased efficiency, personalized learning experiences, and access to resources.

However, alongside these benefits, concerns regarding the impact of AI on teacher-student dynamics emerge. This paper critically evaluates the ethical, social, and pedagogical implications of AI integration in education. It considers issues such as algorithmic bias, privacy concerns, and the potential dehumanization of the learning experience.

Furthermore, this paper highlights the importance of maintaining human-centric approaches in education, emphasizing the irreplaceable role of teachers as mentors, facilitators, and role models. It underscores the need for intentional and ethical AI implementation strategies that prioritize equity, inclusivity, and student well-being.

This paper offers insights into navigating the complex intersection of AI and education, urging stakeholders to adopt a balanced approach that harnesses the benefits of AI while safeguarding the essence of teacher-student relationships and fostering holistic learning environments