Artificial Intelligence in Education: Influence, Impact and the Future of Teaching-Learning Dynamics

Abstract

The study explores the various ways that artificial intelligence (AI) is influencing education and looks at potential future developments in the dynamics of teaching and learning. Through a thorough review of empirical research conducted between 2014 and 2025, teacher and student qualitative interviews, and case study analyses, the study examines how AI is changing curriculum development, teacher roles and student learning outcomes, assessment models, and pedagogical practices. Results show that AI provides data-driven support that makes individualized training possible while improving learner engagement, feedback systems, instructional efficiency, and personalization. But these advantages come with serious drawbacks, such as unequal access, a lack of readiness among teachers, ethical questions about data use and algorithmic bias, and a lack of infrastructure in low-resource environments.

            The report also assesses how ready educational institutions are to incorporate AI in a sustainable and morally responsible manner. It concludes that although generative and adaptive AI tools can enhance educational experiences, human elements like teacher confidence, digital literacy, and institutional policy frameworks play a significant role in their effectiveness. The study ends by predicting future directions for AI integration in education, based on stakeholder insights and current research. It emphasizes the necessity of strict teacher training programs, hybrid human-AI pedagogical models, and the creation of ethical and legal protections. These steps are necessary to guarantee that the application of AI in education promotes creativity in a variety of teaching-learning contexts, maintains human-centered learning, and improves equity. (Zawacki, Marin, Bond & Gouverneur, 2019, pp. 3-27)