Adaptive Learning Technology as a Means of Transferring Traditional Instructional Delivery: A Paradigm Shift

Abstract

Artificial Intelligence (AI) is rapidly transforming the landscape of education, presenting both opportunities and challenges for the 21st-century classroom. AI-powered learning tools offer the potential to revolutionize education by providing personalized learning experiences, automating administrative tasks and enhancing accessibility for diverse student populations. These technologies allow for adaptive learning systems that tailor educational content to the individual needs of students, promoting deeper engagement and improved outcomes. Additionally, AI tools can alleviate teacher workloads, enabling educators to focus more on interactive teaching and student support. However, the integration of AI in education raises significant concerns, including data privacy issues, the exacerbation of the digital divide and the potential dehumanization of education. The use of AI in educational settings may further marginalize students without access to the necessary technology, while also reducing the critical role of human educators in fostering social, emotional and intellectual growth. This paper explores the opportunities and challenges of AI-powered learning in modern education, offering insights into how AI can enhance educational practices while addressing its ethical and social implications. By examining both the benefits and risks, this paper aims to provide a balanced perspective on the future of AI in education, emphasizing the need for thoughtful and equitable implementation.