NLP and Machine Learning Innovations in Education: Transforming Learning and Personalization

Abstract

This survey chapter examines how Natural Language Processing (NLP) and Machine Learning (ML) are transforming the modern education. It shows ways in which AI technologies are transforming learning experience with intelligent tutoring systems, automated feedback, adaptive learning platforms, and personalized recommendations. The chapter reviews baseline concepts, major applications, and emerging innovations, including large language models and multimodal analytics. It also tackles some of the major issues such as algorithmic bias, data privacy, and ethical use of AI in education. Interdisciplinary work and responsible design are highlighted as being critical to making AI-driven education equitable, transparent, and effective. By combining the current trends, the chapter provides an overview of the way NLP and ML are improving personalization and the future of learning.