Leveraging Deep Learning and Natural Language Processing for Personalized Education: Opportunities and Challenges

Abstract

Unlike traditional AI, which relied heavily on rule-based systems, the new generation is driven by machine learning (ML) and deep learning. These technologies allow AI to learn from data, improve over time, and make decisions without explicit programming. Machine learning models can process vast amounts of information, identify patterns, and adapt to new data with increasing accuracy. Deep learning, a subset of machine learning, uses neural networks to simulate the way the human brain works, enabling more complex decision-making and reasoning.