Exploring the Efficacy of Adaptive Learning Platforms Enhanced by Artificial Intelligence

Abstract

This research study explores the rapidly growing area of AI-powered adaptive learning systems and how they are influencing individualised education. The purpose of this research is to examine these systems' capacities to improve education for students from a variety of backgrounds, as well as their limitations and opportunities. Adaptive learning, which includes data analytics, machine learning models, and algorithms driven by artificial intelligence, is the focus of this review. Learners' requirements and preferences are taken into account as these technologies adapt the delivery of content, tempo, and evaluation methods to each individual. The study also looks at how adaptive learning platforms driven by AI affect students' motivation, grades, and ability to remember what they've learned. Additionally, the authors look into ethical concerns related to data privacy, algorithmic biases, and fair access to technology.

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