Adaptive Learning: AI's Journey in Education and Beyond

Abstract

Continuous learning is an essential and influential aspect of acquiring skills and advancing in one's work throughout one's life. Nevertheless, the task of recognizing and matching one's skills with appropriate career trajectories is a difficulty, frequently resulting in learners pursuing courses that may not be compatible with their personalities. This study explores an adaptive learning framework enhanced by Artificial Intelligence (AI) to forecast learners' interests and skillsets, assisting in making well-informed career decisions.

The study used artificial intelligence approaches to analyze behavioral data, utilizing machine learning and data mining to extract patterns from student variables. Through a methodical examination of job choices and their alignment with personal interests, this customized learning approach promotes more effective professional decision-making, potentially increasing rates of success. The role of AI in education extends beyond personalization to revolutionize educational methods. The system implements adaptive learning, customizing courses based on individual progress and pinpointing challenging areas for targeted focus. Furthermore, AI-powered solutions aid instructors in managing administrative duties, allowing them to focus on curriculum creation and improving teaching standards.

This research paper aims to fill the research vacuum in personalized e-learning systems by doing a thorough literature review. It highlights the significance of individualized education and the identification of learning styles. Furthermore, it emphasizes the influence of artificial intelligence (AI) on the process of acquiring knowledge, demonstrating its capacity for tailoring instruction to individual needs, adjusting to changing circumstances, and ensuring academic integrity. Additionally, it underscores the role of data analysis in customizing educational experiences and its effect on the realm of higher education.