Year: 2024
Type: article
Abstract: This paper explores the transformative power ofAdaptive Learning Systems powered by Artificial Intelligence(ALS) to personalize educational outcomes for diverse learners in a way that adaptive learning approaches have the advantage of meeting the needs of the student’s learning style and pace, which traditional education methods have failed to do. It uses data analytics and machine learning algorithms in real time to tailor content and assessment to the specific needs of each learner. In our work, we break down mechanisms by which AI enables timely feedback, changes learning paths, and raises engagement that makes for a more effective and inclusive learningenvironment. Based on case studies and empirical analysis, the contribution of this research will show the added values and challenges AI adaptive learning solutions bring to different educational settings. The findings put so much importance on continuous assessment, hence integrating and harnessing pedagogical best practices for the maximization of AI effect on personal learning.
Author: Tarang Gupta
Institution: Chandigarh University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4404223861