Effective Adaptive Learning: Strategies and Challenges Toward Leading and Effective Education

Abstract

This article addresses a contemporary issue related to effective adaptive learning, as existing educational systems are witnessing a series of developments by adopting various strategies, approaches, and options within e-learning models. These advancements stem from the outcomes of educational technology and the integration of artificial intelligence (AI) applications into the education sector. In this context, effective adaptive learning emerges as one of the innovative strategies designed to meet learners' needs. This approach considers the characteristics and learning styles of each student individually, utilizing modern technology and advanced tools to design personalized learning environments tailored to each student's needs. Consequently, it enhances and improves learning outcomes, distinguishing itself from traditional education systems while offering advantages not present in conventional e-learning models.

Building on this premise, the article aims to shed light on adaptive learning, examining its components, criteria, and unique features. It also discusses its challenges and obstacles before presenting a set of recommendations and proposals to overcome these barriers and expand its applications. The ultimate goal is to develop higher education and address contemporary students' learning difficulties, transforming technology into a positive and effective educational asset.