Leveraging Ai to Enhance Engagement, Performance, and Accessibility in Remote and Hybrid Learning Postpandemic: A Systematic Review

Abstract

The COVID-19 pandemic catalyzed a sweeping transformation in the global education landscape, J forcing institutions to rapidly adopt remote and hybrid learning models. While these models provided flexibility, they also posted significant challenges, such as disengagement, performance disparities, and accessibility issues. Artificial Intelligence (A1) has emerged as a potential solution to address these challenges, offering innovative tools to enhance student engagement, improve academic performance, and promote accessibility. This systematic review explores the role of Al in remote and hybrid learning environments, particularly in the post-pandemic era. The review examines the applications of Al in fostering engagement through personalized learning experiences, enhancing academic performance via real-time feedback and intelligent tutoring, and ensuring equitable access to education through assistive technologies. Additionally, the review considers challenges and ethical concerns associated with the integration of Al in education. By synthesizing the current literature, the paper provides insights into the promising role of Al in shaping the future of education in hybrid and remote settings.