Exploring Students' Engagement with Artificial Intelligence in Educational Tasks: Motivations and Barriers

Abstract

In response to the challenges posed by the COVID-19 pandemic, theintegration of Artificial Intelligence (AI) in education has accelerated,transforming learning landscapes. This study explores students' postpandemicinteractions with AI in educational settings, emphasizingmotivations and barriers. Highlighting the diverse applications of AI,from personalized learning platforms to smart classrooms, the paperidentifies key factors influencing students' engagement, includingpersonalized learning and increased efficiency. However, challengessuch as data privacy concerns and a lack of familiarity with AI hinderwidespread adoption. The findings underscore the need for systematicefforts to address these challenges, ensuring an informed and receptiveenvironment for effective AI integration in post-pandemic education.