EXPLORING THE DIFFERENT WAYS ARTIFICIAL INTELLIGENCE IS USED IN LEARNING: A STUDY ON MASTER STUDENTS AT QATAR UNIVERSITY

Abstract

This following MA study explores the different ways Artificial Intelligence (AI) is used by students who are enrolled in the College of Arts and Sciences master's degree programs at Qatar University. To collect data on the students' experiences, perceptions, and challenges associated with AI usage. The study used both qualitative and quantitative for the methodology, a survey and interviews. The study interviewed 15 students, and these interviews were one-on-one. For the survey, there were 96 replies received. It draws on two theoretical frameworks: Constructivist Learning Theory and Self-Directed Learning Theory. The thesis explores how MA students at Qatar University are integrating AI technologies into their academic learning, revealing that AI tools are widely used to support various tasks. The findings align with both Constructivist Learning Theory and Self-Directed Learning Theory, showing that students actively engage with AI to build knowledge, set learning goals, and reflect on their progress. Nonetheless, the study also identifies some limitations within these theoretical frameworks. Moreover, some students expressed concerns about ethical issues, including data privacy, algorithmic bias, and the risk of overreliance on technology. To address these challenges, the thesis provides recommendations for raising awareness about AI biases, creating institutional ethics guidelines, and offering ongoing education on AI use and digital literacy.