The Generative AI Landscape in Education: Mapping the Terrain of Opportunities, Challenges, and Student Perception

Generative AI (GAI) technologies like ChatGPT are transforming the educational landscape. Their integration presents significant opportunities for personalized learning and enhanced student \nengagement but also raises challenges related to academic integrity and the role of human educators. \nThis study aims to provide a comprehensive review on using multiple GAI tools and their influence on \nacademic outcomes, bridging the gap in the current literature. A systematic literature review has been \nconducted, adhering to PRISMA guidelines, to discuss findings on the opportunities and challenges of GAI \nin education.This review includes theoretical and empirical studies employing qualitative, quantitative, and \nmixed-methods approaches. We have also examined conceptual frameworks and innovative AI applications, \nfocusing on originality and ease of implementation. To gather insights into students’ experiences and \nperceptions regarding the use of Generative AI (GAI) in education, a survey has been conducted with 200 \nundergraduate university students. GAI offers opportunities for personalized learning, task automation, educator support, efficiency enhancement, innovative approaches, and increased student engagement. However, \nchallenges include assessment integrity concerns, potential overshadowing of educational values, accuracy \nof AI-generated content, disruption of critical thinking skills, and ethical and privacy considerations. The \nstudent perception survey reveals that most students find AI systems helpful in assisting with academic \nwork. Besides, they are aware of the challenges and limitations associated with the technology.