Generative Artificial Intelligence in Education: Cheating Threat or Enhanced Learning Tool?

Abstract

Integrating generative AI into education has sparked a debate regarding its ethical and practical implications. This paper explores the transformative potential of generative AI in various educational contexts, highlighting its ability to generate new data and aid personalized learning. It also addresses concerns about academic integrity and learning quality. This paper advocates for a balanced approach to AI in education by examining different perspectives, including educators and technologists. It suggests that AI can be a valuable educational tool by enhancing student learning and teacher productivity. The discussion extends to AI implementation's potential economic and social challenges and proposes solutions to ensure equal access. Ultimately, the paper concludes that with responsible use, AI can significantly improve educational outcomes and efficiency and offer innovative support for students and educators.