Opportunities and Challenges of AIGC in Smart Education

Smart education plays a crucial role in contemporary teaching and learning processes, driving not only the digital transformation of education but also greatly enhancing its personalization, equity, and efficiency. Despite facing numerous challenges, Artificial Intelligence Generated Content (AIGC) presents numerous new opportunities for smart education due to its powerful auto-generation capabilities. This paper comprehensively outlines the challenges of AIGC in smart education, covering several aspects such as auto-generation of teaching content, generation and navigation of learning paths, creation of learner profiles and personalized content, intelligent Question and Answering (Q&A), precise assessment, and smart education platforms. It reviews the research and progress made by scholars both domestically and internationally in response to these challenges. The main contributions of this study include proposing a novel multi-layered research framework, which provides a clear direction for future work on AIGC in smart education, and offering fresh perspectives for innovation and development in smart education.