Transforming Microlearning with Generative AI: Current Advances and Future Challenges

Microlearning has seen a significant transformation thanks to the emergence of generative AI technology. Reinventing the learning and teaching paradigm and fostering personalized, adaptive learning experiences. This article explores the integration of generative AI in microlearning settings, focusing on its contributions to micro-content creation, stepwise generation processes, benefits, and limitations. Firstly, it delves into how generative AI is integrated into microlearning environments, emphasizing its potential to optimize learner involvement and improve learning results. Secondly, it discusses the role of generative AI in creating micro-content. Thirdly, it outlines a stepwise approach to micro-content generation using AI, highlighting key stages from data collection to continuous improvement. Fourthly, it examines the benefits of generative AI in microlearning environments, including personalized learning experiences and optimized resource allocation. Finally, it addresses the limitations of generative AI in microlearning, emphasizing challenges such as content quality assurance and ethical considerations. Through a comprehensive examination of these points, this article offers valuable perspectives on how generative AI could shape the future of microlearning, showcasing its transformative potential.