Artificial Intelligence (AI) is fundamentally reshaping the educational landscape, revolutionizing the dissemination and assimilation of knowledge. As AI and Large Language Models (LLMs) continue to advance, they are redefining traditional educational paradigms, offering novel opportunities for highly personalized and engaging learning experiences. This paper introduces an innovative AI-powered document-to-discussion system that exemplifies this transformation, demonstrating how AI can convert static educational materials into dynamic, interactive audio dialogue-based experiences. The system leverages sophisticated LLMs and natural language processing capabilities to deliver personalized, on-demand educational support across a wide range of subjects. By transforming educational documents into engaging, dialogue-driven audio experiences that emulate authentic conversations between educators and learners, and by incorporating methods that stimulate critical thinking, inquiry, and guided exploration, this technology represents a significant evolution in both the creation and consumption of educational content.

A key outcome of this research is the empirical evaluation of the system through practical trials, which offers valuable insights into its efficacy and potential for integration into instructional practices. The paper details the LLM and audio generation mechanisms underlying the system, elucidates the development process, and explores potential applications across diverse educational domains. Our research and a thorough analysis of pertinent literature suggest that LLM-powered educational assistants, equipped with discussion-generation capabilities rooted in approaches such as Socratic questioning and Maieutic dialogue, possess the potential to markedly enhance the learning experience by providing timely, individualized support. Additionally, they may foster active listening skills and promote self-paced learning through podcast-like formats. Nevertheless, the paper also addresses challenges including the assurance of content accuracy, the maintenance of an engaging dialogue flow, and the seamless integration of this technology into established educational frameworks. Ultimately, this research seeks to elucidate the transformative potential of AI-assisted education, encouraging educators to explore and implement these innovative instructional methodologies, while carefully weighing their respective benefits and limitations.

Keywords: Artificial Intelligence, Large Language Models, Personalized Learning, Student Engagement, Interactive Learning.