用大模型把幻灯片变教材，支持个性化定制。
Slide2Text: Leveraging LLMs for Personalized Textbook Generation from PowerPoint Presentations
- 通过OCR提取幻灯片内容，用大模型重构为连贯教材
- 自动生成解释、习题和参考文献，提升教学效率
- 适合教师快速制作定制化教材，也适合学生个性化学习
大型语言模型（LLMs）的快速发展正在革新教育技术，推动自动化与个性化内容生成的新范式。本文提出Slide2Text系统，利用大模型将PowerPoint演示文稿转化为定制化教材。该系统通过OCR技术提取幻灯片内容，将其组织成连贯结构，并生成解释、练习题及参考文献等个性化教学材料。灵活的定制选项使其能适配多样化的教育需求。结果表明，该方法显著提升了教材生成效率，展现了大模型在现代教材开发中的潜力。未来工作将探索多模态输入与更高级的用户自定义功能。
原文摘要 · Abstract (English)
The rapid advancements in Large Language Models (LLMs) have revolutionized educational technology, enabling innovative approaches to automated and personalized content creation. This paper introduces Slide2Text, a system that leverages LLMs to transform PowerPoint presentations into customized textbooks. By extracting slide content using OCR, organizing it into a coherent structure, and generating tailored materials such as explanations, exercises, and references, Slide2Text streamlines the textbook creation process. Flexible customization options further enhance its adaptability to diverse educational needs. The system highlights the potential of LLMs in modernizing textbook creation and improving educational accessibility. Future developments will explore multimedia inputs and advanced user customization features.
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