无需调参的AI助教，能将课件自动转为互动教学流程。
Awaking the Slides: A Tuning-free and Knowledge-regulated AI Tutoring System via Language Model Coordination
- 通过语言模型协调，将课件转化为包含多种教学动作的结构化讲义。
- 在3000场讲座中实现超20万次师生交互，效果优于现有方案。
- 适合教师快速生成个性化互动课程，无须技术背景。
大量现存课件蕴含丰富的教学知识，但因其多模态内容和教学行为异质性，难以有效利用。本文研究如何将课件转化为互动式授课方案。提出Slide2Lecture——一种无需微调、基于知识约束的智能辅导系统，可（1）将输入课件转化为包含多种教学动作的结构化教学议程；（2）生成并管理响应学生需求的互动授课过程，同时确保互动符合预设教学步骤。该系统为学习者提供沉浸式课堂体验，也为教师与开发者提供可定制化支持。人工与学生评估表明其性能优于现有实现。系统上线以来，在3000场讲座中完成超过20万次交互。代码已开源：https://anonymous.4open.science/r/slide2lecture-4210/。
原文摘要 · Abstract (English)
The vast pre-existing slides serve as rich and important materials to carry lecture knowledge. However, effectively leveraging lecture slides to serve students is difficult due to the multi-modal nature of slide content and the heterogeneous teaching actions. We study the problem of discovering effective designs that convert a slide into an interactive lecture. We develop Slide2Lecture, a tuning-free and knowledge-regulated intelligent tutoring system that can (1) effectively convert an input lecture slide into a structured teaching agenda consisting of a set of heterogeneous teaching actions; (2) create and manage an interactive lecture that generates responsive interactions catering to student learning demands while regulating the interactions to follow teaching actions. Slide2Lecture contains a complete pipeline for learners to obtain an interactive classroom experience to learn the slide. For teachers and developers, Slide2Lecture enables customization to cater to personalized demands. The evaluation rated by annotators and students shows that Slide2Lecture is effective in outperforming the remaining implementation. Slide2Lecture's online deployment has made more than 200K interaction with students in the 3K lecture sessions. We open source Slide2Lecture's implementation in https://anonymous.4open.science/r/slide2lecture-4210/.
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