This paper proposes a system that uses large language models to provide immediate feedback to students in flipped classroom preparation learning. This study aimed to solve challenges in the flipped classroom model, such as ensuring that students are emotionally engaged and motivated to learn. Students often have questions about the content of lecture videos in the preparation of flipped classrooms, but it is difficult for teachers to answer them immediately. The proposed system was developed using the ChatGPT API on a video-watching support system for preparation learning that is being used in real practice. Answers from ChatGPT often do not align with the context of the student's question. Therefore, this paper also proposes a method to align the answer with the context. This paper also proposes a method to collect the teacher's answers to the students' questions and use them as additional guides for the students. This paper discusses the design and implementation of the proposed system.

翻译：本文提出一种利用大语言模型为翻转课堂课前学习提供即时反馈的系统。本研究旨在解决翻转课堂模式中的挑战，例如确保学生在情感上投入并保持学习动力。在翻转课堂的课前准备中，学生常对教学视频内容存在疑问，但教师难以即时解答。该系统基于实践中使用的视频观看支持系统，通过ChatGPT API构建。由于ChatGPT的答案常与学生问题的语境不符，本文还提出了一种使答案与语境对齐的方法。此外，本文提出了一种收集教师对学生问题的答案并将其作为额外指导提供给学生的方法。最后，本文讨论了该系统的设计与实现。