  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.
