Classroom Utterance Analysis Using a Generative Deep Neural Networks for Dialogue Model
Sakuei Onishi, Tomohiko Yasumori, Hiromitsu Shiina · 2023
As teachers in elementary school classes have limited time for reflection, it becomes crucial to make this process of reflection systematized. Therefore, in this study, we transcribe the utterances into text form during an elementary school mathematics class and analyze the utterances of teachers and children using a dialogue model with a neural network. We here analyze utterance categories and scenes.