Abstract
We propose a system that allows university teachers to check the teaching behaviors in their lecture videos and to grasp teaching behaviors for improvement in the lectures. The system offers two functions: time-series graphing, which visualizes real-time changes in students' evaluation during a lecture, and teaching-behavior estimation, which shows teachers information on their own teaching behaviors estimated from the overall evaluation by students of a lecture. The system was developed and evaluation experiments of each function were conducted. The subjective evaluation of each function by teachers showed the following: (1) the time series graph function was useful to narrow down which portion of the lecture videos contained teaching behaviors for improvement and (2) the teaching behavior estimation function was useful to determine the tendency of teaching behavior in a lecture.