Abstract
We propose a system that allows university teachers to check the effectiveness of their lecture videos and to grasp points 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 points for improvement and (2) the teaching behavior estimation function was useful to determine the tendency of teaching behavior in a lecture.
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Kometani, Y., Tomoto, T., Furuta, T., Akakura, T. (2013). Video Feedback System for Teaching Improvement Using Students’ Sequential and Overall Teaching Evaluations. In: Yamamoto, S. (eds) Human Interface and the Management of Information. Information and Interaction for Learning, Culture, Collaboration and Business,. HIMI 2013. Lecture Notes in Computer Science, vol 8018. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39226-9_10
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DOI: https://doi.org/10.1007/978-3-642-39226-9_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39225-2
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