Video Feedback System for Teaching Improvement Using Student Sequential and Overall Teaching Evaluations

• KOMETANI Yusuke

  Graduate School of Engineering, Tokyo University of Science

• TOMOTO Takahito

  Faculty of Engineering, Tokyo University of Science

• TONOMURA Takashi

  Graduate School of Engineering, Tokyo University of Science:(Present office)NTT Comware Corp.

• FURUTA Takehiro

  Nara University of Education

• AKAKURA Takako

  Faculty of Engineering, Tokyo University of Science

Abstract

We propose a system that allows university instructors to check teaching behaviors in their lecture videos for lecture improvement. The system offers two functions: time-series graphing, which visualizes real-time changes in student evaluations during a lecture, and teaching behavior prediction, which shows instructors information on their own teaching behavior as predicted from student evaluations. We develop the system and conduct experiments to evaluate its functions. Subjective instructor evaluations of each function indicate that (1) the graphing function was useful for identifying portions of lecture videos containing teaching behaviors needing improvement, and (2) that the prediction function was useful for determining teaching behavior tendencies during lectures.

Journal

• Educational technology research

  Educational technology research 37 (1-2), 73-85, 2014

  Japan Society for Educational Technology

Keywords

• Sequential evaluation
• overall evaluation
• teaching improvement
• lecture video
• teaching behavior
• student evaluation

Details

• CRID: 1390001205219553408
• NII Article ID: 110009885259
• DOI: 10.15077/etr.kj00009649887
• ISSN: 21897751
• ISSN: 03877434
• Text Lang: en
• Data Source:
  • JaLC
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed