Video feedback system for teaching improvement using students' sequential and overall teaching evaluations

Yusuke Kometani, Takahito Tomoto, Takehiro Furuta, Takako Akakura

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages79-88
Number of pages10
Volume8018 LNCS
EditionPART 3
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event15th International Conference on Human Interface and the Management of Information: Information and Interaction for Learning, Culture, Collaboration and Business, HCI 2013 - Las Vegas, NV, United States
Duration: 2013 Jul 21 → 2013 Jul 26

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume8018 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other15th International Conference on Human Interface and the Management of Information: Information and Interaction for Learning, Culture, Collaboration and Business, HCI 2013
CountryUnited States
CityLas Vegas, NV
Period13/7/21 → 13/7/26

Keywords

  • Lecture video
  • Overall evaluation
  • Sequential evaluation
  • Student evaluation
  • Teaching behavior
  • Teaching improvement

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 3 ed., Vol. 8018 LNCS, pp. 79-88). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8018 LNCS, No. PART 3). https://doi.org/10.1007/978-3-642-39226-9_10