Creation and Usability Evaluating of E-Learning Contents for Automobile Repair Block Painting

Abstract

Due to the fact that paintwork in the automobile repair industry requires individual correspondence, work by human hands is indispensable. Although the skills of expert engineers have a great influence on the finish, learning these skills require a lot of experience and time. In Japan, the number of young people in the automobile mechanic and automobile repair industry is drastically decreasing due to the declining birthrates, the trend of young people turning away from driving cars, and the diversification of occupation options. Moreover, the aging of the mechanics and repair technicians has been progressing, and the average age of the mechanics and repair technicians remaining in this industry has been increasing every year. In the near future, there is a high possibility that the shortage of human resources supporting this industry will become apparent. In this study, we aimed to construct a self-study support system for young engineers engaged in automobile repair painting to support skill acquisition, using e-learning teaching materials utilizing motion analysis data on block painting by solid paint done by experienced engineers. Furthermore, the usability of the teaching materials was clarified from the viewers’ characteristics obtained by publishing the teaching materials. The e-learning teaching materials which secured a certain number of repeaters had a possibility to be effective teaching material. At the same time, several tasks such as the shortening of playback time of the teaching material time were also highlighted.

Authors and Affiliations

Shigeru Ikemoto, Yuka Takai, Hiroyuki Hamada, Noriaki Kuwahara

Keywords

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  • EP ID EP259127
  • DOI 10.14569/IJACSA.2017.081243
  • Views 68
  • Downloads 0

How To Cite

Shigeru Ikemoto, Yuka Takai, Hiroyuki Hamada, Noriaki Kuwahara (2017). Creation and Usability Evaluating of E-Learning Contents for Automobile Repair Block Painting. International Journal of Advanced Computer Science & Applications, 8(12), 333-337. https://europub.co.uk/articles/-A-259127