NDLI: Examining efficient instructional methods for computer-aided brush coating skill training system in elementary and secondary education

Content Provider	Springer Nature Link
Author	Fujimoto, buto Matsumoto, Shimpei Teranishi, Masaru Take, Hidetoshi Tokuyasu, Tatsushi
Copyright Year	2017
Abstract	In recent Japan, many elementary and secondary school children strongly feel an awareness of resistance toward manufacturing class. It is considered as one of the aversion causes to science and engineering. We suspect that the shortage of teacher’s manufacturing experience is related to this background. So, the authors previously have developed a brush coating skill training system with a haptic device to improve the ability. In the skill training, historically, the instruction method while reproducing the video of trainee’s action has been considered to be effective. Thus, our developed system includes a software system to visualize the brush coating motion. This software system can record trainee’s brush coating motion and visualize the data in virtual three-dimensional space, so the advisor and the trainee can share his/her skill level and the wrong motion such as extra shaking and tilt by reproducing his/her past training data on a computer screen. In this paper, to improve the learning effectiveness of our brush coating skill training system, some kinds of instructional methods are designed, and the difference of the instructional methods is analyzed based on the proposed criteria. This paper performed some experiments with 10 college students who have less experience of brush coating. From the analysis results, the most effective instruction method was clarified.
Starting Page	265
Ending Page	275
Page Count	11
File Format	PDF
ISSN	14335298
Journal	Artificial Life and Robotics
Volume Number	22
Issue Number	2
e-ISSN	16147456
Language	English
Publisher	Springer Japan
Publisher Date	2017-02-28
Publisher Place	Tokyo
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Skill training Brush coating Manufacturing class Elementary and secondary education Instructional method Haptic device 3D graphics Artificial Intelligence (incl. Robotics) Computation by Abstract Devices Control, Robotics, Mechatronics
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Biochemistry, Genetics and Molecular Biology

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