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JRM Vol.31 No.3 pp. 427-433
doi: 10.20965/jrm.2019.p0427
(2019)

Paper:

Evaluation for Task Achievement of Robotics Programming Based on Image Information

Yoshihiro Ohnishi*, Shogo Takechi*, Teruyuki Tamai*, Shinnosuke Mori*, and Kazuo Kawada**

*Faculty of Education, Ehime University
3 Bunkyo-cho, Matsuyama, Ehime 790-8577, Japan

**Hiroshima University
1-1-1 Kagamiyama, Higashi-hiroshima, Hiroshima 739-8524, Japan

Received:
January 7, 2019
Accepted:
April 10, 2019
Published:
June 20, 2019
Keywords:
programming learning, junior high school, technology education, achievement evaluation
Abstract
Evaluation for Task Achievement of Robotics Programming Based on Image Information

The moving of the robot was analyzed on SCILAB by the 100 JPEG photos

It is difficult to make an evaluation based solely on whether programming has been achieved. However, appropriate evaluation according to the achievement level leads to learners’ subjective programming learning, and to learning support that corresponds to individuals. Therefore, the quantitative evaluation of programming learning is as important as teaching and educational methods. Since programming education is being introduced to elementary and junior high schools, a programming evaluation method for this age is necessary. Therefore, this paper proposes a new concept of quantitatively evaluating the degree of achievement of tasks by programming. It assumes a unit in junior high school technology classes for learning measurement control, and uses teaching materials that have an autonomous cleaning robot as a theme. It is aimed at quantitatively evaluating the degree of accomplishment of a task by evaluating the extent to which the robot ran in a field, as seen in the room from a still picture taken multiple times.

Cite this article as:
Y. Ohnishi, S. Takechi, T. Tamai, S. Mori, and K. Kawada, “Evaluation for Task Achievement of Robotics Programming Based on Image Information,” J. Robot. Mechatron., Vol.31, No.3, pp. 427-433, 2019.
Data files:
References
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Last updated on Sep. 19, 2019