TY - GEN
T1 - Learning Effects in Programming Learning Using Python and Raspberry Pi
T2 - 2019 IEEE International Conference on Engineering, Technology and Education, TALE 2019
AU - Saito, Daisuke
AU - Washizaki, Hironori
AU - Fukazawa, Yoshiaki
AU - Yoshida, Tetusya
AU - Kaneko, Isumu
AU - Kamo, Hirotaka
N1 - Funding Information:
ACKNOWLEDGEMENTS This research was conducted with the support of the Communications Program to Promote IoT Learning in Communities Community ICT Club of the Ministry of Internal Affairs in Japan. We also thank D2C Inc for their cooperation. Furthermore, we acknowledge the partners of Otaku at Tokyo, and Sayama-shi at Saitama.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - Assessing children's learning in programming learning is important because the skills that children gain through programming learning are unknown. Additionally, the obtained learning effects should be analyzed and visualized. Herein we design and evaluate a programming learning course for elementary school students that uses Python and Raspberry Pi as a case study to investigate whether the learning effect in programming learning can be evaluated. The learning effect for 19 elementary school students in Japan participating in the course is evaluated using a rubric. The course improved the children's problem-solving ability, demonstrating that the learning effect in programming learning can be evaluated. As the results should be useful for future course design, this study is reported as a case study.
AB - Assessing children's learning in programming learning is important because the skills that children gain through programming learning are unknown. Additionally, the obtained learning effects should be analyzed and visualized. Herein we design and evaluate a programming learning course for elementary school students that uses Python and Raspberry Pi as a case study to investigate whether the learning effect in programming learning can be evaluated. The learning effect for 19 elementary school students in Japan participating in the course is evaluated using a rubric. The course improved the children's problem-solving ability, demonstrating that the learning effect in programming learning can be evaluated. As the results should be useful for future course design, this study is reported as a case study.
KW - Python
KW - Raspberry Pi
KW - learning evaluation
KW - programming education
UR - http://www.scopus.com/inward/record.url?scp=85096610365&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85096610365&partnerID=8YFLogxK
U2 - 10.1109/TALE48000.2019.9225866
DO - 10.1109/TALE48000.2019.9225866
M3 - Conference contribution
AN - SCOPUS:85096610365
T3 - TALE 2019 - 2019 IEEE International Conference on Engineering, Technology and Education
BT - TALE 2019 - 2019 IEEE International Conference on Engineering, Technology and Education
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 8 April 2019 through 11 April 2019
ER -