TY - GEN
T1 - Assessment Map for Multidisciplinary Abilities for IoT System Development Education based on a Robot Contest
AU - Watanabe, Harumi
AU - Sato, Mikiko
AU - Miwa, Masafumi
AU - Imamura, Makoto
AU - Hosoai, Shintaro
AU - Ogura, Nobuhiko
AU - Nakamura, Hiroyuki
AU - Hisazumi, Kenji
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2019/1/16
Y1 - 2019/1/16
N2 - This paper contributes to evaluation methods to learn the Internet of Things (IoT) system based on embedded software development. In the industry, different fields' engineers have much discussion, since they need to cover the broad knowledge for building one IoT system. The engineers need to have multidisciplinary abilities to collaborate in different fields. For learning such abilities, we should provide opportunities for students from different fields to work collaboratively. For the last 15 years, we have been organizing an education of a robot contest for learning IoT. One goal of this contest is to educate on multidisciplinary abilities. However, the contribution of this program has not been clarified. In a recent work, we briefly introduced an assessment map of multidisciplinary abilities based on the experiences acquired through the education. The map consists of (1) integration ability, (2) performing ability, and (3) cross-understanding ability. The novelty of this work is the evaluation of the education curriculum gained from the contests and its introductory seminars via the assessment map. This paper illustrates the map and evaluates the introductory seminar of the contest.
AB - This paper contributes to evaluation methods to learn the Internet of Things (IoT) system based on embedded software development. In the industry, different fields' engineers have much discussion, since they need to cover the broad knowledge for building one IoT system. The engineers need to have multidisciplinary abilities to collaborate in different fields. For learning such abilities, we should provide opportunities for students from different fields to work collaboratively. For the last 15 years, we have been organizing an education of a robot contest for learning IoT. One goal of this contest is to educate on multidisciplinary abilities. However, the contribution of this program has not been clarified. In a recent work, we briefly introduced an assessment map of multidisciplinary abilities based on the experiences acquired through the education. The map consists of (1) integration ability, (2) performing ability, and (3) cross-understanding ability. The novelty of this work is the evaluation of the education curriculum gained from the contests and its introductory seminars via the assessment map. This paper illustrates the map and evaluates the introductory seminar of the contest.
KW - education program
KW - embedded system
KW - IoT
KW - Robot contest
UR - http://www.scopus.com/inward/record.url?scp=85062085065&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85062085065&partnerID=8YFLogxK
U2 - 10.1109/TALE.2018.8615388
DO - 10.1109/TALE.2018.8615388
M3 - Conference contribution
AN - SCOPUS:85062085065
T3 - Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018
SP - 995
EP - 1000
BT - Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018
A2 - Lee, Mark J.W.
A2 - Nikolic, Sasha
A2 - Wong, Gary K.W.
A2 - Shen, Jun
A2 - Ros, Montserrat
A2 - Lei, Leon C. U.
A2 - Venkatarayalu, Neelakantam
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018
Y2 - 4 December 2018 through 7 December 2018
ER -