TY - JOUR
T1 - Development of web-based learning materials to support assisting-skill acquisition using 3DCG
AU - Eto, Kaoru
AU - Takase, Hiroshi
AU - Matsuda, Hiroshi
AU - Yamazaki, Atsuko
AU - Yoshida, Hiroko
AU - Ito, Kiyomi
AU - Ogiwara, Chiemi
AU - Saeki, Ikuko
AU - Shimizu, Akihiko
AU - Hiranchiracheep, Suopor
N1 - Publisher Copyright:
© 2018 The Author(s).
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018
Y1 - 2018
N2 - Japan's population is aging rapidly, and the number of people who need caregivers is expected to increase dramatically. Establishing a method of educating the human resources who will meet this need is an urgent task. In this study, we visualized the differences between expert and novice caregiver behaviors and considered how to bring them to the attention of learnerS. We used three-dimensional computer graphics (3DCG) images of caregivers to develop web-based learning materials to support the learning of applied nursing skillS. We then had the materials evaluated by nursing/caregiving professionals to confirm their effectiveness in teaching those skillS.
AB - Japan's population is aging rapidly, and the number of people who need caregivers is expected to increase dramatically. Establishing a method of educating the human resources who will meet this need is an urgent task. In this study, we visualized the differences between expert and novice caregiver behaviors and considered how to bring them to the attention of learnerS. We used three-dimensional computer graphics (3DCG) images of caregivers to develop web-based learning materials to support the learning of applied nursing skillS. We then had the materials evaluated by nursing/caregiving professionals to confirm their effectiveness in teaching those skillS.
KW - 3DCG images
KW - assisting-skill acquisition
KW - visualization
KW - web-based learning materials
UR - http://www.scopus.com/inward/record.url?scp=85056660049&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85056660049&partnerID=8YFLogxK
U2 - 10.1016/j.procS.2018.08.106
DO - 10.1016/j.procS.2018.08.106
M3 - Conference article
AN - SCOPUS:85056660049
SN - 1877-0509
VL - 126
SP - 1710
EP - 1719
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2018
Y2 - 3 September 2018 through 5 September 2018
ER -