TY - GEN
T1 - Research on personalized learning pattern in traditional handicraft using augmented reality
T2 - 20th International Conference on Human-Computer Interaction, HCI 2018
AU - Ji, Yi
AU - Tan, Peng
AU - Duh, Henry Been Lirn
N1 - Funding Information:
Acknowledgments. This research was supported by the 2018 Guangdong College Students cultivate special funds for technological innovation projects, Guangdong University of Technology Youth Hundred Talents Fund under grant No. 220413137. The completion of this study benefited from the tireless efforts of every teacher and classmate in the project team. Special thanks for the technical support given from the research team of Professor Henry Been-Lirn Duh from La Trobe University.
Funding Information:
This research was supported by the 2018 Guangdong College Students cultivate special funds for technological innovation projects, Guangdong University of Technology Youth Hundred Talents Fund under grant No. 220413137. The completion of this study benefited from the tireless efforts of every teacher and classmate in the project team. Special thanks for the technical support given from the research team of Professor Henry Been-Lirn Duh from La Trobe University.
Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2018.
PY - 2018
Y1 - 2018
N2 - Recently, technology-enhanced learning research has increasingly focused on emergent technologies such as augmented reality. Educational researchers of traditional handicraft have used emergent technologies to inject affective and cognitive learning in teaching. However, numerous studies have highlighted content display of traditional handicraft in teaching based on emergent technologies. As far as we know very little work emphasized personalized learning and experience based on augmented reality in traditional handicraft. In order to address these problems, the researchers present an AR-based experiential learning method for traditional handicraft, with the purpose of shifting the pattern of learning from content-centered to experience-centered. Our approach is Augmented Reality-based Personalized Learning Pattern (ARPLP) for traditional handicraft, and it can be divided into four phases. In addition, a case of Cantonese Porcelain is presented to support this pattern in experience interface of application. The results of research produced an experience interface framework of traditional handicraft based on ARPLP, it contributes to the value of augmented reality as well as experiential learning of students for Cantonese Porcelain.
AB - Recently, technology-enhanced learning research has increasingly focused on emergent technologies such as augmented reality. Educational researchers of traditional handicraft have used emergent technologies to inject affective and cognitive learning in teaching. However, numerous studies have highlighted content display of traditional handicraft in teaching based on emergent technologies. As far as we know very little work emphasized personalized learning and experience based on augmented reality in traditional handicraft. In order to address these problems, the researchers present an AR-based experiential learning method for traditional handicraft, with the purpose of shifting the pattern of learning from content-centered to experience-centered. Our approach is Augmented Reality-based Personalized Learning Pattern (ARPLP) for traditional handicraft, and it can be divided into four phases. In addition, a case of Cantonese Porcelain is presented to support this pattern in experience interface of application. The results of research produced an experience interface framework of traditional handicraft based on ARPLP, it contributes to the value of augmented reality as well as experiential learning of students for Cantonese Porcelain.
KW - Augmented reality
KW - Cantonese porcelain
KW - Experiential learning
KW - Personalized learning pattern
KW - Teaching
UR - http://www.scopus.com/inward/record.url?scp=85061549074&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-91244-8_25
DO - 10.1007/978-3-319-91244-8_25
M3 - Conference article published in proceeding or book
AN - SCOPUS:85061549074
SN - 9783319912431
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 304
EP - 316
BT - Human-Computer Interaction. Theories, Methods, and Human Issues - 20th International Conference, HCI International 2018, Proceedings
A2 - Kurosu, Masaaki
PB - Springer Verlag
Y2 - 15 July 2018 through 20 July 2018
ER -