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Research on Personalized Learning Pattern in Traditional Handicraft Using Augmented Reality: A Case Study of Cantonese Porcelain

  • Yi Ji
  • Peng Tan
  • Henry Been-Lirn Duh
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10902)

Abstract

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.

Keywords

Cantonese Porcelain Teaching Augmented reality Personalized learning pattern Experiential learning 

Notes

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.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Design Arts and DesignGuangdong University of TechnologyGuangzhouChina
  2. 2.Department of Computer Science and Information TechnologyLa Trobe UniversityMelbourneAustralia

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