Design a Robot as a Double with Micro-expression to Participate in a Virtual Situational Learning Environment and its Effect on Students' Learning Performance

Vando Gusti Al Hakim, Su Hang Yang, Jen Hang Wang, Yi Jing Li, Yi Hsin Chen, Gwo Dong Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

One way to encourage students to keep on practicing and studying learning materials is to let them be aware of how they will perform if they are placed in the situational evaluation. Thus, there should be a mechanism to act as a double that can be trained and revised by students so they can watch, monitor, and learn their own performances. Besides, emotional intelligence has gained a lot of attention due to its potential in maintaining situational interactions. Such a skill can detect the micro-expression to grasp the true feelings and hence students can take the appropriate responses. Therefore, this study proposes a learning approach, where students can collaboratively design the robot as their double with micro-expression to participate in situational evaluation tests. To evaluate the effectiveness of the proposed approach, a quasi-experiment was conducted with 90 undergraduate students who enrolled in a Hospitality Japanese course in Taiwan. Three classes were assigned randomly with different learning approaches. The experiment results indicated that the groups with a robot as a double showed significant positive effects in terms of learning motivation and anxiety. Furthermore, a group of students using a double robot with micro-expression exhibited better learning achievement, but their anxiety was also increased. Finally, the limitations of the study and some suggestions for improvement of this proposed approach are provided.

Original languageEnglish
Title of host publication30th International Conference on Computers in Education Conference, ICCE 2022 - Proceedings
EditorsSridhar Iyer, Ju-Ling Shih, Ju-Ling Shih, Weiqin Chen, Weiqin Chen, Mas Nida MD Khambari, Mouna Denden, Rwitajit Majumbar, Liliana Cuesta Medina, Shitanshu Mishra, Sahana Murthy, Patcharin Panjaburee, Daner Sun
PublisherAsia-Pacific Society for Computers in Education
Pages467-476
Number of pages10
ISBN (Electronic)9789869721493
StatePublished - 28 Nov 2022
Event30th International Conference on Computers in Education Conference, ICCE 2022 - Kuala Lumpur, Malaysia
Duration: 28 Nov 20222 Dec 2022

Publication series

Name30th International Conference on Computers in Education Conference, ICCE 2022 - Proceedings
Volume1

Conference

Conference30th International Conference on Computers in Education Conference, ICCE 2022
Country/TerritoryMalaysia
CityKuala Lumpur
Period28/11/222/12/22

Keywords

  • AI and Robots in Education
  • Collaborative Learning
  • Double
  • Emotional Intelligence
  • Human-Robot Interaction
  • Micro-expression
  • Robots for Learning
  • Scaffolding Tool
  • Situated Learning
  • Virtual Situational Learning Environment

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