Robot as a Ventriloquist Doll in a Virtual Situational Learning Environment to Facilitate Learning Through Self-Dialogue

Vando Gusti Al Hakim, Su Hang Yang, Mahesh Liyanawatta, Jen Hang Wang, Yung Han Ku, Yung Yu Zhuang, Gwo Dong Chen

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

2 Scopus citations

Abstract

One of the ways of thinking about how to finish the learning task is through self-dialogue. Doing so enables learners to ask themselves what should they do and evaluate whether it is appropriate from another point of view. However, learners might have difficulties imagining the scenario and interacting with an imaginary person. They may need a scaffolding tool or a person as a partner to practice the self-dialogue. Besides, the ventriloquist phenomenon in education has been noted as beneficial for learning as it could make the learners understands the idea through dialogue. This study proposed a learning approach that allows the learners to use a robot as a ventriloquist doll for practicing self-dialogue and knowledge application to enhance their learning effectiveness. The experiment was conducted by participating 104 undergraduate learners who enrolled in a Japanese Hospitality Management course. The results showed that the approach used a ventriloquist robot to facilitate learning through self-dialogue exhibited significant effects on motivation, anxiety, and better learning outcomes. This study provides a novel area of insight into the use of robots in learning, by integrating digital technology with pedagogical approaches to create an immersive intelligent learning environment and offer a self-dialogue mechanism to foster collaborative learning tasks.

Original languageEnglish
Title of host publicationProceedings - 2022 International Conference on Advanced Learning Technologies, ICALT 2022
EditorsMaiga Chang, Nian-Shing Chen, Mihai Dascalu, Demetrios G Sampson, Ahmed Tlili, Stefan Trausan-Matu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages117-121
Number of pages5
ISBN (Electronic)9781665495196
DOIs
StatePublished - 2022
Event22nd International Conference on Advanced Learning Technologies, ICALT 2022 - Bucharest, Romania
Duration: 1 Jul 20224 Jul 2022

Publication series

NameProceedings - 2022 International Conference on Advanced Learning Technologies, ICALT 2022

Conference

Conference22nd International Conference on Advanced Learning Technologies, ICALT 2022
Country/TerritoryRomania
CityBucharest
Period1/07/224/07/22

Keywords

  • Collaborative Learning
  • Human-Robot Interaction
  • Robot for Learning
  • Scaffolding Tool
  • Self-Dialogue
  • Ventriloquist
  • Virtual Situational Learning Environment

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