Comparing the Taiwanese learning effects of Shaking-On and Kahoot!

Jon Chao Hong, Kai Hsin Tai*, Wan Lun Luo, Yung Ji Sher, Yi Wen Kao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Background: Many gamification applications (apps) have been designed to motivate students to learn particular content. Based on the brain activation approach, the present study adapted an app, named Shaking-On, which requires students to shake their mobile devices to send their answers to multiple-choice questions to the teacher. Students then learn from their performance. Objectives: To understand how this approach can stimulate participants' emotions when achieving their learning goals, the present study compared Shaking-On to Kahoot! by checking participants' gameplay anxiety, learning interest, perceived learning value, and learning achievement while learning the Taiwanese language. Methods: The students were divided into two groups to play with one of the two apps, Shaking-On or Kahoot!, as part of a quasi-experimental study in which they used the assigned app six times in 6 weeks. Moreover, a questionnaire was distributed to participants and 151 useful responses from the Shaking-On group, and 148 from the Kahoot! group were returned. Results and Conclusions: After statistical analysis, the results of this study revealed that besides no difference in gameplay anxiety when comparing the two groups of students, there were significant differences in game interest, flow experience, perceived learning value, and learning achievement, further indicating that Shaking-On with hands-on shaking outperformed Kahoot!.

Original languageEnglish
Pages (from-to)892-905
Number of pages14
JournalJournal of Computer Assisted Learning
Volume38
Issue number3
DOIs
Publication statusPublished - 2022 Jun

Keywords

  • achievement emotion theory
  • gameplay anxiety
  • gamification
  • learning interest
  • native language learning

ASJC Scopus subject areas

  • Education
  • Computer Science Applications

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