Motivating Students with Different Needs to Learn Chinese in a Mixed-Background Classroom by Robot-Assisted Learning

  • Ka Yan Fung (Corresponding Author)
  • , Kwong Chiu Fung
  • , Tze Leung Rick Lui
  • , Kuen Fung Sin (Corresponding Author)
  • , Lik Hang Lee
  • , Huamin Qu
  • , Shenghui Song (Corresponding Author)

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Mastering the visually complex characters of the Chinese language poses significant challenges for students. The situation is even worse in Hong Kong, where students with different backgrounds, including students with/without dyslexia and non-Chinese speaking (NCS) students, are placed in the same class. Interactive design has been proven effective in enhancing students' learning performance and engagement. However, developing a learning tool for students with diverse backgrounds is challenging. This study proposes a robot-assisted Chinese learning system (RACLS) for those with diverse backgrounds and investigates its impact on learning motivation by a comparison study. In particular, 39 students participate in a five-day robot-led training program, while another 39 students received traditional teacher-led training. The comparison results show that RACLS can enhance the emotional engagement of students with dyslexia and strengthen the behavioral engagement of students without dyslexia. Interestingly, the learning motivation of NCS students in the experimental and control groups is enhanced similarly.

Original languageEnglish
Pages (from-to)369-386
Number of pages18
JournalIEEE Transactions on Learning Technologies
Volume18
DOIs
Publication statusPublished - 14 Mar 2025

Keywords

  • Attention
  • cognitive load theory (CLT)
  • confidence
  • dyslexia
  • learning engagement
  • learning motivation
  • non-Chinese speaking (NCS) students
  • relevance
  • robot-assisted language learning (RALL)
  • satisfaction (ARCS) model
  • self-determine theory (SDT)
  • universal design for learning (UDL)

ASJC Scopus subject areas

  • Education
  • General Engineering
  • Computer Science Applications

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