Effect of chatbot‑assisted language learning: A meta‑analysis

Shunan Zhang, Cheng Shan, John Sie Yuen Lee, ShaoPeng Che, Jang Hyun Kim*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

43 Citations (Scopus)

Abstract

Chatbots have shown great potential for language learning. However, previous studies have reported mixed results on the efficiency of chatbot-assisted language learning (CALL). This study integrated the results of previous experimental studies on CALL by using meta-analysis to explore its effectiveness. A total of 61 samples from 18 studies were examined. The results showed that CALL had a moderate average effect (g = .527). In addition, nine potential moderating variables (educational level, target language, language domain, learning outcome, instruction duration, chatbot interface, chatbot development, task dominance, and interaction way) were identified and discussed. The results of this study provided insights into the use and design of chatbots for language learning.

© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023
Original languageEnglish
Pages (from-to)15223–15243
JournalEducation and Information Technologies
Volume28
Issue number11
Online published26 Apr 2023
DOIs
Publication statusPublished - Nov 2023

Research Keywords

  • Chatbots
  • Language Learning
  • Meta-analysis

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