Cited by 69English Language Learning and TeachingEFL/ESL Teaching and LearningArtificial Intelligence in Education

The use of artificially intelligent chatbots in English language learning: A systematic meta-synthesis study of articles published between 2010 and 2024

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Koç, Fatma Şeyma, Savaş, Perihan·2025·ReCALL

Abstract

In this qualitative systematic meta-synthesis study, 57 studies from the international literature published between 2010 and 2024 on the use of voice-based artificially intelligent chatbots in English language learning were analyzed. The present study aimed to explore the most recent studies on this topic by investigating the theoretical frameworks, methodological and technological properties, user reports of chatbot usage experience, and pedagogical implementations. It sought to identify research and implementation trends for voice-based chatbots via qualitative data analysis methods. Based on the reviewed studies, this paper presents data-based pedagogical implications that align with the latest voice-based AI chatbot research trends.

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Cited by

Sorted by citations

Authors
Koç, F. Ş., & Savaş, P.
Affiliations
  • Akdeniz University (TR)
  • Middle East Technical University (TR)
Venue
ReCALL
Published
2024-05-27
Volume
37
Issue
1
Pages
4-21
ISSN
  • 0958-3440 (ISSN-L)
  • 1474-0109
OpenAlex
W4399054209
Cited by
69
References
12
Citations by year
2026: 39 · 2025: 27 · 2024: 3
FWCI
26.02
Type
journal article
Language
en
Open access
Locations
  • ReCALL (publishedVersion, cc-by)
  • OpenMETU (Middle East Technical University) (submittedVersion, cc-by-nc-nd)
Topics
  • Physical Sciences › Computer Science › Information Systems › English Language Learning and Teaching
  • Social Sciences › Arts and Humanities › Language and Linguistics › EFL/ESL Teaching and Learning
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
Keywords
chatbots, artificial intelligence in education, English language learning, speech-based interaction, research trends, theoretical framework

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