Content area
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.
Details
ERIC Subject
Guidelines;
Literature Reviews;
Educational Resources;
Influence of Technology;
Researchers;
Language Teachers;
Computers;
Learning Experience;
Language Acquisition;
English (Second Language);
Meta Analysis;
Speech;
Second Languages;
Reference Materials;
Goal Orientation;
Databases;
Search Strategies;
Natural Language Processing;
Information Seeking;
Artificial Intelligence;
English Teachers;
Language Processing;
Database Management Systems;
English;
Synthesis
Literature Reviews;
Educational Resources;
Influence of Technology;
Researchers;
Language Teachers;
Computers;
Learning Experience;
Language Acquisition;
English (Second Language);
Meta Analysis;
Speech;
Second Languages;
Reference Materials;
Goal Orientation;
Databases;
Search Strategies;
Natural Language Processing;
Information Seeking;
Artificial Intelligence;
English Teachers;
Language Processing;
Database Management Systems;
English;
Synthesis
Subject
Qualitative research;
Pedagogy;
Language acquisition;
English language;
Chatbots;
English as a second language learning;
English as a second language;
Foreign language learning;
Synthesis;
Teachers;
Data analysis;
Qualitative analysis;
Human-computer interaction;
Artificial intelligence;
Trends;
Computer assisted language learning;
Voice recognition;
Natural language processing;
Language teachers;
Voice;
Property;
Learning;
Teaching;
Intelligence
Pedagogy;
Language acquisition;
English language;
Chatbots;
English as a second language learning;
English as a second language;
Foreign language learning;
Synthesis;
Teachers;
Data analysis;
Qualitative analysis;
Human-computer interaction;
Artificial intelligence;
Trends;
Computer assisted language learning;
Voice recognition;
Natural language processing;
Language teachers;
Voice;
Property;
Learning;
Teaching;
Intelligence
Business indexing term
Identifier / keyword
Research method
Title
The use of artificially intelligent chatbots in English language learning: A systematic meta-synthesis study of articles published between 2010 and 2024
Author
Koç, Fatma Şeyma 1
; Savaş, Perihan 2
1 Akdeniz University, Türkiye [email protected]
2 Middle East Technical University, Türkiye [email protected]
; Savaş, Perihan 2
1 Akdeniz University, Türkiye [email protected]
2 Middle East Technical University, Türkiye [email protected]
Author e-mail address
ReCALL : the Journal of EUROCALL; Cambridge
Volume
37
Issue
1
Pages
4-21
Publication year
2025
Publication date
Jan 2025
Place of publication
Cambridge
Country of publication
United Kingdom
Publication subject
ISSN
09583440
e-ISSN
14740109
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article, Evidence Based Healthcare
Publication history
Online publication date
2024-05-27
Milestone dates
2021-08-14 (Received); 2024-03-27 (Revised); 2024-04-16 (Accepted)
Publication history
First posting date
27 May 2024
ProQuest document ID
3166221495
Document URL
https://www.proquest.com/scholarly-journals/use-artificially-intelligent-chatbots-english/docview/3166221495/se-2?accountid=208611
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of EUROCALL, the European Association for Computer-Assisted Language Learning. This work is licensed under the Creative Commons Attribution License This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-11-07
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