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

被引：7

作者：

Koc, Fatma Seyma ^{[1
]}

Savas, Perihan ^{[2
]}

机构：

[1] Akdeniz Univ, Antalya, Turkiye

[2] Middle East Tech Univ, Ankara, Turkiye

来源：

RECALL | 2025年 / 37卷 / 01期

关键词：

English language learning; voice-based AI chatbots; artificially intelligent agents; improving language skills; meta-synthesis; LEARNERS WILLINGNESS; PERSONAL ASSISTANTS; L2; SPEAKING; AGENT; MODEL;

D O I：

10.1017/S0958344024000168

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

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.

引用

页码：4 / 21

页数：18

共 86 条

[1]

Annamalai N., 2023, COMPUTERS ED ARTIFIC, V5, P100148, DOI 10.1016/j.caeai.2023.100148

[2] Toward Personalized Scaffolding and Fading of Motivational Support in L2 Learner-Dialogue Agent Interactions: An Exploratory Study [J].