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

Koç F. Ş., Savaş P.

ReCALL, vol.37, no.1, pp.4-21, 2024 (AHCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 37 Issue: 1
  • Publication Date: 2024
  • Doi Number: 10.1017/s0958344024000168
  • Journal Name: ReCALL
  • Journal Indexes: Arts and Humanities Citation Index (AHCI), Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, Applied Science & Technology Source, Computer & Applied Sciences, EBSCO Education Source, Educational research abstracts (ERA), ERIC (Education Resources Information Center), INSPEC, Linguistics & Language Behavior Abstracts, MLA - Modern Language Association Database, Psycinfo
  • Page Numbers: pp.4-21
  • Keywords: artificially intelligent agents, English language learning, improving language skills, meta-synthesis, voice-based AI chatbots
  • Middle East Technical University Affiliated: Yes

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.