It is the collaborative process when language learners work together to clarify and address communication failures during exchanges. NfM commonly happens in language learning situations when learners come across novel terminology or grammatical structures and ask for clarification from their conversation partners, whether they be human or AI-driven chatbots.
Published in Chapter:
The Use of Chatbot Technology in EFL Learning: A Systematic Analysis of Research Conducted Between 2020-2023
Gülin Zeybek (Isparta University of Applied Sciences, Turkey)
Copyright: © 2024
|Pages: 17
DOI: 10.4018/979-8-3693-1830-0.ch016
Abstract
This study thoroughly analyses the incorporation of chatbots in English as a Foreign Language (EFL) education by examining 11 research studies carried out from 2020 to 2023. The review carefully combines findings, techniques, and consequences to offer a detailed overview of the complex field of chatbot-mediated language learning treatments. From quasi-experimental designs to qualitative explorations, the evaluated research uses a range of approaches to study various characteristics such as learning attainment, effectiveness, motivation, attitudes, perceptions, cognition, learning styles, and user experience. The results show how adaptable chatbot technology is in supporting task-oriented learning, vocabulary development, conversational practice, and pedagogical support, providing individualized and interesting language learning opportunities. Additionally, the contextual complexities present in chatbot interventions are emphasised, highlighting the significance of taking learner demographics, educational situations, and cultural backgrounds into account.