The results of separate investigations are combined using suitable techniques such narrative synthesis, meta-analysis (where relevant), or theme analysis. Data synthesis entails condensing important discoveries, investigating patterns and connections, and pinpointing overarching themes or trends found in several investigations.
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.