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Showing 11 - 20 results of 35 for Jeon

Moving from off-the-shelf chatbots to a user-designed bespoke L2 chatbot
...Jeon, 2022) for this purpose. A major strength of chatbots developed via such platforms is that they could be designed to perform a specific L2 task (e.g., making an appointment with foreign friends...

by Dongkwang Shin, Jang Ho Lee
in Volume 28 Number 1, 2024

Students’ emotions and cognitive loads in chatbot-versus peer-supported reading
...Jeon and Lee’s (2024) systematic review of 11 comparison research published before March 2023 indicated that interaction with chatbots provides benefits comparable to those afforded by human-human i...

by Xiaotian Guan, Yanfang Su, Tan Jin, Chun Lai, Yuanke Li
in Volume 30 Number 2, Special Issue: Emotional CALL

Integrating chatbot technology in language teacher education: A TPACK-based analysis of pre-service teachers’ professional development
...Jeon, 2024). This gap is particularly significant given the rapid advancement of AI technologies and their potential impact on language teaching practices. The present study addresses this gap by ex...

by Lee Jin Choi, Rakhun Kim, Sun Joo Chung
in Volume 29 Number 1, 2025

Beyond borders and screens in China: L2 motivation, digital literacy, and virtual intercultural experience in GenAI-mediated informal digital learning of English
...Jeon, 2022). It encompasses three components: (1) autonomy (i.e., the necessity for people to experience a sense of agency in their actions and choices), (2) competence (i.e., the aspiration to atta...

by Minlin Zou, Meiqi Li, Xueyun He
in Volume 30 Number 1, 2026

Pragmatic feedback on refusals in a computer-simulated advising session
...Jeon & Kaya, 2006; Plonsky & Zhuang, 2019; Rose, 2005; Taguchi, 2015). In the earliest of these reviews, Rose (2005) categorized instructed pragmatics studies according to three design features: lac...

by Paul Richards
in Volume 28 Number 1, 2024

L2 pragmatics and CALL
...Jeon & Kaya, 2006; Plonsky & Zhuang, 2019; Taguchi, 2015), as well as several volumes including research on the instruction of L2 pragmatics (e.g., Taguchi & Roever, 2017), the teaching of L2 pragma...

by Marta González-Lloret
in Volume 25 Number 3, October 2021 Special Issue: 25 Years of Emerging Technology in CALL

Effects of learner uptake following automatic corrective recast from Artificial Intelligence chatbots on the learning of English caused-motion construction
...Jeon, 2021). 2. This study follows ethical guidelines to ensure the protection of the participants under the age of 19. Participation was completely voluntary, and participants were guaranteed that ...

by Rakhun Kim
in Volume 28 Number 2, June 2024 Special Issue: Artificial Intelligence for Language Learning

Learning to express gratitude in Mandarin Chinese through web-based instruction
...Jeon & Kaya, 2006). In view of the various resources that technology can provide, recent efforts have been directed toward exploring the role of technology in the instruction of ILP competence. Pre...

by Li Yang
in Volume 20 Number 1, February 2016

A systematic review of research on AI in language education: Current status and future implications
...Jeon, 2023), indicating the potential of AI technologies (for example, ASR) to enhance speaking skills. However, there is a notable lack of research that focuses on areas such as reading, translati...

by Meina Zhu, Chaoran Wang
in Volume 29 Number 1, 2025

The AI chatbot interaction for semantic learning: A collaborative note-taking approach with EFL students
...Jeon et al., 2023). Moreover, they combine a variety of learning resources and strategies to provide a dynamic and engaging platform for language learning (Novawan et al., 2024). Considering the pot...

by Mei-Rong Alice Chen
in Volume 28 Number 1, 2024