- Feasibility of administering chatbot-based speaking assessment for low-level EFL students
-
...lizability and reliability across diverse academic contexts remain unexplored.
Although inter-rater reliability and test score comparability were established, additional studies involving
varied lea...
by Thuy Thi Nguyen, Jungtae Kim
in Volume 29 Number 1, 2025
- Using machine translation to support ESL pre-service teachers’ collaborative feedback for writing
-
...list for assessing writing: B1 preliminary for schools. Cambridge
Assessment English. https://www.cambridgeenglish.org/Images/652769-b1-preliminary-for-schools-
writing-checklist-for-teachers.pdf
Wa...
by Linling Fu, Michelle Mingyue Gu, Tan Jin
in Volume 28 Number 1, 2024
- Multimodal interactive alignment: Language learners’ interaction in CMC tasks through Instagram
-
...lini (2019) explored linguistic
Muntaha Muntaha, Julian Chen, and Toni Dobinson 3
alignment in synchronous video and text chat and found that learners performed structural alignments by...
by Muntaha Muntaha, Julian Chen, Toni Dobinson
in Volume 28 Number 1, 2024
- Uni-, bi-, and multimodal mobile-assisted listening: Differential effects of app mode on EFL listening comprehension and recognition
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...Lingoclip
* *
English Listening
*
English Listening &
Speaking
* *
English Listening
and Speaking/
Moteex
* *
Listening Master
*
...
by Marwa Hafour
in Volume 29 Number 1, 2025
- What does AI bring to second language writing? A systematic review (2014-2024)
-
...literacy in different domains (p. 18). Knoth et al.
(2024) also propose a holistic AI literacy matrix that distinguishes between generic AI literacy, domain-
specific AI literacy, and AI ethics liter...
by Haiying Feng, Kexin Li, Lawrence Jun Zhang
in Volume 29 Number 1, 2025
- Investigating the impact of chatbot design features on affective variables: A mixed-methods study
-
...lization and
measurement. Applied Linguistics Review, 14(2), 223–249. https://doi.org/10.1515/applirev-2020-
0124
Liu, C. C., Liao, M. G., Chang, C. H., & Lin, H. M. (2022). An analysis of children...
by Jang Ho Lee, Hansol Lee, Kyungmin Kim
in Volume 30 Number 1, 2026
- Using a radical-derived character e-learning platform to increase learner knowledge of Chinese characters
-
...li3, rustic), 浬 (li3, nautical mile), 哩 (li3,
mile), 鋰 (li3, a kind of metal), 狸 (li2, fox), 裡 (li3, inside), 娌 (li3, sister-in-law), 理 (li3, reason), and 鯉
(li3, a kind of fish). After learning the s...
by Hsueh-Chih Chen, Chih-Chun Hsu, Li-Yun Chang, Yu-Chi Lin, Kuo-En Chang, Yao-Ting Sung
in Volume 17 Number 1, February 2013 Special Issue on Less Commonly Taught Languages - Language Learning & Technology
- An experimental study of corrective feedback during video-conferencing
-
...licit and explicit knowledge in classroom settings. Erlam and Loewen (2010)
demonstrated that implicit and explicit recasts help develop implicit and explicit knowledge in laboratory
setting. R. Ell...
by Kátia Monteiro
in Volume 18 Number 3, October 2014
- AI as a debate coach: A mixed-methods analysis of student self-efficacy and perceptions in an AI-assisted debate
-
...Liu et al., 2025). While research has begun to explore AI applications in various aspects of language
education, such as writing support and personalized feedback (Liu et al., 2023), its application ...
by Joan Wan-Ting Huang
in Volume 30 Number 1, 2026
- Generative AI, visual scaffolds, and metacognition in EFL writing
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...li, 2025), achieving acceptable intercoder reliability (Cohen's κ = .66).
Reliability statistics for all instruments consistently demonstrated high reliability across measurements, as
shown in Tabl...
by Mei-Rong Alice Chen
in Volume 30 Number 1, 2026
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