- Extended reality (XR) in language learning: Developments and directions
-
...listic and
lifelike, and that it evoked feelings of discomfort and intensity; this prompted them to engage in mediation,
putting newly learned skills into practice in the post-task. Unlike more trad...
by Mark Pegrum, Yu-Ju Lan
in Volume 27 Number 3, October 2023 Special Issue: Extended Reality (XR) in Language Learning
- Genre-based AWE system for engineering graduate writing: Development and evaluation
-
...Li et al., 2015; Li et
al., 2017; Liao, 2016; Link et al., 2014; Link et al., 2020; Liu & Kunnan, 2016; Ranalli, 2018; Ranalli &
Yamashita, 2019; Wang, 2015; Wilson & Czik, 2016; Zhang, 2020; Zhang ...
by Hui-Hsien Feng, Evgeny Chukharev-Hudilainen
in Volume 26 Number 2, June 2022 Special Issue: Automated Writing Evaluation
- Generative AI and metaverse in developing pre-service teachers’ content knowledge
-
...links technological tools, pedagogical approaches, and
disciplinary content, and the Synthesis of Qualitative Evidence (SQD) model offers empirically validated
strategies such as modelling, collabor...
by Seongyong Lee, Jaeho Jeon
in Volume 30 Number 1, 2026
- 2013 Reviewer Acknowledgements
-
...Li
Meei-Ling Liaw
Tsun-Ju Lin
Huifen Lin
Chin-Hsi Lin
Hsien-Chin Liou
Min Liu
Gillian Lord
Andreas Lund
Peter Macintyre
David Malinowski
Rob Martinsen
Richard McCallum
Levi McNeil
Kara M...
in Volume 18 Number 1, February 2014
- Effects of mobile-assisted language learning on foreign language learners’ speaking skill development
-
...lish secondary 40 (20/20) 4
10 Ko & Lim (2022) Korean FL English secondary 107 (56/51) 4
11 Lan & Lin (2016) Thai FL Chinese tertiary 34 (18/16) 4
12 Liakin et al. (2017) English L2 French tertiary...
by Rui Li
in Volume 28 Number 1, 2024
- Multinational telecollaboration in language teacher education: Teacher educators’ perspectives
-
...lish, I paid
attention to how the US students used
English forms, especially less formal
formulaic expressions” (Aleksandra)
Future plans Normalization of telecollaboration “Normalization of tele...
by Aleksandra Wach, Shannon Tanghe, De Zhang
in Volume 28 Number 1, 2024
- Students' responses to computer-mediated coded feedback and the factors influencing those students' responses: A multiple-case study in the CFL setting
-
...litating students’ development of grammatical knowledge and error correction (Sauro,
2009; Shintani, 2015). However, the true potential of LMS applications in WCF lies in their ability to
enhance fe...
by Jining Han
in Volume 28 Number 1, 2024
- AI literacy in L2 writing and its association with L2 writing engagement
-
...lidity and measurement invariance, reliability (Cronbach’s
alpha > 0.7), convergent validity (AVE, average variance extracted > 0.5, CR, composite reliability >
0.7), and discriminant validity (the ...
by Chenxi Du, Yingli Yang
in Volume 30 Number 1, 2026
- Dynamicity of EFL learners’ emotions and WTC in Human-AI interactions
-
...like a
smart tutor. … But I didn’t see much value in its replies. I started feeling like I was wasting my time”.
Similarly, George, who also perceived Replika as a tool, became increasingly disengag...
by Qian Cheng, Xiuwen Chen, Yiyang Luo, Hao Wang
in Volume 30 Number 2, Special Issue: Emotional CALL
- AI-generated vs teacher feedback: A comparative study on EFL learners’ public speaking anxiety and oral presentation performance
-
...lities of
automated speech analysis tools like Yoodli AI. The previous applications of the rubric in educational
contexts further enhance its validity and reliability as an assessment tool for EFL l...
by Hafize Ayaz Yilmaz, Gülay Er
in Volume 30 Number 1, 2026
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