- A review of technology-enhanced Chinese character teaching and learning in a digital context
-
...Zhang, J.-Y., Zhang, T., Xue, F., Liu, L., & Yu, C. (2007). Legibility variations of Chinese characters and
implications for visual acuity measurement in Chinese reading population. Investigative
Op...
by Michael Li
in Volume 27 Number 3, October 2023 Special Issue: Extended Reality (XR) in Language Learning
- Beyond grammar: How ChatGPT-4.0 shapes writing self-efficacy and performance in CSL writing
-
...Zhang (2024) further found that engagement with ChatGPT feedback varied across
behavioral, cognitive, and affective dimensions, shaped by individual differences in proficiency and
technological comp...
by Guan Huang, Huijing Chen
in Volume 30 Number 1, 2026
- AI-generated vs teacher feedback: A comparative study on EFL learners’ public speaking anxiety and oral presentation performance
-
...Zhang et al. 2020). Taking this into consideration, students with public speaking anxiety need structured
support via practice and preparation (Grieve et al., 2021).
As Raja (2017, p. 95) stated, ...
by Hafize Ayaz Yilmaz, Gülay Er
in Volume 30 Number 1, 2026
- Effect of using texting on vocabulary instruction for English learners
-
...Zhang, Song, &
Burston, 2011) or enriched content presentation in text messages (Lin & Yu, 2016). One reported
significantly greater gains in post-tests and not delayed post-tests, again supporting ...
by Jia Li, Jim Cummins
in Volume 23 Number 2, June 2019
- Collaboratively interpreting GenAI output in Chinese as an Additional Language classrooms: Creating an AI-mediated translanguaging space
-
...Zhang & Zhang, 2024) and pays limited attention to how its output is evaluated,
questioned, and reworked in real time.
Meaning-making refers to how understandings are formed and negotiated through ...
by Xinyi Wang, Kevin Wai Hin Tai, Chin-Hsi Lin
in Volume 30 Number 1, 2026
- AI as a debate coach: A mixed-methods analysis of student self-efficacy and perceptions in an AI-assisted debate
-
...Zhang et al.,
2020).
While self-efficacy in individual language skills has been researched, its role in the holistic, high-stakes
performance task of L2 debate remains notably understudied (Liu e...
by Joan Wan-Ting Huang
in Volume 30 Number 1, 2026
- Integrating ChatGPT for vocabulary learning and retention: A classroom-based study of Saudi EFL learners
-
...Zhang & Huang, 2024). Various AI tools have been explored for language learning, but ChatGPT stands
out for its scalability and adaptability. Unlike many purpose-built AI language applications, ChatG...
by Safaa Mahmoud Abdelhalim, Raniya Alsehibany
in Volume 29 Number 1, 2025
- Student use and instructor beliefs: Machine translation in language education
-
...Zhang & Zhang, 2020). This methodological technique
enables researchers to gather information about language learner thought processes during a particular event
(Gass & Mackey, 2016, p. 21) while mi...
by Emily A. Hellmich, Kimberly Vinall
in Volume 27 Number 1, 2023
- Effects of machine translation on L2 writing proficiency: The complexity accuracy, lexical diversity, and fluency
-
...Zhang & Cheng, 2021). Concerning the effectiveness of each type of corrective
feedback, previous studies were more inconclusive. Some have advocated for focused corrective feedback
because it is fri...
by Sangmin-Michelle Lee, Nayeon Kang
in Volume 28 Number 1, 2024
- Review of Automated speaking assessment: Using language technologies to score spontaneous speech
-
...Zhang, Bridgeman, and Davis
suggest that while using automated speech scoring, its context of use should be part of validity evidence.
They state that the context of use includes, but is not limited...
by Yasin Karatay, Leyla Karatay
in Volume 25 Number 1, February 2021 Special Issue: Big Data in Language Education & Research
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