- Type and amount of input-based practice in CALI: The revelations of a triangulated research design
-
...Cheng & Hsu, 2011). Third, differences in amount of practice, as suggested
earlier, may not be solely responsible for the conflicting findings between the two studies compared here
(and the remainin...
by Luis Cerezo
in Volume 20 Number 1, February 2016
- Visual reinforcement through digital zoom technology in FL pronunciation instruction
-
...Cheng & Chen, 2022; Sung et al., 2017).
Conclusion
This study has compared FL segmental pronunciation instruction supported by a VRT strategy via digital
zoom technology with traditional instructi...
by Siqi Wang, Jian Li, Qian Liang
in Volume 28 Number 1, 2024
- Augmented reality technology in language learning: A meta-analysis
-
...Cheng, G., & Xie, H. (2021). A systematic review of AR and VR enhanced language
learning. Sustainability, 13(9), 1–28. https://doi.org/10.3390/su13094639
Hung, H., & Yeh, H. (2023). Augmented‐real...
by Juan Wu, Huiting Jiang, Shiya Chen
in Volume 28 Number 1, 2024
- Using an AI-powered chatbot for improving L2 Korean grammar: A comparison between proficiency levels and task types
-
...Cheng, G. (2023). A review of chatbot-assisted learning: Pedagogical approaches,
implementations, factors leading to effectiveness, theories, and future directions. Interactive
Learning Environments...
by Ji-young Shin, Yujeong Choi
in Volume 29 Number 2, February 2025 Special Issue: Indigenous Languages and Less Commonly Taught Languages (LCTLs) with Technology
- Data-Informed language learning
-
...chEngine, is available. Several recent studies feature use of SketchEngine (e.g.,
Frankenberg-Garcia, 2014; Gablasova et al., 2017). A popular free concordancer, often used in language
learning proj...
by Robert Godwin-Jones
in Volume 21 Number 3, October 2017 Special Issue on Corpora in Language Learning and Teaching
- Automated written corrective feedback: Error-correction performance and timing of delivery
-
...Cheng, 2008; Dikli, 2010). These tools deliver feedback asynchronously, allow access only through
standalone web interfaces, and attempt to address both grammatical errors and higher-level issues (e....
by Jim Ranalli, Taichi Yamashita
in Volume 26 Number 1, 2022
- L2 learners’ engagement with automated feedback: An eye-tracking study
-
...Cheng, 2008; Lavolette et al., 2015; Zhang, 2020), largely due to the nature of automated feedback which
mainly indicates surface-level errors (Stevenson, 2016). Research on revision quality has show...
by Sha Liu, Guoxing Yu
in Volume 26 Number 2, June 2022 Special Issue: Automated Writing Evaluation
- Direct and indirect access to corpora: An exploratory case study comparing students’ error correction and learning strategy use in L2 writing
-
...Cheng, Warren, & Xun-feng, 2003; Kennedy & Miceli, 2001; O’Sullivan, 2007; Sun, 2003). Many
researchers have argued that corpus-based activities give learners more control over their language
learni...
by Hyunsook Yoon, JungWon Jo
in Volume 18 Number 1, February 2014
- Integrating ChatGPT for vocabulary learning and retention: A classroom-based study of Saudi EFL learners
-
...Cheng, G., & Liu, C. (2022). Two decades of artificial intelligence in
Eeducation: Contributors, collaborations, research topics, challenges, and future
directions. Educational Technology & Society...
by Safaa Mahmoud Abdelhalim, Raniya Alsehibany
in Volume 29 Number 1, 2025
- Presence and agency in real and virtual spaces: The promise of extended reality for language learning
-
...Cheng at al. (2017) used the ability of a VR system to track
14 Language Learning & Technology
upper body movements to enable students learning Japanese to experience bowing in connection wi...
by Robert Godwin-Jones
in Volume 27 Number 3, October 2023 Special Issue: Extended Reality (XR) in Language Learning
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