- Big data and language learning: Opportunities and challenges
-
...huge sets of collected data, has led
to breakthroughs in the creation of powerful artificial neural networks. The output of these systems blurs
the lines between human and machine-generated speech. ...
by Robert Godwin-Jones
in Volume 25 Number 1, February 2021 Special Issue: Big Data in Language Education & Research
- Lag effects for foreign language vocabulary learning through Quizlet
-
...Huang (2018) found similar results from
ISI-1 and ISI-7 on incidental vocabulary learning and an advantage to ISI-1 in a partial replication
involving intentional learning (Serrano & Huang, 2021). K...
by Jonathon Serfaty, Raquel Serrano
in Volume 28 Number 1, 2024
- Promoting learner autonomy through multiliteracy skills development in cross-institutional exchanges
-
...Huh & Hu, 2005, p. 17); and we especially “need a better understanding of how
exactly all of these factors interact and operate in real pedagogical contexts” (Chambers & Bax, 2006, pp.
466–67; see a...
by Carolin Fuchs, Andreas Müller-Hartmann, Mirjam Hauck
in Volume 16 Number 3, October 2012
- Adolescent English learners’ language development in technology-enhanced classrooms
-
...husetts Boston
Jie Chen, University of Massachusetts Boston
Abstract
Despite their demographic importance in U.S. classrooms, little is known about how the strengths and
needs of English learners ...
by Avery Carhill-Poza, Jie Chen
in Volume 24 Number 3, October 2020
- Automated versus peer assessment: Effects of learners' English public speaking
-
...human feedback.
Chunping Zheng, Xu Chen, Huayang Zhang, and Ching Sing Chai 223
Acknowledgements
This research is funded by the National Natural Science Foundation of China (621070...
by Chunping Zheng, Xu Chen, Huayang Zhang, Ching Sing Chai
in Volume 28 Number 2, June 2024 Special Issue: Artificial Intelligence for Language Learning
- AI-assisted English learning: A tool for all or only a select few?
-
...Hu & McKay, 2012; Wang & Curdt-Christiansen, 2018), where disparities in resources,
motivation, and parental involvement lead to uneven outcomes. To address these issues, artificial
intelligence (AI...
by EunJung Kim
in Volume 29 Number 1, 2025
- The Effects of Text-Based SCMC on SLA: A Meta Analysis
-
...Hua University (Hsinchu, Taiwan).
Hung-Tzu Huang, assistant professor at Department of Foreign Languages and Literature of National
Tsing Hua University (Hsinchu, Taiwan), specializes in L2 vocabula...
by Wei-Chen Lin, Hung-Tzu Huang, Hsien-Chin Liou
in Volume 17 Number 2, June 2013
- Task-induced development of hinting behaviors in online task-oriented L2 interaction
-
...huh huh
22 ZEH: blah blah [/zma:n/
23 SIN: [huh 3# - lines 25 – She moves the cursor up on previous
24 ZEH:
25
par
#2
(2.0)
on-screen activity and changes the tab to the task
interface. She types...
by Ufuk Balaman
in Volume 22 Number 2, June 2018 Special Issue on Qualitative Research in CALL
- Vocabulary learning from watching YouTube videos and reading blog posts
-
...Hulstijn, 2001; Nation, 2001; Schmitt,
2000). For this reason, incidental learning has also been described as a byproduct of communicative
language tasks (Hulstijn, 2001).
For example, learners may...
by Henriette L. Arndt, Robert Woore
in Volume 22 Number 3, October 2018
- Augmented reality technology in language learning: A meta-analysis
-
...Huang, X., Zou, D., 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. (2...
by Juan Wu, Huiting Jiang, Shiya Chen
in Volume 28 Number 1, 2024
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