- Leveraging COCA to teach collocations with high mutual information scores
-
...Chi Minh City, Viet Nam
Abstract
Over the past decades, the Corpus of Contemporary American English (COCA), an online corpus tool,
has been effectively used in teaching collocations. However, ...
by Quy Huynh Phu Pham
in Volume 29 Number 1, 2025
- Automatic pronunciation assessment vs. automatic speech recognition: A study of conflicting conditions for L2-English
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...chiarini, C., & Hardison, D. M. (2018). Directions for the future of
technology in pronunciation research and teaching. Journal of Second Language Pronunciation, 4(2),
182–207. https://doi.org/10.10...
by Enrique Cámara-Arenas, Cristian Tejedor-García, Cecilia Judith Tomas-Vázquez, David Escudero-Mancebo
in Volume 27 Number 1, 2023
- Peer and NS-learner videoconferencing: Language-related episodes and perceived usefulness
-
...Chicago está como.... no millones, pero, como, no sé, no mil, pero pienso
que ´mil´ es más pequeño, como, ´millón´, dos punto cinco ´millón´
‘Ah, yes. Chicago is like… not millions, but, like, I do...
by Lauren Hetrovicz
in Volume 27 Number 1, 2023
- Learning processes in interactive CALL systems: Linking automatic feedback, system logs, and learning outcomes
-
...ching) and language
learning processes (i.e., happening during treatment and/or teaching) and to lay a greater emphasis on the
latter (e.g., Godfroid, 2019; Leow, 2015). In addition, log data allows...
by Bronson Hui, Björn Rudzewitz, Detmar Meurers
in Volume 27 Number 1, 2023
- Announcements and news from our sponsors
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...Chih-Kai Chang
Chin-Chi Chao
Maggie Charles
Tendai Charles
Howard Chen
Julian Chen
Xiaobin Chen
Alice Chik
Sungmook Choi
Mary Ann Christison
Andrew Cohen
David Coniam
Kathy Conklin
Jillia...
in Volume 25 Number 1, February 2021 Special Issue: Big Data in Language Education & Research
- The potential advantages of using an LLM-based chatbot for automated writing evaluation for English teaching practitioners
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...chi-square test for
fixed effects varied significantly in rater severity (chi-square = 43.3, df = 2; p < .01), suggesting that all
three differed in severity, with the reliability of the separation ...
by Kyungmin Kim, Jang Ho Lee, Dongkwang Shin
in Volume 29 Number 1, 2025
- AI-assisted English learning: A tool for all or only a select few?
-
...chievement is average (1), but strong environmental
support (2, 3, 4). Low interest (5) leads to limited intrinsic
motivation.
Class 2:
Confident with Low
Achievement Group
23.9 211
Achievem...
by EunJung Kim
in Volume 29 Number 1, 2025
- Announcements and news from our sponsors
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...Chin-Chi Chao, Cheryl
Wei-Yu Chen, Howard Chen, Yan Chen, Alice Chik, Bertha Chin, Jennifer Claro, Tom Cobb, Tatiana
Codreanu, Karina Collentine, Kathy Conklin, Frederik Cornillie, Elena Cotos, Jere...
in Volume 23 Number 1, February 2019 Special Issue: CALL in the Digital Wilds
- Announcements and news from our sponsors
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...Chih Sun
Dr. Pia Sundqvist
Prof. Tetyana Sydorenko
Dr. Julie Sykes
Dr. Naoko Taguchi
Mr. Chiachieh Tang
Dr. Joshua Thoms
Prof. Ron Thomson
Dr. Constanza Tolosa
Dr. Sheng-Shiang Tseng
Prof. V...
in Volume 24 Number 1, February 2020
- EFL adolescents’ engagement in artificial intelligence and peer interaction
-
...chi-square statistic did not meet the recommended criteria, this was likely due to
the large sample size, which can inflate chi-square values and lead to statistical significance (Byrne,
2010). Al...
by Juhee Lee
in Volume 29 Number 1, 2025
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