- The accuracy of computer-assisted feedback and students’ responses to it
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...kahng.pdf
Received: March 20, 2014; Accepted: October 26, 2014; Published: June 1, 2015
Copyright: © Elizabeth Lavolette, Charlene Polio, & Jimin Kahng
INTRODUCTION
The provision of language feedb...
by Elizabeth Lavolette, Charlene Polio, Jimin Kahng
in Volume 19 Number 2, June 2015
- Review of Criterion for English Language Learning
-
...Kahng, Michigan State University
INTRODUCTION
Criterion is a Web-based learning tool that aims to support writing instruction across many age groups
and several genres. The feedback provided by the...
by Hyojung Lim, Jimin Kahng
in Volume 16 Number 2, June 2012 Special Issue on Hegemonies in CALL
- 20 years of technology and language assessment in Language Learning & Technology
-
...Kahng,
2012). The underlying software architecture of linguistic feature detection is put to work to identify errors
in written text. The results of the error identification are used by the system t...
by Carol A. Chapelle, Erik Voss
in Volume 20 Number 2, June 2016 Special Issue of Special Issues: 20 Years of Language Learning & Technology
- The effect of two forms of computer-automated metalinguistic corrective feedback
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...Kahng, 2015; Wang, 2013). However, it was difficult to directly compare these results
with ours because different outcome measures were adopted. Automated writing evaluation studies either
compared ...
by Jianwu Gao, Shuang Ma
in Volume 23 Number 2, June 2019
- The role of technology in SLA research
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...Kahng, 2015),
and automated spoken response grading was investigated (see Crossley & McNamara, 2013).
In addition to using CMC for grammar development, writing and speaking, various forms of CMC hav...
by Dorothy M. Chun
in Volume 20 Number 2, June 2016 Special Issue of Special Issues: 20 Years of Language Learning & Technology
- Genre-based AWE system for engineering graduate writing: Development and evaluation
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...Kahng, J. (2015). The accuracy of computer-assisted feedback and students’
responses to it. Language Learning & Technology, 19(2), 50–68. http://dx.doi.org/10125/44417
Lee, D., & Swales, J. (2006). ...
by Hui-Hsien Feng, Evgeny Chukharev-Hudilainen
in Volume 26 Number 2, June 2022 Special Issue: Automated Writing Evaluation
- Investigating the types and use of feedback in middle-school English language learners’ academic writing
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...Kahng, J. (2015). The accuracy of computer-assisted feedback and students’
responses to it. Language Learning & Technology, 19(2), 50–68. http://dx.doi.org/10125/44417
22 Language Learning & Technol...
by Mikyung Kim Wolf, Saerhim Oh
in Volume 28 Number 1, 2024
- Automated written corrective feedback: Error-correction performance and timing of delivery
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...Kahng, J. (2015). The accuracy of computer-assisted feedback and students'
responses to it. Language Learning & Technology, 19(2), 50–68.
https://www.lltjournal.org/item/2903
Leacock, C., Chodorow,...
by Jim Ranalli, Taichi Yamashita
in Volume 26 Number 1, 2022
- L2 learners’ engagement with automated feedback: An eye-tracking study
-
...Kahng, J. (2015). The accuracy of computer-assisted feedback and students’
response to it. Language Learning & Technology, 19(2), 50–68.
https://scholarspace.manoa.hawaii.edu/bitstream/10125/44417/...
by Sha Liu, Guoxing Yu
in Volume 26 Number 2, June 2022 Special Issue: Automated Writing Evaluation
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.