- Automated written corrective feedback: Error-correction performance and timing of delivery
-
...Yamashita, University of Toledo
Abstract
To the extent automated written corrective feedback (AWCF) tools such as Grammarly are based on
sophisticated error-correction technologies, such as machine...
by Jim Ranalli, Taichi Yamashita
in Volume 26 Number 1, 2022
- Corrective feedback in computer-mediated collaborative writing and revision contributions
-
Language Learning & Technology
ISSN 1094-3501
June 2021, Volume 25, Issue 2
pp. 75–93
ARTICLE
Corrective feedback in computer-mediated
collaborative writing and revision contributions
Taichi Ya...
by Taichi Yamashita
in Volume 25 Number 2, June 2021
- Partnering with AI: Intelligent writing assistance and instructed language learning
-
...Yamashita, 2022). As with editing tools, machine translation (MT) has improved
exponentially in the last few years and now provides high-quality and reliable translations in many language
combinatio...
by Robert Godwin-Jones
in Volume 26 Number 2, June 2022 Special Issue: Automated Writing Evaluation
- Genre-based AWE system for engineering graduate writing: Development and evaluation
-
...Yamashita, 2019; Warschauer & Ware,
2006). When it comes to genre-specific writing, general AWE feedback may be insufficient because
communicative purposes should be achieved, for which feedback is ...
by Hui-Hsien Feng, Evgeny Chukharev-Hudilainen
in Volume 26 Number 2, June 2022 Special Issue: Automated Writing Evaluation
- Announcements and news from our sponsors
-
...Yamashita
Kasumi Yamazaki
Li Yang
Inigo Yanguas
Yucel Yilmaz
Hyung-Jo Yoon
James York
Binbin Zheng
Dongping Zheng
Suzana Zilic Fiser
Di Zou
Katerina Zourou
Request for copyeditors
W...
in Volume 25 Number 1, February 2021 Special Issue: Big Data in Language Education & Research
- Developing stealth assessments to assess young Chinese learners' L2 reading comprehension
-
...Yamashita, 2014). Game-based assessments may help address some of the difficulties associated
Frederick J. Poole, Matthew D. Coss, and Jody Clarke-Midura 123
with assessing L2 readi...
by Frederick J. Poole, Matthew D. Coss, Jody Clarke-Midura
in Volume 29 Number 2, February 2025 Special Issue: Indigenous Languages and Less Commonly Taught Languages (LCTLs) with Technology
- Thank Yous and Welcomes
-
...Yamashita
Bei Yang
Inigo Yanguas
Hui-Chin Yeh
James York
Meixiu Zhang
Victor Zhang
Dongping Zheng
Binbin Zheng
Li Zhi
Nicole Ziegler
Di Zou
Katerina Zourou
Dorothy Chun
Trude Heift
LL...
in News & Announcements
- Computers in language testing: Present research and some future directions
-
...Yamashita) on language testing in Japan (JALT).
E-mail: brownj@hawaii.edu
James Dean Brown Methodological Issues in Research on Learner Computer ...
Language Learning & Technology 48
REFERENCE...
by James Dean Brown
in Volume 01 Number 1, July 1997 Special Issue: Defining the Research Agenda – Language Learning and Technology
- Ubiquitous learning: Determinants impacting learners’ satisfaction and performance with smartphones
-
...Yamashita (Eds.), Proceedings of World Conference on E-Learning in Corporate, Government,
Healthcare, and Higher Education 2006 (pp. 158–163). Chesapeake, VA: Association for the
Advancement of Comp...
by Hee-Jung Jung
in Volume 18 Number 3, October 2014
- Computer Learner Corpora: Analysing Interlanguage Errors in Synchronous and Asynchronous Communication
-
...Yamashita (Eds.), Proceedings of World Conference on E-Learning in Corporate,
Government, Healthcare, and Higher Education 2006 (pp. 2650–2657). Chesapeake, VA: AACE.
Swan, M., & Smith, B. (Eds.). ...
by Penny MacDonald, Amparo García-Carbonell, José Miguel Carot-Sierra
in Volume 17 Number 2, June 2013
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.