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Showing 1 - 10 results of 11 for Yamashita

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