- Web-based collaborative writing in L2 contexts: Methodological insights from text mining
-
...Zhang, &
Olson, 2017).
Perceptions of Collaborative Writing
Researchers have examined L2 students’ perceptions of collaborative writing through surveys, interviews,
and observations primarily usin...
by Soobin Yim, Mark Warschauer
in Volume 21 Number 1, February 2017 Special Issue on Methodological Innovation in CALL Research
- Using machine translation to support ESL pre-service teachers’ collaborative feedback for writing
-
...Hong Kong
Tan Jin, South China Normal University
Abstract
The application of machine translation (MT) in ESL (English as a Second Language) writing has thrived
over the past decade. However, how M...
by Linling Fu, Michelle Mingyue Gu, Tan Jin
in Volume 28 Number 1, 2024
- Exposure to L2 online text on lexical and reading growth
-
...Zhang et al., 2018). Moreover, lexical knowledge has
been reliably associated with reading development (Suggate, Schaughency, McAnally, & Reese, 2018).
The relationships among print exposure, vocabu...
by Ngo Cong-lem, Sy-Ying Lee
in Volume 24 Number 3, October 2020
- Exploring EFL teachers’ knowledge and competencies: In-service program perspectives
-
...Hong, 2010; Hubbard, 2008; Hubbard & Levy,
2006). To this end, we examined English as a Foreign Language (EFL) in-service teachers’ year-long
CALL professional development seeking to prepare teacher...
by Mei-Hui Liu, Robert Kleinsasser
in Volume 19 Number 1, February 2015 Special Issues on Teacher Education and CALL
- Student use and instructor beliefs: Machine translation in language education
-
...Zhang & Zhang, 2020). This methodological technique
enables researchers to gather information about language learner thought processes during a particular event
(Gass & Mackey, 2016, p. 21) while mi...
by Emily A. Hellmich, Kimberly Vinall
in Volume 27 Number 1, 2023
- Effects of machine translation on L2 writing proficiency: The complexity accuracy, lexical diversity, and fluency
-
...Zhang & Cheng, 2021). Concerning the effectiveness of each type of corrective
feedback, previous studies were more inconclusive. Some have advocated for focused corrective feedback
because it is fri...
by Sangmin-Michelle Lee, Nayeon Kang
in Volume 28 Number 1, 2024
- The impact of technology-enhanced language learning environments on second language learners’ willingness to communicate: A systematic review of empirical studies from 2012 to 2023
-
...Zhang et al.
(2018) presented a framework that highlighted the learning situation’s impact and distinguished subjective
from objective situational perceptions. In TELLEs, Shamsi and Bozorgian (2022)...
by Huan Huang, Michael Li
in Volume 28 Number 1, 2024
- Mobile-assisted language learning: A selected annotated bibliography of implementation studies 1994–2012
-
...Hong Kong: English Language Centre,
Hong Kong Polytechnic University.
This article summarizes three MALL studies undertaken in Japan with university students
of English L2: Learning on the Move, Ed...
by Jack Burston
in Volume 17 Number 3, October 2013 Special Issue on MALL
- Thank Yous and Welcomes
-
...Zhang
Victor Zhang
Dongping Zheng
Binbin Zheng
Li Zhi
Nicole Ziegler
Di Zou
Katerina Zourou
Dorothy Chun
Trude Heift
LLT Editors-in-Chief
The Language Learning & Technology Jo...
in News & Announcements
- Students' responses to computer-mediated coded feedback and the factors influencing those students' responses: A multiple-case study in the CFL setting
-
...Zhang’s (2014) study, which covered 14
CFL error types at an advanced level of learning. Five of the categories suggested by Jin & Zhang (2014)
were not considered a good fit given the students’ Chi...
by Jining Han
in Volume 28 Number 1, 2024
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