- How captions help people learn languages: A working-memory, eye-tracking study
-
...meta-analysis by Montero Perez, Van den Noortgate, and Desmet (2013) included 18 experimental
studies that examined the effects of captions on listening comprehension and vocabulary learning. They
f...
by Susan Gass, Paula Winke, Daniel R. Isbell, Jieun Ahn
in Volume 23 Number 2, June 2019
- Enhancing extensive reading with data-driven learning
-
...analysis (pp. 57–78). Colchester, UK: EuroSLA. Retrieved
from http://www.eurosla.org/monographs/EM02/EM02tot.pdf
Mizumoto, A., & Chujo, K. (2015). A meta-analysis of data-driven learning approach in...
by Gregory Hadley, Maggie Charles
in Volume 21 Number 3, October 2017 Special Issue on Corpora in Language Learning and Teaching
- Exploring multimodality in technology-mediated collaborative writing: An activity theory
-
...analysis via InputLog was performed.
Source analysis identifies the type and frequency of online sources used, including news articles, journal
articles, dictionaries, and so on. First, the source a...
by Annita Stell
in Volume 29 Number 3, October 2025 Special Issue: Multimodality in CALL
- EFL students' self-directed learning of conversation skills with AI chatbots
-
...metacognition, cognition, and behavior. Each domain included three
items which addressed three different themes. For example, the three items in metacognition examined
whether one plans, monitors, a...
by Sooyeon Kang, Min-Chang Sung
in Volume 28 Number 1, 2024
- Review of Serious play: Literacy, learning, and digital games
-
...meta-analysis. Review of Educational Research, 86(1), 79–122.
Dikkers, S. (2015). TeacherCraft: How teachers learn to use Minecraft in their classrooms. Pittsburgh,
PA: ETC Press.
...
by Jeff Kuhn
in Volume 22 Number 2, June 2018 Special Issue on Qualitative Research in CALL
- Building the porous classroom: An expanded model for blended language learning
-
...meta-analysis
of blended learning and technology use in higher education: From the general to the applied. Journal
of Computing in Higher Education, 26, 87–122.
Black, R. W. (2006). Language, cult...
by Robert Godwin-Jones
in Volume 24 Number 3, October 2020
- Eye tracking as a measure of noticing: A study of explicit recasts in SCMC
-
...analysis
chosen as most of the more commonly used statistical analysis procedures assume an independence of
observations. In order to take this non-independence into account, a Generalized Estimatin...
by Bryan Smith
in Volume 16 Number 3, October 2012
- The effects of feedback type and explicit associative memory on the effectiveness of delayed corrective feedback in computer-mediated communication
-
...meta-analysis. Language Learning,
60(2), 309–365. https://doi.org/10.1111/j.1467-9922.2010.00561.x
Li, S., Zhu, Y., & Ellis, R. (2016). The effects of the timing of corrective feedback on the acqu...
by Yucel Yilmaz, Gisela Granena, Laia Canals, Alexandra Malicka
in Volume 28 Number 1, 2024
- Corrective feedback accuracy and pronunciation improvement: Feedback that is ‘good enough’
-
...analysis.
Data Analysis
Judgments of speech samples were encoded as -1 if the pretest recording was rated as superior to the posttest
recording and +1 if the posttest recording was rated as superio...
by Alif Silpachai, Reza Neiriz, MacKenzie Novotny, Ricardo Gutierrez-Osuna, John M. Levis, Evgeny Chukharev
in Volume 28 Number 1, 2024
- Comparing individual vs. collaborative processing of ChatGPT-generated feedback: Effects on L2 writing task improvement and learning
-
...meta-analysis, where Lv et al. (2021) reported a significantly larger
effect size of online feedback on EFL writing task performance for collaborative tasks than individual
ones (compare g = 1.075 a...
by Da Yan
in Volume 28 Number 1, 2024
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.