- ICALL offering individually adaptive input: Effects of complex input on L2 development
-
...Rebuschat, Lancaster University
Abstract
The Artificial Intelligence methods employed in Intelligent Computer Assisted Language Learning (ICALL)
in principle makes it possible to individually suppo...
by Xiaobin Chen, Detmar Meurers, Patrick Rebuschat
in Volume 26 Number 1, 2022
- Building the porous classroom: An expanded model for blended language learning
-
...Rebuschat, 2015; Ellis, 2015; Lee, 2016;
Little & Thorne, 2017; Ortega, 2017). That targeted instruction can, of course, be done—and is being done
increasingly—in a completely online environment. In...
by Robert Godwin-Jones
in Volume 24 Number 3, October 2020
- The effects of feedback type and explicit associative memory on the effectiveness of delayed corrective feedback in computer-mediated communication
-
...Rebuschat (Ed.), Implicit and explicit learning of languages (pp. 443–482). John Benjamins.
https://doi.org/10.1075/sibil.48.18goo
Granena, G., & Yilmaz, Y. (2018). Aptitude-Treatment Interaction ...
by Yucel Yilmaz, Gisela Granena, Laia Canals, Alexandra Malicka
in Volume 28 Number 1, 2024
- Data-Informed language learning
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...Rebuschat, P., Ruiz, S., Moreno‐Vega, J. L., Chinkina, M., Li, W., & Grey, S.
(2017). Interdisciplinary research at the intersection of CALL, NLP, and SLA: Methodological
implications from an input ...
by Robert Godwin-Jones
in Volume 21 Number 3, October 2017 Special Issue on Corpora in Language Learning and Teaching
- Emerging spaces for language learning: AI bots, ambient intelligence, and the metaverse
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...Rebuschat (Ed.), Implicit and explicit learning of languages
(pp. 25–46). John Benjamins. https://doi.org/10.1075/sibil.48.02hul
Robert Godwin-Jones 23
Hwang, G. J., & Chien, S. Y. (...
by Robert Godwin-Jones
in Volume 27 Number 2, February 2023 Special Issue: Semiotics in CALL
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