- Distributed agency in second language learning and teaching through generative AI
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...choices, but also by commercially determined
factors such as advertising/marketing considerations or even the desire to rank extreme views more highly
so as to foment buzz and generate greater money...
by Robert Godwin-Jones
in Volume 28 Number 2, June 2024 Special Issue: Artificial Intelligence for Language Learning
- Learning processes in interactive CALL systems: Linking automatic feedback, system logs, and learning outcomes
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...choice recognition activity). Another study by Cerezo (2016) similarly
highlighted the importance of investigating language learning as a process. The author found counter-
productive roles of fatigu...
by Bronson Hui, Björn Rudzewitz, Detmar Meurers
in Volume 27 Number 1, 2023
- Investigating the impact of chatbot design features on affective variables: A mixed-methods study
-
...Choi, C. W. (2016). Willingness to communicate in
English: A microsystem model in the Iranian EFL classroom context. TESOL Quarterly, 50(1),
154–180. https://doi.org/10.1002/tesq.204
https://doi.o...
by Jang Ho Lee, Hansol Lee, Kyungmin Kim
in Volume 30 Number 1, 2026
- The effects of input modality on novel L2 vocabulary processing during reading: A closer look into attention and awareness
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...Choi, I., Ballard, L., Cui, Y., Johnston, S., Lee, S., Sarkar, A., & Yoon, H.-J.
(2018). Incidental vocabulary learning in a natural reading context: An eye-tracking study.
Bilingualism: Language an...
by Aysen Tuzcu
in Volume 29 Number 3, October 2025 Special Issue: Multimodality in CALL
- Promoting revision in L2 writing: A mixed-methods study on the role of specialized AI feedback agents
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...choice, most students used
ChatGPT (n = 16 of 18). However, variation in tool capability is acknowledged as an uncontrolled source
of variance. Students provided informed consent, and all data were ...
by Yujong Park, Jeeho Ryoo
in Volume 30 Number 1, 2026
- Exploring AI-Generated text in student writing: How does AI help?
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...choice
of different models and number of outputs, students could access a greater number of outputs to integrate
into their writing. Furthermore, students could compare model outputs and learn that ...
by David James Woo, Hengky Susanto, Chi Ho Yeung, Kai Guo, April Ka Yeng Fung
in Volume 28 Number 2, June 2024 Special Issue: Artificial Intelligence for Language Learning
- Multimodal effects of processing and learning contextualized L2 vocabulary
-
...choice possible answers (correct answer and two distractors). Meaning was defined
as the semantic category of each word (see Supplemental Material H). Participants could hear the
auditory items thre...
by Jonathon Malone
in Volume 29 Number 3, October 2025 Special Issue: Multimodality in CALL
- The emergence of texture: An analysis of the functions of the nominal demonstratives in an English interlanguage corpus
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...choices among grammatical and semantic
elements. The basic approach adopted here to the issue of interlanguage development is dialectical
and qualitative. In the words of Lucien Goldmann (1964),
the o...
by Terry Murphy
in Volume 05 Number 3, September 2001 Special Issue Using Corpora in Language Teaching and Learning
- Dynamicity of EFL learners’ emotions and WTC in Human-AI interactions
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...Choi, S. (2024a). A systematic review of research on speech-recognition chatbots for
language learning: Implications for future directions in the era of large language models.
Interactive Learning E...
by Qian Cheng, Xiuwen Chen, Yiyang Luo, Hao Wang
in Volume 30 Number 2, Special Issue: Emotional CALL
- How captions help people learn languages: A working-memory, eye-tracking study
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...Choi, I., Ballard, L., Cui, Y., Johnston, S., Lee, S., Sakar, A., & Yoon, H. (2018).
Incidental vocabulary learning in a natural reading context: An eye-tracking study. Bilingualism:
Language and Co...
by Susan Gass, Paula Winke, Daniel R. Isbell, Jieun Ahn
in Volume 23 Number 2, June 2019
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