- EFL students' self-directed learning of conversation skills with AI chatbots
-
...Xu, Q., Davis, G. M., Jiang, L., Brunskill, E., & Landay, J. A. (2019). Bookbuddy:
Turning digital materials into interactive foreign language lessons through a voice chatbot. In
Proceedings of the ...
by Sooyeon Kang, Min-Chang Sung
in Volume 28 Number 1, 2024
- Teaching pronunciation online: A sociomaterial study of Swedish as a second language instruction in adult education
-
...Xu, H., & Hu, H. (2023). Restructuring multimodal corrective feedback through
Augmented Reality (AR)-enabled videoconferencing in L2 pronunciation teaching. Language
Learning & Technology, 27(3), 83...
by Andreas Lagerlöf
in Volume 30 Number 1, 2026
- Promoting revision in L2 writing: A mixed-methods study on the role of specialized AI feedback agents
-
...Xu, K. (2026). A systematic review of language educators’
practices and development with GenAI. International Journal of Artificial Intelligence in
Education, 36(1–2), Article 100010. https://doi.or...
by Yujong Park, Jeeho Ryoo
in Volume 30 Number 1, 2026
- Second language processing of errors in Korean-to-English machine-translated output
-
...Xu, J., D’Haro, L. F., & Ney, H. (2006). Error analysis of statistical machine translation output.
In C. Strapparava, A. Valitutti, & O. Stock (Eds.), Proceedings of the Fifth International Conferenc...
by Eun Seon Chung
in Volume 28 Number 1, 2024
- Exploring AI-Generated text in student writing: How does AI help?
-
...Xu, Y., Ishii, E., Bang, Y. J., Madotto, A., & Fung, P. (2023).
Survey of hallucination in natural language generation. ACM Computing Surveys, 55(12), 1-38.
https://doi.org/10.1145/3571730
Kangasha...
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
- A protocol for evaluating AI chatbots’ capabilities for low-resource language teachers
-
...Xue, M. J., Park, P. S., Blasi, D., & Henrich, J. (2023). Which humans? PsyArXiv.
https://doi.org/10.31234/osf.io/5b26t
Baack, S. (2024). A critical analysis of the largest source for generative ...
by Nicholas Swineheart, Phuong Nguyen, Ellen Yeh
in Volume 29 Number 1, 2025
- Modelling students’ emotional engagement in AI-augmented English reading: Mediation of AI learning interest and reading enjoyment
-
...Xue, 2024).
However, over-reliance on technology in AIED (Artificial Intelligence in Education) can lead to an
overestimation of AI's role in emotion regulation and a neglect of human interaction's ...
by Honggang Liu, Jiqun Fan
in Volume 30 Number 2, Special Issue: Emotional CALL
- Who wrote this? An EAP think-aloud study on AI detection
-
...Xu, D., & Yaghmourian, D. L. (2018). Translating the
ICAP theory of cognitive engagement into practice. Cognitive Science, 42(6), 1777–1832.
https://doi.org/10.1111/cogs.12626
Cooksey, R. W., Free...
by Zainab Teraif
in Volume 30 Number 1, 2026
- Unpacking EFL students’ engagement with GAI in digital multimodal composing
-
...Xu, W., & Wang, C. (2025). Purposeful remixing with generative AI: Constructing designer
voice in multimodal composing. Computers and Composition, 75, Article 102893.
https://doi.org/10.1016/j.compc...
by Yu Zhang, Lawrence Jun Zhang, Li Jia, Yumei Yang
in Volume 30 Number 1, 2026
- Second language learners’ post-editing strategies for machine translation errors
-
...Xu, J., D’Haro, L. F., & Ney, H. (2006). Error analysis of machine translation output. In N.
Calzolari, K. Choukri, A. Gangemi, B. Maegaard, J. Mariani, J. Odijk & D. Tapias (Eds.),
Proceedings of t...
by Dongkawang Shin, Yuah V. Chon
in Volume 27 Number 1, 2023