- Beyond grammar: How ChatGPT-4.0 shapes writing self-efficacy and performance in CSL writing
-
...Chen (2026) examined automated
corrective feedback in L2 Chinese writing and showed that feedback effectiveness varied according to
model version and prompt language. Zhang, Xu, and Nguyen (2025) si...
by Guan Huang, Huijing Chen
in Volume 30 Number 1, 2026
- Dynamicity of EFL learners’ emotions and WTC in Human-AI interactions
-
...Chen, chen.xiuwen@mail.shufe.edu.cn
Dynamicity of EFL learners’ emotions and WTC in
Human-AI interactions
Qian Cheng, Shanghai University of Finance and Economics
Xiuwen Chen*, Shanghai Univ...
by Qian Cheng, Xiuwen Chen, Yiyang Luo, Hao Wang
in Volume 30 Number 2, Special Issue: Emotional CALL
- Connecting multimodal learning processes and outcomes in CALL: Introduction to the special issue
-
...Xu et al. (2025), the authors investigate the potential of a DMC task to enhance
aspects of student writers’ metacognition. Their mixed methods study leveraged both an experimental
group and a compa...
by Bronson Hui, Matt Kessler
in Volume 29 Number 3, October 2025 Special Issue: Multimodality in CALL
- Teacher engagement with automated text simplification for differentiated instruction
-
...Chen & Meurers, 2019; Pérez-Paredes, Ordoñana
Guillamón, & Aguado Jiménez, 2018), and play a vital role in implementing these systems in differentiated
classroom teaching (Bateson et al., 2018; Keun...
by Fengkai Liu, Yishi Jiang, Chun Lai, Tan Jin
in Volume 28 Number 2, June 2024 Special Issue: Artificial Intelligence for Language Learning
- Language teachers’ professional role identities and classroom technology integration
-
...Xu and Li’s use of multimodal composition was a telling case of how teacher role
identities shaped purposes of technology integration. Xu believed strongly in her role as a Chinese language
and cult...
by Chun Lai, Boning Lyu, Lianjiang Jiang, Yang Gong
in Volume 29 Number 1, 2025
- Using an AI-powered chatbot for improving L2 Korean grammar: A comparison between proficiency levels and task types
-
...Chen et al., 2020; Lee & Jeon, 2024; Jeon et al., 2023; Tai & Chen, 2024; Zhang
et al., 2024; Zhang & Zou, 2022). The positive pedagogical impact of AI chatbots is primarily due to their
conversatio...
by Ji-young Shin, Yujeong Choi
in Volume 29 Number 2, February 2025 Special Issue: Indigenous Languages and Less Commonly Taught Languages (LCTLs) with Technology
- Investigating linguistic, literary, and social affordances of L2 collaborative reading
-
...Chen & Chen, 2014; Li, Pow, & Cheung, 2015), and findings
reveal that annotations assist in the development of various skills, for example, the development of
vocabulary and the cultural significanc...
by Joshua J. Thoms, Frederick Poole
in Volume 21 Number 2, June 2017
- Comprehensibility of AI-generated and human simplified texts for L2 learners
-
...Xu, W., Napoles, C., Pavlick, E., Chen, Q., & Callison-Burch, C. (2016). Optimizing statistical machine
translation for text simplification. Transactions of the Association for Computational Linguist...
by Dennis Murphy Odo
in Volume 29 Number 1, 2025
- The developmental trajectory of L2 students’ positive achievement emotions and flow experience within AI-enhanced classrooms: A latent growth curve modeling (LGCM)
-
...Cheng, G., Chen, X., & Xie, H. (2023). Trends, research issues and applications of
artificial intelligence in language education. Educational Technology & Society, 26(1), 112–131.
Retrieved from htt...
by Lili Qin, Ali Derakhshan
in Volume 30 Number 2, Special Issue: Emotional CALL
- The accuracy of computer-assisted feedback and students’ responses to it
-
...Chen & Cheng, 2008, for an analysis of
students’ and instructors’ opinions of the effectiveness of MyAccess!).
On the other hand, researchers have examined the accuracy of a few stand-alone intellig...
by Elizabeth Lavolette, Charlene Polio, Jimin Kahng
in Volume 19 Number 2, June 2015
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.