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Showing 51 - 60 results of 77 for Jiang

A system for adaptive high-variability segmental perceptual training: Implementation, effectiveness, transfer
...Jiang, Meyr, & Yang, 2015: Mandarin tones; Ducate & Lomicka, 2009: German and French pronunciation; Hardison, 2004: French prosody and segmentals; Hirata, 2004: Japanese intonation; Hirata & Kelly, ...

by Manman Qian, Evgeny Chukharev-Hudilainen, John Levis
in Volume 22 Number 1, February 2018

Twenty-five years of computer-assisted language learning: A topic modeling analysis
...Jiang et al., 2021). As an ongoing and increasingly important area in CALL, DMC for multiliteracy development was well-documented. However, the way it facilitated English learning and teachers’ enga...

by Xieling Chen, Di Zou, Haoran R. Xie, Fan Su
in Volume 25 Number 3, October 2021 Special Issue: 25 Years of Emerging Technology in CALL

Thank Yous and Welcomes
...Jiang Tan Jin Napat Jitpaisarnwattana DJ Kaiser EunYoung Kang Regina Kaplan-Rakowski Natalia Kartushina Rick Kern Greg Kessler Matt Kessler Hea-Suk Kim Tanja Kocjancic Antolik Svetlana Kol...

in News & Announcements

Moving from off-the-shelf chatbots to a user-designed bespoke L2 chatbot
...Jiang, M., Nie, J., Ding, Y., Yue, J., & Wu, Y. (2023). How close is ChatGPT to human experts?: Comparison corpus, evaluation, and detection. arXiv. https://doi.org/10.48550/arXiv.2301.07597 Huang,...

by Dongkwang Shin, Jang Ho Lee
in Volume 28 Number 1, 2024

Voice-user interfaces for TESOL: Potential and receptiveness among native and non-native English speaking instructors
...Jiang, J., Awadallah, A., Crook, A., Zitouni, I., & Anastasakos, T. (2016). Understanding user satisfaction with intelligent assistants. In D. Kelly, R. Capra, N. Belkin, J. Teevan, & P. Vakkari (Ed...

by David Kent
in Volume 25 Number 3, October 2021 Special Issue: 25 Years of Emerging Technology in CALL

Bots for language learning now: Current and future directions
...Jiang, 2018). During the past three decades, communicating online has gone from the fringe to the norm. To suggest that the present generation is comfortable with online synchronous and asynchronous...

by Luke Fryer, David Coniam, Rollo Carpenter, Diana Lăpușneanu
in Volume 24 Number 2, June 2020 Special Issue: Technology-enhanced L2 Instructional Pragmatics

Students' responses to computer-mediated coded feedback and the factors influencing those students' responses: A multiple-case study in the CFL setting
...Jiang, L. (2022). Mapping research on second language writing teachers: A review on teacher cognition, practices, and expertise. System, 102870. https://doi.org/10.1016/j.system.2022.102870 14 L...

by Jining Han
in Volume 28 Number 1, 2024

EFL students' self-directed learning of conversation skills with AI chatbots
...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 sixth (2019) ACM confe...

by Sooyeon Kang, Min-Chang Sung
in Volume 28 Number 1, 2024

The development of EFL learners’ self-efficacy in technology use environments
...Jiang, M., Yu, X., Lu, Y., & Liu, S. (2025). Does ChatGPT enhance student learning? A systematic review and meta-analysis of experimental studies. Computers & Education, 227, Article 105224. https:/...

by Xuelian Li, Manzhen Yang
in Volume 30 Number 1, 2026

Adolescent English learners’ language development in technology-enhanced classrooms
...Jiang, J., & Edwards, N. (2014). Technology use and self-perceptions of English language skills among urban adolescents. Computer Assisted Language Learning, 28(5), 450–478. Li, Q. (2007). Student a...

by Avery Carhill-Poza, Jie Chen
in Volume 24 Number 3, October 2020