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Showing 1 - 10 results of 34 for Tai

Collaboratively interpreting GenAI output in Chinese as an Additional Language classrooms: Creating an AI-mediated translanguaging space
...Tai, 2024). Recently, this led Tai (2026) to propose the notion of an AI-mediated translanguaging space in which AI output becomes part of classroom meaning-making. This study examines the potential...

by Xinyi Wang, Kevin Wai Hin Tai, Chin-Hsi Lin
in Volume 30 Number 1, 2026

From TPACK-in-Action workshops to classrooms: CALL competency developed and integrated
...Taiwan. Paper presented at 2012 Taiwan Education Research Conference at Natioanl Sun Yat-sen University. Dec 19-22, Kaohsiung, Taiwan. Cox, S. & Graham, C. (2009). An elaborated model of the TPACK f...

by Shu-Ju Diana Tai
in Volume 19 Number 1, February 2015 Special Issues on Teacher Education and CALL

Impact of mobile virtual reality on EFL learners’ listening comprehension
...tails in the immediate recall (M = 8.29, SD = 6.14 for main ideas; M = 6.58, SD = 4.92 for details) and in the delayed recall (M = 11.13, SD = 10.28 for main ideas; M = 4.50, SD = 3.74 for details)....

by Tzu-Yu Tai
in Volume 26 Number 1, 2022

EFL adolescents’ engagement in artificial intelligence and peer interaction
...Tai, 2024), while AI- based applications offer structured, goal-oriented lessons with adaptive feedback tailored to learner needs (Lord, 2016; Rosell-Aguilar, 2018). IPAs simulate authentic convers...

by Juhee Lee
in Volume 29 Number 1, 2025

GenAI chatbots in language learning: A systematic review of emerging affordances
...Tai & Chen (2024) Taiwan Speaking Middle School Individual, Paired CooIE Bot 18 Tseng & Lin (2024) Taiwan Writing Higher Ed. Individual ChatGPT 3.5 19 Üstünbaş (2024) Türkiye Speak...

by Luis Lopez, Galyna Arabadzhy
in Volume 30 Number 1, 2026

A systematic review of technology-enhanced L2 listening development since 2000
...taining (Hwang et al., 2017). New tools reduced students’ anxiety and embarrassment when listening (Tai & Chen, 2022) because they could remain anonymous (Agbatogun, 2014) and had human- computer int...

by Ruofei Zhang, Di Zou, Gary Cheng
in Volume 27 Number 3, October 2023 Special Issue: Extended Reality (XR) in Language Learning

Uni-, bi-, and multimodal mobile-assisted listening: Differential effects of app mode on EFL listening comprehension and recognition
...tailor their learning experiences to their individual preferences and personality characteristics (Tai & Chen, 2024; Kukulska-Hulme, 2009). This is a highly significant contributory factor as when s...

by Marwa Hafour
in Volume 29 Number 1, 2025

Dynamicity of EFL learners’ emotions and WTC in Human-AI interactions
...taining stable WTC despite persistent content deficiencies. When confronted with mechanical repetitions and inadequate elaborations, Sofia persisted in prompting Replika for more detail: “I knew ...

by Qian Cheng, Xiuwen Chen, Yiyang Luo, Hao Wang
in Volume 30 Number 2, Special Issue: Emotional CALL

Teachers’ technology-related self-images and roles: Exploring CALL teachers’ professional identity
...Tai, 2015; Torsani, 2016; Tseng, 2018). Zahra Shafiee, S. Susan Marandi, and Vahid Reza Mirzaeian 3 For instance, Tai (2015) adopted an experiential approach to TPACK and proposed the TPAC...

by Zahra Shafiee, S. Susan Marandi, Vahid Reza Mirzaeian
in Volume 26 Number 1, 2022

Using an AI-powered chatbot for improving L2 Korean grammar: A comparison between proficiency levels and task types
...Taiwanese universities (Lin & Mubarok, 2021; Tai, 2024), and a game-based middle school classroom in Taiwan (Tai & Chen, 2024). These oral English improvements occurred regardless of whether interac...

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