- A systematic review of research on AI in language education: Current status and future implications
-
...Huang et al., 2023).
Scholars have explored the multifaceted benefits of AI in personalizing language learning experiences
(Zhang & Zou, 2022), offering real-time and rich feedback (Chen et al., 2...
by Meina Zhu, Chaoran Wang
in Volume 29 Number 1, 2025
- From particular to popular: Facilitating EFL mobile-supported cooperative reading
-
...Huang, Huang, Huang, & Lin, 2012; Sandberg, Maris, & de Geus, 2011;
Thornton & Houser, 2005), phrases (e.g. Morita, 2003; Thornton & Houser, 2005), and grammar (Sung,
Huang, & Chang, 2006), rather t...
by Yu-Ju Lan, Yao-Ting Sung, Kuo-En Chang
in Volume 17 Number 3, October 2013 Special Issue on MALL
- The impact of video and written feedback on student preferences of English speaking practice
-
...Huang, 2015) have implemented video
feedback in language classrooms using video technology or blogs. For example, Hung (2016) investigated
the effect of video on EFL learners’ engagement in and stra...
by Sheng-Shiang Tseng, Hui-Chin Yeh
in Volume 23 Number 2, June 2019
- Using a radical-derived character e-learning platform to increase learner knowledge of Chinese characters
-
...Huang, 2006). What is different from
former work is that this study, in addition to validating the possibility of the radical-derived character
instruction from a theoretical perspective (Huang, 2008)...
by Hsueh-Chih Chen, Chih-Chun Hsu, Li-Yun Chang, Yu-Chi Lin, Kuo-En Chang, Yao-Ting Sung
in Volume 17 Number 1, February 2013 Special Issue on Less Commonly Taught Languages - Language Learning & Technology
- Evaluating intelligent personal assistants for L2 listening and speaking development
-
...Huang, Huang, Huang, & Lin, 2012). The TAM is one of the most
impactful and widely utilized research frameworks used to study a person’s acceptance of a given
technology (Lee, Kozar, & Larsen, 2003)...
by Gilbert Dizon
in Volume 24 Number 1, February 2020
- Partnering with AI: Intelligent writing assistance and instructed language learning
-
...Huang & Wilson, 2021; Ranalli et al., 2017). The revisions most commonly made are in grammatical
accuracy and lexical appropriateness rather than in content or structure (Bridgeman & Ramineni, 2017; ...
by Robert Godwin-Jones
in Volume 26 Number 2, June 2022 Special Issue: Automated Writing Evaluation
- What does AI bring to second language writing? A systematic review (2014-2024)
-
...Huang et al.,
2023; Liang et al., 2023), or narrowly on specific AI technologies, such as AWE (Karatay & Karatay,
2024; Huang et al., 2024), chatbots (W. Huang et al., 2022; Ji et al., 2023), and MT...
by Haiying Feng, Kexin Li, Lawrence Jun Zhang
in Volume 29 Number 1, 2025
- The AI chatbot interaction for semantic learning: A collaborative note-taking approach with EFL students
-
...Huang et al., 2022; Huang et al., 2023). Thoughtfully designed and appropriately integrated AI chatbots
have shown significant benefits in language learning, along with enhanced engagement achieved t...
by Mei-Rong Alice Chen
in Volume 28 Number 1, 2024
- A systematic review of technology-enhanced L2 listening development since 2000
-
...Huang,
2020). Educational technologies used for listening development included chats (Jia & Hew, 2022), websites
and digital resources (Cross, 2009), games (Hsieh & Huang, 2020), and social networks...
by Ruofei Zhang, Di Zou, Gary Cheng
in Volume 27 Number 3, October 2023 Special Issue: Extended Reality (XR) in Language Learning
- Language teachers’ professional role identities and classroom technology integration
-
...Huang’s account of her technology use over time revealed how the interplay of role identities and
technology use was situated in the wider sociocultural contexts. Huang used to be a technology pionee...
by Chun Lai, Boning Lyu, Lianjiang Jiang, Yang Gong
in Volume 29 Number 1, 2025
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