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Showing 411 - 420 results of 437 for Ma

Vocabulary learning from watching YouTube videos and reading blog posts
...may have merely skimmed the texts and thus made fewer gains; others may have read and reflected on them in greater detail and made greater gains. Because it is not possible to skim a video for its g...

by Henriette L. Arndt, Robert Woore
in Volume 22 Number 3, October 2018

Communication topics and strategies in e-mail consultation: Comparison between american and international university students
...mail to faculty: asking for help, making excuses, making requests, and phatic communication, which is not "intended to carry real information but rather [is] used to maintain … relationships" (p. 12...

by Sigrun Bisenbach-Lucas
in Volume 09 Number 2, May 2005

Data-Informed language learning
...maller size makes search results more manageable and browsing more practical. It is more likely that a smaller corpus is able to provide full access to complete texts. Likewise, the small size may ma...

by Robert Godwin-Jones
in Volume 21 Number 3, October 2017 Special Issue on Corpora in Language Learning and Teaching

Commercial-off-the-shelf games in the digital wild and L2 learner vocabulary
...manufacture ___make 5. melt 6. threaten Figure 1. An example of the VLT format The tests were mailed to the contact teachers for administration. To ascertain test administration reliability, ...

by Pia Sundqvist
in Volume 23 Number 1, February 2019 Special Issue: CALL in the Digital Wilds

Automated written corrective feedback: Error-correction performance and timing of delivery
...mation small enough to be stored and operated on the user’s local machine. According to Leacock et al. (2014), MS-NLP is based on a formal grammar called augmented phrase structure, which requires t...

by Jim Ranalli, Taichi Yamashita
in Volume 26 Number 1, 2022

Agency to autonomy in mediated data-driven learning: A longitudinal study
...mark patterns, discuss findings in small groups, and collaboratively revise problematic learner examples through comparison. Human: Teacher (explicit modelling, pointing out salient pattern...

by Sun-Young Oh, Soyeon Moon
in Volume 30 Number 1, 2026

Dynamicity of EFL learners’ emotions and WTC in Human-AI interactions
...Male 17 C1 Travel experience Nick 20 Male 14 B2 Social media George 22 Male 16 B2 Luna 22 Female 16 B2 Emma 23 Female 17 C1 Sofia 22 Female 16 C1 Procedure Upon being introduced to Replika (...

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

Collaboratively interpreting GenAI output in Chinese as an Additional Language classrooms: Creating an AI-mediated translanguaging space
...mate authority over meaning-making (e.g., Godwin-Jones, 2024; Liu et al., 2025; Ou et al., 2026). Such agentic engagement positions humans, not machines, as the final decision- makers in the knowledg...

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

Feasibility of administering chatbot-based speaking assessment for low-level EFL students
...mailto:thuy.nt1@tmu.edu.vn mailto:nguyenthuyk51fbe@gmail.com?subject=My%20personal%20email%20address%20outside%20my%20institutional%20email%20 https://tmu.edu.vn/ https://hakgwa.pcu.ac.kr/gis/206/prof...

by Thuy Thi Nguyen, Jungtae Kim
in Volume 29 Number 1, 2025

A Framework for Developing Self-Directed Technology Use for Language Learning
...mated using Amos 20.0. Maximum Likelihood Estimation was used to fit the models and estimate parameters. The absolute fit indices, the χ2 statistic, the parsimonious indices, root mean square of app...

by Chun Lai
in Volume 17 Number 2, June 2013