LANGUAGE LEARNING & TECHNOLOGY
A refereed journal for L2 researchers and educators interested in the role of technology in advancing language learning and teaching.

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Showing 611 - 620 results of 746 for He

Automated written corrective feedback: Error-correction performance and timing of delivery
...he readings and their own views on the topic. The essays were written in the Canvas learning management system in a text-entry tool with no automated checking enabled. The total number of words in t...

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

Generative AI and metaverse in developing pre-service teachers’ content knowledge
...hen synthesized at the theme level, while themes were refined through complementary comparison rather than source-specific separation. Inter-coder agreement for the double-coded subset reached Cohe...

by Seongyong Lee, Jaeho Jeon
in Volume 30 Number 1, 2026

Generative AI, visual scaffolds, and metacognition in EFL writing
...he use of ANCOVA for the posttest analysis. After the intervention, the GAI-VGP group demonstrated a higher adjusted mean score on the post-test (Adj. M = 67.94) compared to the cVGP group (Adj. M...

by Mei-Rong Alice Chen
in Volume 30 Number 1, 2026

AI literacy in L2 writing and its association with L2 writing engagement
...hey have not developed questionnaires grounded in their respective AI literacy frameworks. Therefore, Chenxi Du and Yingli Yang 3 whether the dimensions they propose about AILL2W demo...

by Chenxi Du, Yingli Yang
in Volume 30 Number 1, 2026

Effects of mobile-assisted language learning on foreign language learners’ speaking skill development
...he identification of the publications, the characteristics of the participants, theoretically relevant features of the study and measured variables”. Detailed information for the proposed code schem...

by Rui Li
in Volume 28 Number 1, 2024

Comparability of Conventional and Computerized Tests of Reading in a Second Language
...he studies (Reinking, 1988; Zuk, 1986) counter-balanced the order of text presentation, while the others either presented the texts in the same order or did not report whether the order effect was con...

by Yasuyo Sawaki
in Volume 05 Number 2, May 2001 Special Issue Computer-Assisted Language Testing

Applications of Text Analysis Tools for Spoken Response Grading
...hesitations. To assess the delivery of the participants, we used CPIDR to count the number of ideas and the number of words in the sample. The number of ideas and words relates to the flow of the sp...

by Scott Crossley, Danielle McNamara
in Volume 17 Number 2, June 2013

Chasing the butterfly effect: Informal language learning online as a complex system
...he learner is not building towards an ideal version of the language which exists in abstract. Rather, the learner is building on and out of his perception of the usage of the language heard in the mo...

by Robert Godwin-Jones
in Volume 22 Number 2, June 2018 Special Issue on Qualitative Research in CALL

The developmental trajectory of L2 students’ positive achievement emotions and flow experience within AI-enhanced classrooms: A latent growth curve modeling (LGCM)
...hey were fully informed about their rights and the study’s objectives. Following the consent process, the study proceeded with the pre-intervention assessment. After the initial assessment, the expe...

by Lili Qin, Ali Derakhshan
in Volume 30 Number 2, Special Issue: Emotional CALL

Enhancing college students’ listening performance and self-efficacy using mobile annotated vlogs
...hension. The captioned vlog group reported that although captions helped them follow the audio, unfamiliar lexical items disrupted comprehension, whereas the annotated vlog group indicated that textu...

by Hui-Tzu Hsu
in Volume 30 Number 1, 2026