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Showing 11 - 18 results of 18 for Ke Li

Effects of digital game elements on engagement and vocabulary development
...ability, with most loadings exceeding 0.708; (b) acceptable internal consistency reliability, with Composite Reliability (rhoC) values for most variables above 0.700; (c) high convergent validity, w...

by Ruofei Zhang, Gary Cheng, Di Zou
in Volume 29 Number 1, 2025

Using chatbots to support EFL listening decoding skills in a fully online environment
...line learning class (N = 46) or a flipped learning class (N = 43). The students’ listening proficiency was also evaluated using the listening section of Cambridge English: Preliminary, which corres...

by Weijiao Huang, Chengyuan Jia, Khe Foon Hew, Jia Guo
in Volume 28 Number 2, June 2024 Special Issue: Artificial Intelligence for Language Learning

Exploring the relationship between L2 belongingness, personal L2 enjoyment, and willingness to communicate across language learning contexts
...line classes. Apparently, in situations where they have a strong feeling of isolation in online classes, they are less likely to exhibit WTC. L2 Willingness to Communicate Generally characteriz...

by Mehdi Solhi, Artem Zadorozhnyy, Ju Seong Lee
in Volume 30 Number 2, Special Issue: Emotional CALL

Blog posts and traditional assignments by first- and second-language writers
...lish as a Second Language (ESL) and English as a Foreign Language (EFL) test-takers. The Coh-Metrix indices of linguistic features successfully predicted human scores for both types of essays. Text ...

by Irina Elgort
in Volume 21 Number 2, June 2017

AI as a debate coach: A mixed-methods analysis of student self-efficacy and perceptions in an AI-assisted debate
...lid and detailed than human-brainstormed ones. Such a preference was likely influenced by students’ familiarity with the debate topics, which were aligned with their disciplinary backgrounds. As man...

by Joan Wan-Ting Huang
in Volume 30 Number 1, 2026

The developmental trajectory of L2 students’ positive achievement emotions and flow experience within AI-enhanced classrooms: A latent growth curve modeling (LGCM)
...lingual English learners’ achievement emotions and academic engagement through latent growth curve modeling (LGCM). International Journal of Multilingualism. Advance online publication. https://doi....

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

Exploring the relationship between electronic literacy and heritage language maintenance
...line, like the way I speak Korean has changed a little. People could always tell that I became so much better in Korean now. Like in fluency and like even understanding jokes, subtle jokes, I would ...

by Jin Sook Lee
in Volume 10 Number 2, May 2006 Special Issue on Electronic Literacy

The effectiveness of Duolingo in developing receptive and productive language knowledge and proficiency
...Likert scale (strongly disagree to strongly agree), while likelihood questions used a 0-5 scale (not likely at all to extremely likely). Participants’ ratings on these items helped identify user exp...

by Bryan Smith, Xiangying Jiang, Ryan Peters
in Volume 28 Number 1, 2024