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 91 - 100 results of 119 for Li Yang

The interplay between metalanguage, feedback, and meaning negotiation in oral interaction
...litating acquisition (Ellis et al., 2001; Gass, 2003). In fact, explicit metalinguistic feedback can benefit both implicit and explicit 14 Language Learning & Technology knowledge, as indicat...

by Laia Canals
in Volume 26 Number 1, 2022

Dissertations On Technology and L2 Learning
...ity on Students' Performance in LAN Delivered English Listening Comprehension Tests. (Doctoral dissertation, Ohio University, Athens). Retrievable from OhioLink (https://etd.ohiolink.edu/ap/1?0). &nb...

in Dissertations On Technology and L2 Learning

Enhancing the use of evidence in argumentative writing through collaborative processing of content- based automated writing evaluation feedback
...lish placement test administered by the university. Only those who achieved the intermediate-advanced English proficiency level (roughly equivalent to CEFR B2) in the test were eligible for enrollin...

by Zhan Shi, Fengkai Liu, Chun Lai, Tan Jin
in Volume 26 Number 2, June 2022 Special Issue: Automated Writing Evaluation

Dialogue systems for language learning: A meta-analysis
...licit < Explicit < Pre-set Corrective feedback None < Implicit < Explicit Primary modality Spoken / Written Population L1 Chinese / English / Farsi / Korean / Spanish / ... / Mixed Target langu...

by Serge Bibauw, Wim Van den Noortgate, Thomas François, Piet Desmet
in Volume 26 Number 1, 2022

Computer-based multimodal composing activities, self-revision, and L2 acquisition through writing
...lity. Some have interpreted the place of language in multimodality “as an attempt to side-line language” (Jewitt, 2009, p. 2). However, far from sidelining language, multimodality seeks to highlight ...

by Richmond Dzekoe
in Volume 21 Number 2, June 2017

Exploring AI-Generated text in student writing: How does AI help?
...lish Teacher (NET); CMT School’s English panel head; and a postgraduate student researching EFL writing. To establish reliability in human scoring, the NET prepared a scoring rubric (see Appendix A) ...

by David James Woo, Hengky Susanto, Chi Ho Yeung, Kai Guo, April Ka Yeng Fung
in Volume 28 Number 2, June 2024 Special Issue: Artificial Intelligence for Language Learning

Automated versus peer assessment: Effects of learners' English public speaking
...listening (Rahimi & Abedini, 2009), and speaking (Zhang et al., 2020). Zhang et al. (2019b) defined EPS self-efficacy as learners’ confidence in their ability to successfully deliver an English publ...

by Chunping Zheng, Xu Chen, Huayang Zhang, Ching Sing Chai
in Volume 28 Number 2, June 2024 Special Issue: Artificial Intelligence for Language Learning

Building the porous classroom: An expanded model for blended language learning
...life. The coronavirus pandemic has led to a public health crisis, countless grieving families, and to a social order and private lives turned upside down. Many have lost their livelihoods, as busine...

by Robert Godwin-Jones
in Volume 24 Number 3, October 2020

Toward a flipped 5E model for teaching problem-solution writing in ESL courses: A two-year longitudinal experiment
...lipped .926 23 .090 Flipped .937 23 .158 Writing_1 Non-flipped .935 23 .140 Flipped .885 23 .012 Writing_2 Non-flipped .968 23 .649 Flipped .906 23 .033 Writing_3 Non-flipped .932 23 .120 ...

by Yau Wai Lam, Khe Foon Hew, Chengyuan Jia
in Volume 26 Number 1, 2022

Teaching foreign language with conversational AI: Teacher-student-AI interaction
...litate interactions between the students and CAI. There were several instances of collaboration between the teacher and CAI during classroom facilitation. This study highlights the implications of t...

by Hyangeun Ji, Insook Han, Soyeon Park
in Volume 28 Number 2, June 2024 Special Issue: Artificial Intelligence for Language Learning