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

Search

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Ç Ł Ş

Showing 21 - 30 results of 37 for Yin

Technology-specific L2 motivational quality and persistence in mobile-assisted language learning: A self-determination theory perspective
...ying motivational dynamics that shape how learners initiate and sustain learning beyond the classroom. Within this landscape, self-determination theory (SDT; Ryan & Deci, 2017), as a meta-theory of ...

by Hyun-Bin Hwang
in Volume 30 Number 1, 2026

Ubiquitous learning: Determinants impacting learners’ satisfaction and performance with smartphones
...ying that the items in the measurement model measure the same variable. The results for item reliability indicate that all items exceeded the accepted threshold, implying that the items were suffici...

by Hee-Jung Jung
in Volume 18 Number 3, October 2014

Enhancing student researchers’ move construction in literature review writing through genre learning supported by corpus-based language pedagogy
...ying The applying stage involved participants completing the four lessons and then applying the acquired LRW skills and corpus knowledge to revise their pre-course literature reviews. Following Flow...

by Jiahao Yan, Qing Ma, Pascual Pérez-Paredes
in Volume 30 Number 1, 2026

Computer-based multimodal composing activities, self-revision, and L2 acquisition through writing
...Yin, 2009, p. 50). Six main focal students were selected for in-depth analysis—two from each group. They were given the following pseudonyms: Shirley and Lenard represented Group A; Felicity and Ton...

by Richmond Dzekoe
in Volume 21 Number 2, June 2017

Pre-service EFL teachers’ online participation, interaction, and social presence
...ying total number of posts, average number of posts per student, and range of posts per student. They identified an uneven amount of participation among students and low instructor participation. Mo...

by H. Müge Satar, Sumru Akcan
in Volume 22 Number 1, February 2018

Moving from off-the-shelf chatbots to a user-designed bespoke L2 chatbot
...ying user-friendly platforms to develop their own chatbots, with Google’s Dialogflow (https://cloud.google.com/dialogflow) being the most extensively used (e.g., Kim et al., 2022; Kohnke, 2023; Lee ...

by Dongkwang Shin, Jang Ho Lee
in Volume 28 Number 1, 2024

Design principles and architecture of a second language learning chatbot
...ying program needs to satisfy these conditions. Figure 1 illustrates Kojouharov’s (2016) taxonomy of a chatbot model, which elucidates the challenges in achieving free-flowing and accurate responses...

by Heyoung Kim, Hyejin Yang, Dongkwang Shin, Jang Ho Lee
in Volume 26 Number 1, 2022

Smartphones and language learning
...ying games. The Internet and the web are accessed through browsers, and increasingly, through mobile apps. Third-party apps extend ad infinitum device functionality. Some of these functions were av...

by Robert Godwin-Jones
in Volume 21 Number 2, June 2017

Flipping EFL learners’ writing classroom through role-reversal and discussion-oriented models
...ying in-class instructional videos and students are engaged in a discussion session related to the session’s topic. Homework does not consist of the tasks teachers traditionally give their students ...

by Hanieh Shafiee Rad, Ali Roohani, Masoud Rahimi Domakani
in Volume 25 Number 2, June 2021

Effects of learner uptake following automatic corrective recast from Artificial Intelligence chatbots on the learning of English caused-motion construction
...ying corrective recast: Corrective recast is operationally defined as providing multiple CFs (e.g., prompt, recast) in dealing with a learner’s persistent production of error within an interactional...

by Rakhun Kim
in Volume 28 Number 2, June 2024 Special Issue: Artificial Intelligence for Language Learning