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Gao, Ya; Pan, Lin – Language Learning Journal, 2023
Mobile-assisted language learning is a growing feature of contemporary language learning, and their distinct gamification design produces new and increasingly popular contexts for language learning. This paper explores the gamification features of the two most popular EFL vocabulary learning applications widely used by Asian learners --…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Assisted Instruction
Qian Xu; Jennifer C. Richardson – Online Learning, 2024
Scholars indicated that learners who are strategic with their language learning (e.g., selfregulated learning [SRL], cognitive and meta-cognitive strategies) tend to be more efficient, resourceful, and flexible, and thus have better language learning outcomes (Oxford, 2016; Heo et al., 2012; Plonsky, 2011). Besides focusing on the knowledge,…
Descriptors: Metacognition, Learning Strategies, Outcomes of Education, Vocabulary Development
Zhang, Ruofei; Zou, Di; Xie, Haoran – Computer Assisted Language Learning, 2022
Spaced repetition has been widely implemented and examined in mobile-assisted word learning as an important learning strategy. However, the nature of spaced repetition by commercial word-learning apps and the factors leading to the favoured mobile-assisted spaced repetition have yet to be investigated in authentic contexts. In this study, we coded…
Descriptors: Computer Assisted Instruction, Teaching Methods, English (Second Language), Second Language Learning
Yin, Qinghua; Satar, Müge – International Online Journal of Education and Teaching, 2020
Chatbots, whose potential for language learning have caused controversy among Second Language Acquisition (SLA) researchers (Atwell, 1999; Fryer & Carpenter, 2006; Fryer & Nakao, 2009; Parker, 2005, Coniam, 2014; Jia, 2004; Chantarotwong, 2005) are intelligent conversational systems stimulating human interlocutors with voice or text. In…
Descriptors: English (Second Language), Second Language Learning, Computer Mediated Communication, Content Analysis
Xu, Wenwen; Kim, Ji-Hyun – English Teaching, 2023
This study explored the role of written languaging (WL) in response to automated written corrective feedback (AWCF) in L2 accuracy improvement in English classrooms at a university in China. A total of 254 freshmen enrolled in intermediate composition classes participated, and they wrote 4 essays and received AWCF. A half of them engaged in WL…
Descriptors: Grammar, Accuracy, Writing Instruction, Writing Evaluation
Xu, Yi – Interpreter and Translator Trainer, 2023
The research on interpreting aptitude has focused on the abilities, skills and personal traits of individuals in order to predict their future interpreting performance. However, an important variable between the personal characteristics and success of trainee interpreters in interpreter training, which is instructional practices, is overlooked.…
Descriptors: Prediction, Language Aptitude, Feedback (Response), Short Term Memory
Linlin, Cao – English Language Teaching, 2020
Through Many-Facet Rasch analysis, this study explores the rating differences between 1 computer automatic rater and 5 expert teacher raters on scoring 119 students in a computerized English listening-speaking test. Results indicate that both automatic and the teacher raters demonstrate good inter-rater reliability, though the automatic rater…
Descriptors: Language Tests, Computer Assisted Testing, English (Second Language), Second Language Learning
Xue, Sijia; Churchill, Daniel – Computer Assisted Language Learning, 2022
The educational potential of mobile and social media technologies in combination is becoming increasingly salient with the advance of modern technology. However, there is a dearth in the research on educational use of mobile social media for language learning. This study adopted a qualitative single case study approach to investigate a language…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Student Centered Learning
Huang, Shu; Renandya, Willy A. – Innovation in Language Learning and Teaching, 2020
This article reports on an exploratory study which investigated the impact of automated feedback in a writing class among some Chinese EFL university learners who were at a lower language level. In particular, the study explored the students' perceptions of Pigai, the largest and most popular locally designed automated writing evaluation system…
Descriptors: English (Second Language), College Students, Second Language Learning, Second Language Instruction
MacLeod, Jason; Yang, Harrison Hao; Zhu, Sha; Shi, Yinghui – Journal of Educational Computing Research, 2018
In an effort to address student engagement challenges, much research has explored student-to-student connected classroom climate (CCC). Research positively associates CCC to the benefits of student integration, learning, and retention in face-to-face environments. However, few studies have examined CCC in computer-mediated environments. This study…
Descriptors: Classroom Environment, Computer Networks, Computer Software, Computer Mediated Communication
Ma, Xingxing; Yodkamlue, Butsakorn – PASAA: Journal of Language Teaching and Learning in Thailand, 2019
This study investigated the effects of a self-developed mobile app on Chinese university EFL learners' vocabulary learning and retention. Their perceptions of the mobile app were also explored. Data were collected using mixed methods. The results can be summarized as follow: firstly, the students using the mobile app could learn more words than…
Descriptors: Vocabulary Development, Computer Software, Asians, College Students
Shi, Zhan; Liu, Fengkai; Lai, Chun; Jin, Tan – Language Learning & Technology, 2022
Automated Writing Evaluation (AWE) systems have been found to enhance the accuracy, readability, and cohesion of writing responses (Stevenson & Phakiti, 2019). Previous research indicates that individual learners may have difficulty utilizing content-based AWE feedback and collaborative processing of feedback might help to cope with this…
Descriptors: Writing Instruction, Writing Evaluation, Feedback (Response), Accuracy
Qian, Kan; Tang, Jinlan – International Journal of Computer-Assisted Language Learning and Teaching, 2018
Guided by the conceptual framework for next generation designs for mobile-assisted language learning (MALL) in informal setting, our study investigates how mobile devices impact the learning practices and habits amongst adult distant learners of English at a higher education institution in China. Data sources include quantitative data of 148…
Descriptors: Telecommunications, Handheld Devices, Teaching Methods, Second Language Learning
Mason, Amanda; Wenxin, Zhang – Research-publishing.net, 2017
At present, there are few studies which explore the learning strategies employed by students of Chinese as a Foreign Language (CFL) and even fewer that focus specifically on mobile application use. This study provides insights into how adult learners at varying levels of proficiency employ mobile apps to support their Chinese character learning.…
Descriptors: Telecommunications, Handheld Devices, Second Language Learning, Second Language Instruction
Dai, Guiyu; Liu, Yang; Cui, Shanmeng – English Language Teaching, 2018
This paper uses Edgar Dale's Audio-visual Learning Theory and Jean Piaget's Constructionist Learning Theory as the theoretical framework to conduct two control experimental tests and a questionnaire research to investigate students' impression and expectations toward WeChat public account based mobile learning mode as well as its validity,…
Descriptors: Telecommunications, Handheld Devices, Control Groups, Learning Theories
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