NotesFAQContact Us
Collection
Advanced
Search Tips
Source
Computer Assisted Language…55
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 55 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Xu, Yiqin – Computer Assisted Language Learning, 2023
Despite repeated calls for the integration of digital multimodal composing (DMC) into English as a foreign language (EFL) teaching, the effect of the pedagogical use of DMC has been rarely investigated in the EFL context. Even less is known about the effects of DMC on students' L2 writing development. This study aims to address this issue by…
Descriptors: Educational Technology, English (Second Language), Second Language Instruction, Writing (Composition)
Peer reviewed Peer reviewed
Direct linkDirect link
Chen Chen; Yifeng Yuan – Computer Assisted Language Learning, 2025
This study explores the effectiveness of Virtual Reality (VR) in Chinese as a second language (CSL) vocabulary learning from the international students' perspective. A new theoretical framework of VR-based vocabulary learning was designed and verified to serve the investigation. A total of 30 international students learning CSL in a Chinese…
Descriptors: Second Language Learning, Second Language Instruction, Vocabulary Development, Computer Simulation
Peer reviewed Peer reviewed
Direct linkDirect link
Tanjun Liu; Dana Gablasova – Computer Assisted Language Learning, 2025
Collocations, a crucial component of language competence, remain a challenge for L2 learners across all proficiency levels. While the data-driven learning (DDL) approach has shown great potential for collocation learning from a shorter-term perspective, this study investigates its effectiveness in the long term, examining both linguistic gains and…
Descriptors: Phrase Structure, Learning Analytics, English (Second Language), Second Language Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Shen Qiao; Samuel Kai Wah Chu; Susanna Siu-sze Yeung – Computer Assisted Language Learning, 2025
Morphological analysis is a form of problem solving to work out the meanings of unfamiliar words by applying knowledge of morphemes. It has emerged recently as an important predictor of reading comprehension. However, while gamification can potentially be used to teach this skill, few studies have examined its use. To address this, a…
Descriptors: Game Based Learning, English (Second Language), Second Language Learning, Second Language Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Yuanlan Jiang; Jian-E Peng – Computer Assisted Language Learning, 2025
Language learner engagement, which is receiving increased attention, has predominantly focused on offline classroom contexts, while learner engagement in language Massive Open Online Courses (LMOOCs) remains under-explored. This study was conducted on a College English MOOC with the purpose of examining learner engagement and its relations with…
Descriptors: Learner Engagement, Personal Autonomy, Second Language Learning, Second Language Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Li, Juan; Jiang, Hongquan; Shang, Aihua; Chen, Jingli – Computer Assisted Language Learning, 2021
Associative learning strategy (ALS) is an important means of acquiring vocabulary--especially in L2 learning. This study proposes a method to identify the associative learning mechanism based on complex network theory. First, a distributed association strategy (DAS) for the associative learning of L2 learners based on distributed language learning…
Descriptors: Associative Learning, Second Language Learning, Vocabulary, Learning Strategies
Peer reviewed Peer reviewed
Direct linkDirect link
Guangxiang Liu; Chaojun Ma; Jie Bao; Zhixin Liu – Computer Assisted Language Learning, 2025
Utilizing a structural equation modeling approach, this article aims to examine the dynamics between Informal Digital Learning of English (IDLE) and Intercultural Competence (ICC). Altogether, 1490 Chinese college students from different types of universities in China answered the self-developed and validated IDLE-ICC questionnaire. The results…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Intercultural Communication
Peer reviewed Peer reviewed
Direct linkDirect link
Yue Zhang; Guangxiang Liu – Computer Assisted Language Learning, 2024
Informal digital learning of English (IDLE) is an increasingly important subfield of inquiry in Computer-Assisted Language Learning (CALL) for its concentration on the language learning practices of the digital native EFL students in out-of-class contexts. Attention in mainstream research of IDLE has been directed to (meta)cognition, learning…
Descriptors: Informal Education, English (Second Language), Second Language Learning, Second Language Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Dai, Yuanjun; Wu, Zhiwei – Computer Assisted Language Learning, 2023
Although social networking apps and dictation-based automatic speech recognition (ASR) are now widely available in mobile phones, relatively little is known about whether and how these technological affordances can contribute to EFL pronunciation learning. The purpose of this study is to investigate the effectiveness of feedback from peers and/or…
Descriptors: Educational Technology, Technology Uses in Education, Telecommunications, Handheld Devices
Peer reviewed Peer reviewed
Direct linkDirect link
Jingjing Zhu; Xi Zhang; Jian Li – Computer Assisted Language Learning, 2024
Traditional L2 pronunciation teaching puts too much emphasis on explicit phonological knowledge ('knowing that') rather than on procedural knowledge ('knowing how'). The advancement of mobile-assisted language learning (MALL) offers new opportunities for L2 learners to proceduralize their declarative articulatory knowledge into production skills…
Descriptors: Artificial Intelligence, Technology Uses in Education, Pronunciation Instruction, Second Language Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Sun, Peijian Paul; Mei, Bing – Computer Assisted Language Learning, 2022
This study focuses on preservice Chinese-as-a-second/foreign-language (L2 Chinese) teachers with a theoretical perspective based on prior technology acceptance research in the educational context, to investigate factors influencing preservice L2 Chinese teachers' intention to use educational technology in their future classrooms. Six relevant…
Descriptors: Chinese, Second Language Instruction, Preservice Teachers, Language Teachers
Peer reviewed Peer reviewed
Direct linkDirect link
Yu, Jie; Zhou, Xing; Yang, Xiaoming; Hu, Jie – Computer Assisted Language Learning, 2022
The issues of whether mobile-assisted English as a foreign language (EFL) reading is effective have become increasingly important for EFL teachers and policy-makers. However, empirical studies investigating EFL students' reading comprehension performance on mobile phones and students' perceptions of these reading formats are lacking. The present…
Descriptors: English (Second Language), Second Language Instruction, Telecommunications, Handheld Devices
Peer reviewed Peer reviewed
Direct linkDirect link
Jiang, Lianjiang; Zang, Ning; Zhou, Nan; Cao, Hongjian – Computer Assisted Language Learning, 2022
While the role of flipped teaching in students' language performance is well documented, English teachers' perspective about flipped teaching remains underexplored. Informed by the self-determination theory and the motivation-opportunity-ability theory, this study examined English teachers' intention to use flipped teaching and its…
Descriptors: English (Second Language), Language Teachers, Second Language Instruction, Intention
Peer reviewed Peer reviewed
Direct linkDirect link
Chengyuan Jia; Khe Foon Hew; Mingting Li – Computer Assisted Language Learning, 2025
Listening is a major challenge for many English-as-a-foreign language (EFL) learners. Decoding training, which helps learners develop the ability to recognize words from speech, is frequently used to assist EFL learners. Although recent empirical studies on decoding training have provided positive evidence on its effectiveness in improving EFL…
Descriptors: Flipped Classroom, Second Language Learning, Second Language Instruction, Teaching Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Xinghua Wang; Hui Pang; Matthew P. Wallace; Qiyun Wang; Wenli Chen – Computer Assisted Language Learning, 2024
This study investigated the application of an artificial intelligence (AI) coach for second language (L2) learning in a primary school involving 327 participants. In line with Community of Inquiry, learners were expected to perceive social, cognitive, and teaching presences when interacting with the AI coach, which was considered a humanized…
Descriptors: Artificial Intelligence, Second Language Instruction, Second Language Learning, Student Attitudes
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4