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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
Zhai, Na; Ma, Xiaomei – Computer Assisted Language Learning, 2022
Automated writing evaluation (AWE) has been used increasingly to provide feedback on student writing. Previous research typically focused on its inter-rater reliability with human graders and validation frameworks. The limited body of research has only discussed students' attitudes or perceptions in general. A systematic investigation of the…
Descriptors: Automation, Writing Evaluation, Feedback (Response), College Students
Amir Reza Rahimi – Computer Assisted Language Learning, 2025
A research study on the L2 Motivational Self-systems (L2MSS) and technology acceptance of Foreign Language Learners (EFL) in relation to Language Massive Open Online Courses (LMOOCs) is warranted. In response, 336 Iranian EFL learners participated in three LMOOC platforms, learned language online in line with their language institutes, and…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, MOOCs
Azizullah Mirzaei; Hanieh Shafiee Rad; Ebrahim Rahimi – Computer Assisted Language Learning, 2024
The Attention, Relevance, Confidence, and Satisfaction (ARCS) model provides a basis for integrating motivational dynamics and technological affordances into the design and implementation of instructions to maintain learner motivation and interest. Little attention has been paid to this potential in teaching the complex and often demotivating…
Descriptors: Flipped Classroom, English (Second Language), Second Language Learning, Second Language Instruction
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
Pham, V. P. Ho – Computer Assisted Language Learning, 2021
Earlier research efforts have succeeded in training students to enhance their skills commenting on peer writing and using peer and lecturer comments to revise their writing, but few studies have investigated (1) the effect of the lecturer's e-comments on the quality of peer e-comments, and (2) the relative effectiveness of lecturer and peer…
Descriptors: Feedback (Response), Graduate Students, Peer Evaluation, Revision (Written Composition)
Rafiee, Marzieh; Abbasian-Naghneh, Salman – Computer Assisted Language Learning, 2021
In recent decades, the rapid advances in technology have led many researchers to investigate the factors influencing its successful implementation in different fields. The current study, hence, aimed to identify the factors affecting e-learning acceptance and readiness in the context of foreign language learning. By reviewing the related…
Descriptors: Electronic Learning, Models, Technology Integration, Readiness
Intercultural Learning through Chinese-American Telecollaboration: Results of a Song Sharing Project
Han Luo; Pan Gao – Computer Assisted Language Learning, 2024
This study reports on the results of a semester-long Chinese-American telecollaborative exchange via WeChat, in which students from China and the U.S. shared thematically similar songs in their respective languages and discussed relevant cultural topics that were suggested by the students. Various types of qualitative data collected from the…
Descriptors: Computer Mediated Communication, Intercultural Communication, Computer Software, Group Discussion
Hong, Jon-Chao; Hwang, Ming-Yueh; Tai, Kai-Hsin; Lin, Pei-Hsin – Computer Assisted Language Learning, 2021
Remote association requires players to use their mental transformation to identify objects' relationships by activating knowledge application. A Chinese Remote Association game was designed (example question: [characters omitted], where the answer is [character omitted]) to explore learners' cognitive and affective effects, and then eighth grade…
Descriptors: Computer Games, Grade 8, Telecommunications, Handheld Devices
Bai, Barry; Wang, Jing; Chai, Ching-Sing – Computer Assisted Language Learning, 2021
There has been an increasing concern on teachers' adoption of information and communication technology (ICT) in their teaching practices. However, little has been explored about English as a second language (ESL) teachers' ICT adoption. This study synthesizes the technology acceptance model (TAM), the value-expectancy theory, and a learning…
Descriptors: Elementary School Teachers, Second Language Learning, Second Language Instruction, English (Second Language)
Hsu, Liwei – Computer Assisted Language Learning, 2016
This study aims to explore the structural relationships among the variables of EFL (English as a foreign language) learners' perceptual learning styles and Technology Acceptance Model (TAM). Three hundred and forty-one (n = 341) EFL learners were invited to join a self-regulated English pronunciation training program through automatic speech…
Descriptors: Pronunciation, Pronunciation Instruction, Cognitive Style, Statistical Analysis
Lai, Chun; Hu, Xiao; Lyu, Boning – Computer Assisted Language Learning, 2018
Out-of-class learning with technology comprises an essential context of second language development. Understanding the nature of out-of-class language learning with technology is the initial step towards safeguarding its quality. This study examined the types of learning experiences that language learners engaged in outside the classroom and the…
Descriptors: Second Language Learning, Learning Experience, Incentives, Interviews
Yang, Juan; Thomas, Michael S. C.; Qi, Xiaofei; Liu, Xuan – Computer Assisted Language Learning, 2019
From a psycholinguistic perspective of view, there are many cognitive differences that matter to individuals' second-language acquisition (SLA). Although many computer-assisted tools have been developed to capture and narrow the differences among learners, the use of these strategies may be highly risky because changing the environments or the…
Descriptors: Foreign Countries, Cognitive Ability, Phonological Awareness, English Teachers
Ballance, Oliver James – Computer Assisted Language Learning, 2017
One of the most promising avenues of research in computer-assisted language learning is the potential for language learners to make use of language corpora. However, using a corpus requires use of a corpus tool as an interface, typically a concordancer. How such a tool can be made most accessible to learners is an important issue. Specifically,…
Descriptors: Teaching Methods, Indexes, Multivariate Analysis, Classification
Slavuj, Vanja; Meštrovic, Ana; Kovacic, Božidar – Computer Assisted Language Learning, 2017
Adaptive and intelligent instructional systems are used to deal with the issue of learning personalisation in contexts where human instructors are not immediately available, so their role is transferred entirely or in part onto the computer. Even though such systems are mostly developed for well-defined domains that have a rather straightforward…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Intelligent Tutoring Systems
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