Publication Date
In 2025 | 1 |
Since 2024 | 7 |
Since 2021 (last 5 years) | 19 |
Since 2016 (last 10 years) | 24 |
Since 2006 (last 20 years) | 27 |
Descriptor
Source
Computer Assisted Language… | 27 |
Author
Publication Type
Journal Articles | 27 |
Reports - Research | 27 |
Tests/Questionnaires | 7 |
Speeches/Meeting Papers | 1 |
Education Level
Higher Education | 27 |
Postsecondary Education | 25 |
Audience
Location
Taiwan | 7 |
China | 4 |
Spain | 3 |
China (Beijing) | 1 |
Colombia | 1 |
Iran | 1 |
Iran (Tehran) | 1 |
Macau | 1 |
New Zealand | 1 |
South Korea | 1 |
Turkey | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Test of English as a Foreign… | 1 |
What Works Clearinghouse Rating
Siowai Lo – Computer Assisted Language Learning, 2025
Neural Machine Translation (NMT) has gained increasing popularity among EFL learners as a CALL tool to improve vocabulary, and many learners have reported its helpfulness for vocabulary learning. However, while there has been some evidence suggesting NMT's facilitative role in improving learners' writing on the lexical level, no study has examined…
Descriptors: Translation, Computational Linguistics, Vocabulary Development, English (Second Language)
Mengtian Chen – Computer Assisted Language Learning, 2024
This article discusses whether digital visual and audio feedback in learners' own voices improves their perception and production of lexical tones in Chinese as a foreign language. Forty-four beginners participated in a four-week training focused on the pronunciation of Mandarin Chinese tones at the word level. Half received digital feedback…
Descriptors: Feedback (Response), Computer Assisted Instruction, Pronunciation Instruction, Mandarin Chinese
Peichin Chang; Pin-Ju Chen; Li-Ling Lai – Computer Assisted Language Learning, 2024
Machine Translation (MT) tools have advanced to a level of reliability such that it is now opportune to consider their place in language teaching and learning. Given their potential, the current study sought to engage EFL university sophomores in recursive editing afforded by Google Translate (GT) for one semester, and investigated (1) whether the…
Descriptors: Editing, Computer Software, Artificial Intelligence, Translation
Guoyuhui Huang; Khe Foon Hew – Computer Assisted Language Learning, 2024
Over the past two decades, the Involvement Load Hypothesis (ILH) has become a popular buzzword in the field of Second Language Acquisition (SLA). Although applications of the ILH can improve students' learning of productive vocabulary, this effect appears to be transitory. Students' learning of productive vocabulary often fades over time, as shown…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Vocabulary Development
Kessler, Matt – Computer Assisted Language Learning, 2023
Mobile-assisted language learning (MALL) has witnessed an explosion of interest from consumers and researchers. However, consumers often complain about the limited functionality of MALL applications, which typically do not allow for critical self-reflection or for users to consider different aspects of their learning such as the task itself, the…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
Nazanin Adhami; Mahboubeh Taghizadeh – Computer Assisted Language Learning, 2024
The objective of this study was twofold: (a) to determine the extent to which three types of instruction could improve writing performance of railway engineering students and (b) to explore students' perceptions of flipped classroom, Edmodo, and Google Docs for improving their academic writing performance. The participants were 61 undergraduate…
Descriptors: Foreign Countries, Transportation, Engineering Education, Writing Instruction
Yi-chen Chen – Computer Assisted Language Learning, 2024
Public speaking is considered the most anxiety-provoking speaking activity for English as a foreign language (EFL) learner. While traditional lecture-based classrooms hinder EFL learners' constant practice and frequent interaction due to large class sizes and limited time, recent developments in technology, including Artificial Intelligence (AI),…
Descriptors: Computer Assisted Instruction, Teaching Methods, Oral Language, Second Language Learning
Han, Chao; Lu, Xiaolei – Computer Assisted Language Learning, 2023
The use of translation and interpreting (T&I) in the language learning classroom is commonplace, serving various pedagogical and assessment purposes. Previous utilization of T&I exercises is driven largely by their potential to enhance language learning, whereas the latest trend has begun to underscore T&I as a crucial skill to be…
Descriptors: Translation, Computational Linguistics, Correlation, Language Processing
Yenkimaleki, Mahmood; van Heuven, Vincent J.; Moradimokhles, Hossein – Computer Assisted Language Learning, 2023
In the present study, three groups of interpreter trainees were formed, two experimental groups, i.e., blended prosody instruction (BPI) and computer-assisted prosody training (CAPT), and one control group (CON). In this experiment the participants took part in a four-week teaching program for 16 sessions (60 minutes per session), i.e., 16 hours…
Descriptors: Intonation, Suprasegmentals, Computer Software, Pronunciation Instruction
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
Tsai, Shu-Chiao – Computer Assisted Language Learning, 2022
This study investigates the effectiveness of using Google Translate as a translingual CALL tool in English as a Foreign Language (EFL) writing, keyed to the perceptions of both more highly proficient Chinese English major university students and less-proficient non-English majors. After watching a 5-minute passage from a movie, each cohort of…
Descriptors: Computer Assisted Instruction, Translation, Second Language Learning, Second Language Instruction
García-Gómez, Antonio – Computer Assisted Language Learning, 2022
By using small focus group discussions, the present study aims to gain insight into students' perceptions about the impact of WhatsApp use in their learning process. More specifically, this study presents a cross-cultural analysis of British and Spanish university students' personal beliefs about the effectiveness of using WhatsApp to complete…
Descriptors: Second Language Learning, Second Language Instruction, Computer Software, Pragmatics
Castañeda, Daniel A. – Computer Assisted Language Learning, 2021
This study was designed to explore improvement in conversational interactions by English speakers learning Spanish when exposed to task-based speaking activities in three phases. Fifty-three college students enrolled in Intermediate Spanish 1 and Intermediate Spanish 2 engaged in input activities, recorded summaries and reflections on the input…
Descriptors: Spanish, Second Language Learning, Second Language Instruction, Communicative Competence (Languages)
Chung, Eun Seon; Ahn, Soojin – Computer Assisted Language Learning, 2022
Many studies that have investigated the educational value of online machine translation (MT) in second language (L2) writing generally report significant improvements after MT use, but no study as of yet has comprehensively analyzed the effectiveness of MT use in terms of various measures in syntactic complexity, accuracy, lexical complexity, and…
Descriptors: Translation, Computational Linguistics, English (Second Language), Second Language Learning
Wang, Na; Chen, Juanwen; Zhang, Jingyuan – Computer Assisted Language Learning, 2022
This paper reports on the development of constructive EAP CALL courseware, and its integration into blended learning contexts, as a solution to the problems in EAP courses in Chinese universities. A case study of a defining skills package, developed for undergraduates at the University of Science and Technology Beijing (USTB), is used to…
Descriptors: English for Academic Purposes, Second Language Learning, Second Language Instruction, Courseware
Previous Page | Next Page »
Pages: 1 | 2