Publication Date
In 2025 | 1 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 7 |
Since 2006 (last 20 years) | 7 |
Descriptor
Source
Computer Assisted Language… | 7 |
Author
Ahmet Çekiç | 1 |
Barrett, Neil E. | 1 |
Chen, Nian-Shing | 1 |
Chukharev-Hudilainen, Evgeny | 1 |
Cohen, Cathy | 1 |
Erçetin, Gülcan | 1 |
Hu, Jingjing | 1 |
Jong, Morris Siu-Yung | 1 |
Lai, Chun | 1 |
Lin, Vivien | 1 |
Liu, Gi-Zen | 1 |
More ▼ |
Publication Type
Journal Articles | 7 |
Reports - Research | 7 |
Tests/Questionnaires | 2 |
Speeches/Meeting Papers | 1 |
Education Level
Higher Education | 7 |
Postsecondary Education | 7 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
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)
Ahmet Çekiç – Computer Assisted Language Learning, 2024
Despite increasing number of studies on incidental vocabulary learning through viewing in a foreign language, glosses, which have been proven to have facilitative effects in incidental vocabulary learning via other modes of input, have remained underexplored in audiovisual input. The current study investigates the effects of (1) traditional gloss…
Descriptors: Incidental Learning, Linguistic Input, Audiovisual Instruction, Teaching Methods
A Comparative Study of Lexical Word Search in an Audioconferencing and a Videoconferencing Condition
Cohen, Cathy; Wigham, Ciara R. – Computer Assisted Language Learning, 2019
This study on online L2 interactions compares lexical word search between an audioconferencing and a videoconferencing condition. Nine upper-intermediate learners of English describe a previously unseen photograph in either the videoconferencing or the audioconferencing condition. A semantic feature analysis is adopted to compare their…
Descriptors: Computer Assisted Instruction, Second Language Instruction, Second Language Learning, English (Second Language)
Varol, Burcu; Erçetin, Gülcan – Computer Assisted Language Learning, 2021
This study explores the role of glosses and working memory capacity (WM) in second language (L2) learners' recall and comprehension in electronic reading. Glosses were investigated in terms of the type of information they provided (lexical versus topic-level) and their location on the screen (pop-up window versus separate window). One…
Descriptors: Reading Processes, Short Term Memory, Reading Comprehension, Recall (Psychology)
Lin, Vivien; Barrett, Neil E.; Liu, Gi-Zen; Chen, Nian-Shing; Jong, Morris Siu-Yung – Computer Assisted Language Learning, 2023
The field of language education has experienced a rise in using virtual reality (VR) to support interactive, contextualized, and collaborative language learning in recent years. The current study investigates the effects of auditory, visual, and textual input on speaking and writing in English for Tourism Purposes (ETP) through immersive,…
Descriptors: Tourism, English for Special Purposes, Undergraduate Students, Computer Simulation
Lai, Chun; Yeung, Yuk; Hu, Jingjing – Computer Assisted Language Learning, 2016
Helping students to become autonomous learners, who actively utilize technologies for learning outside the classroom, is important for successful language learning. Teachers, as significant social agents who shape students' intellectual and social experiences, have a critical role to play. This study examined students' and teachers' perceptions of…
Descriptors: Foreign Countries, Undergraduate Students, Student Attitudes, College Faculty
Chukharev-Hudilainen, Evgeny; Saricaoglu, Aysel – Computer Assisted Language Learning, 2016
Expressing causal relations plays a central role in academic writing. While it is important that writing instructors assess and provide feedback on learners' causal discourse, it could be a very time-consuming task. In this respect, automated writing evaluation (AWE) tools may be helpful. However, to date, there have been no AWE tools capable of…
Descriptors: Discourse Analysis, Feedback (Response), Undergraduate Students, Accuracy