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Tzu-Yu Tai – Computer Assisted Language Learning, 2024
Intelligent personal assistants (IPAs) are a valuable tool in language learning because they provide opportunities for authentic interaction. However, their effectiveness, compared with that of human interlocutors, in facilitating second and foreign language interaction has not been explored. Therefore, this study investigated the effect of IPAs…
Descriptors: Artificial Intelligence, Natural Language Processing, English (Second Language), Second Language Learning
Tzu-Yu Tai; Howard Hao-Jan Chen – Computer Assisted Language Learning, 2024
English speaking is considered the most difficult and anxiety-provoking language skill for EFL learners due to lack of access to authentic language use, fear of making mistakes, and peers' negative comments. With automatic speech recognition and natural language processing, intelligent personal assistants (IPAs) have potential in foreign language…
Descriptors: English (Second Language), Speech Communication, English Language Learners, Anxiety
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
Huang, Ping-Yu; Tsao, Nai-Lung – Computer Assisted Language Learning, 2021
In this article, we describe an online English collocation explorer developed to help English L2 learners produce correct and appropriate collocations. Our tool, which is able to visually represent relevant correct/incorrect collocations on a single webpage, was designed based on the notions of collocation clusters and intercollocability proposed…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Error Correction
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
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
Timpe-Laughlin, Veronika; Sydorenko, Tetyana; Daurio, Phoebe – Computer Assisted Language Learning, 2022
Often, second/foreign (L2) language learners receive little opportunity to interact orally in the target language. Interactive, conversation-based spoken dialog systems (SDSs) that use automated speech recognition and natural language processing have the potential to address this need by engaging learners in meaningful, goal-oriented speaking…
Descriptors: Second Language Learning, Second Language Instruction, Oral Language, Dialogs (Language)
Tham, Irwan; Chau, Meng Huat; Thang, Siew Ming – Computer Assisted Language Learning, 2020
This study seeks to understand how bilinguals process texts with lexical cues in their first language (L1) and second language (L2) using an eye-tracking methodology. Quantitative data were obtained from an eye-tracker and a post-test, while qualitative data were gathered through interviews with the participants. The findings from the eye-tracking…
Descriptors: Language Processing, Bilingualism, Second Language Learning, Second Language Instruction
Forsyth, Carol M.; Luce, Christine; Zapata-Rivera, Diego; Jackson, G. Tanner; Evanini, Keelan; So, Youngsoon – Computer Assisted Language Learning, 2019
This study investigated a new conversation-based assessment for English language learners. In this assessment, students converse with animated agents in natural language conversations to assess various aspects of English language learning. In a between subjects design, 31 students (N = 31) were asked questions by either the newly created system or…
Descriptors: English Language Learners, English (Second Language), Second Language Learning, Formative Evaluation
Goh, Tiong-Thye; Sun, Hui; Yang, Bing – Computer Assisted Language Learning, 2020
This study investigates the extent to which microfeatures -- such as basic text features, readability, cohesion, and lexical diversity based on specific word lists -- affect Chinese EFL writing quality. Data analysis was conducted using natural language processing, correlation analysis and stepwise multiple regression analysis on a corpus of 268…
Descriptors: Essays, Writing Tests, English (Second Language), Second Language Learning
Chen, Julian ChengChiang – Computer Assisted Language Learning, 2018
Driven by interactionist theory and operationalized by task-based interaction, this study aims to investigate EFL learners' task-based negotiation in Second Life (SL), a 3D multi-user virtual environment (MUVE). A group of adult EFL learners with diverse cultural/linguistic backgrounds in L1 participated in this task-based virtual class. Learners…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Assisted Instruction
Stengers, Hélène; Deconinck, Julie; Boers, Frank; Eyckmans, June – Computer Assisted Language Learning, 2016
This paper reports an experiment designed to evaluate an attempt to improve the effectiveness of an existing L2 idiom-learning tool. In this tool, learners are helped to associate the abstract, idiomatic meaning of expressions such as "jump the gun" (act too soon) with their original, concrete meaning (e.g. associating "jump the…
Descriptors: Figurative Language, Recall (Psychology), Second Language Learning, Second Language Instruction
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
Huang, Hsin-chou – Computer Assisted Language Learning, 2015
With the advancement of such Web 2.0 applications as weblogs, language learners have more opportunities to use a target language for communication purposes and to experience peer collaboration and interaction. In the search for ways to augment an EFL curriculum in which speaking practice is limited but the demand for improving oral proficiencies…
Descriptors: Web 2.0 Technologies, Semi Structured Interviews, Electronic Publishing, English (Second Language)
McBride, Kara – Computer Assisted Language Learning, 2011
This study investigated the effects of training learners of English as a foreign language with different rates of speech and controls over speech rate. Subjects were put into one of four treatment groups: (A) trained on listening comprehension materials recorded at a fast speed, (B) trained on slow recordings, (C) given some choice about the…
Descriptors: Listening Comprehension, Listening Skills, English (Second Language), Speech Communication
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