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Masumeh Sadat Seyyedrezaei; Mohammad Amiryousefi; Ana Gimeno-Sanz; Mansoor Tavakoli – Computer Assisted Language Learning, 2024
In recent years, there has been an upsurge of interest in the use of computer technologies for L2 writing instruction. Many researchers have empirically investigated the effects of the applications of educational technologies on language learners' writing performance and have highlighted the effectiveness of the use of educational technology in…
Descriptors: Computer Assisted Instruction, English (Second Language), Second Language Instruction, Writing Skills
Huiwan Zhang; Wei Wei; Yiqian Cao – Computer Assisted Language Learning, 2024
The role of computer-assisted language learning (CALL) in developing vocabulary knowledge has been investigated extensively in the field of English for Academic Purposes with positive outcomes. However, its implications for medical education, and specifically foreign languages for medical purposes, have not received much attention. This study…
Descriptors: Computer Assisted Instruction, Educational Technology, Technology Uses in Education, Medical Education
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
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
Veronika Timpe-Laughlin; Tetyana Sydorenko; Judit Dombi – Computer Assisted Language Learning, 2024
To examine the utility of spoken dialog systems (SDSs) for learning and low-stakes assessment, we administered the same role-play task in two different modalities to a group of 47 tertiary-level learners of English. Each participant completed the task in an SDS setting with a fully automated agent and engaged in the same task with a human…
Descriptors: Second Language Learning, In Person Learning, Standard Spoken Usage, Role Playing
Rustam Shadiev; Jiatian Yu – Computer Assisted Language Learning, 2024
We reviewed articles on computer-assisted language learning, focusing on intercultural education studies published in the last five years. We investigated the following aspects: (1) the theoretical foundation that the studies were based on, e.g., theory, hypothesis, model, or framework, (2) the technologies used by the participants, (3) the…
Descriptors: Multicultural Education, Computer Assisted Instruction, Teaching Methods, Second Language Learning
Nazari, Mostafa; Xodabande, Ismail – Computer Assisted Language Learning, 2022
Mobile phones are turning into a growingly widespread educational tool across various contexts. However, the scope of research on teachers' role in mobile-oriented instruction is limited, much less examining how professional development influences their associated beliefs and practices. Grounded in sociocultural theory, this study aimed to fill…
Descriptors: Faculty Development, Teacher Attitudes, Telecommunications, Handheld Devices
Chen, Chih-Ming; Li, Ming-Chaun; Lin, Mei-Feng – Computer Assisted Language Learning, 2022
This study is aimed to design a novel vocabulary learning mechanism (VLM) in the previously developed video-annotated learning and reviewing system (VALRS) that allows learners to identify unfamiliar or unknown words when listening to the video and generate personalized input enhancement from English subtitles for vocabulary learning. It is…
Descriptors: Video Technology, Captions, English (Second Language), Listening Comprehension
Jaeho Jeon – Computer Assisted Language Learning, 2024
Professionals within the field of language learning have predicted that chatbots would provide new opportunities for the teaching and learning of language. Despite the assumed benefits of utilizing chatbots in language classrooms, such as providing interactional chances or helping to create an anxiety-free atmosphere, little is known about…
Descriptors: Computer Assisted Instruction, Artificial Intelligence, Learning Analytics, Computer Software
Loncar, Michael; Schams, Wayne; Liang, Jong-Shing – Computer Assisted Language Learning, 2023
The following review incorporates a systematic selection, coding, and analysis methodology in order to compile a corpus of empirical research studies that investigate the use of technology-mediated feedback in L2 writing contexts published from 2015-2019. Trends are identified by coding and quantitatively analyzing key parameters of the corpus,…
Descriptors: Research Reports, Writing Instruction, Feedback (Response), Technology Uses in Education
Evers, Katerina; Chen, Sufen – Computer Assisted Language Learning, 2022
This study examined the difference in adults' pronunciation performance with peer feedback and individual practice when using an automatic speech recognition (ASR) system. The same ASR software was used in both the comparison (n = 31) and the experimental group (n = 33) for 12 weeks. The participants were working adults in Taiwan. During the…
Descriptors: Automation, Computer Assisted Instruction, Speech Communication, Peer Evaluation
Lim, Mei Hui; Aryadoust, Vahid – Computer Assisted Language Learning, 2022
This study sought to examine research trends in computer-assisted language learning (CALL) using a retrospective scientometric approach. Scopus was used to search for relevant publications on the topic and generate a dataset consisting of 3,697 studies published in 11 journals between 1977 and 2020. A document co-citation analysis method was…
Descriptors: Trend Analysis, Research Reports, Computer Assisted Instruction, Teaching Methods
Hellmich, Emily A. – Computer Assisted Language Learning, 2021
Recent calls from applied linguistics and from CALL have emphasized the importance of situating the understanding and use of digital tools for language learning within layered contexts. An important component of these layered contexts is societal discourses of technology, which are multiple and far from neutral. In response to these calls, this…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Student Attitudes
Sallam, Marwan H.; Martín-Monje, Elena; Li, Yan – Computer Assisted Language Learning, 2022
This study aims to explore the current published research on Language Massive Open Online Courses (LMOOCs), outlining the types of papers, countries where studies were performed and institutions devoted to this field. Also, it intends to classify the reviewed literature following a general categorisation of MOOCs, and to identify the main trends…
Descriptors: Educational Research, Educational Trends, Second Language Learning, MOOCs
Zhang, Ruofei; Zou, Di – Computer Assisted Language Learning, 2022
Technology-enhanced collaborative writing for second language learning has been receiving accumulating attention from researchers and educators over years. However, there was a lack of updated review with foci on the types and effectiveness of technologies in collaborative writing. This study conducted a systematic and in-depth review of 34…
Descriptors: Collaborative Writing, English (Second Language), Second Language Learning, Second Language Instruction
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