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Ghorbani, Mohammad Reza; Golparvar, Seyyed Ehsan – Computer Assisted Language Learning, 2020
The purpose of this research is to model the link between language learners' socioeconomic status (SES), their self-directed, technology-enhanced language learning, and their language achievement. The participants of this study are 382 university students taking part in a survey related to their perceptions of their self-directed,…
Descriptors: Socioeconomic Status, Technology Integration, Second Language Learning, English (Second Language)
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
Yang, Ya-Ting Carolyn; Chen, Yi-Chien; Hung, Hsiu-Ting – Computer Assisted Language Learning, 2022
The present research examined the effectiveness of digital storytelling (DST) on foreign language learners' English speaking and creative thinking. In this study, DST was realized in the form of an interdisciplinary project integrated in a partnership between an English course and a computer course, with the class time of the former devoted to the…
Descriptors: Story Telling, Teaching Methods, Interdisciplinary Approach, English (Second Language)
Zhang, Ruofei; Zou, Di – Computer Assisted Language Learning, 2022
Digital technologies have been widely used to enhance language learning, the effectiveness of which has been acknowledged in the literature. With the rapid development of digital devices and technologies, increasing technologies have been used in the most recent several years, leading to more diversified approaches to language education. This…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Teaching Methods
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
Amrate, Moustafa – Computer Assisted Language Learning, 2022
This study explores collaborative and individual computer-assisted prosody training (CAPT) through a quasi-experimental design. Eighteen adult Algerian EFL learners were recruited and randomly assigned into a control group receiving no treatment and two experimental groups, a collaborative CAPT group where the participants practiced in pairs, and…
Descriptors: Foreign Countries, Intonation, Suprasegmentals, 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
Yüksel, H. Gülru; Mercanoglu, H. Güldem; Yilmaz, M. Betül – Computer Assisted Language Learning, 2022
Growing research suggests that digital flashcards may facilitate students' technical vocabulary learning efforts. The primary purpose of this quasi-experimental study was to compare the effect of digital flashcards (DFs) and wordlists on learning technical vocabulary as well as to explore students' perceptions regarding the use of DFs. Using…
Descriptors: Educational Technology, Language Tests, Vocabulary Development, Comparative Analysis
Zhang, Ruofei; Zou, Di; Xie, Haoran – Computer Assisted Language Learning, 2022
Spaced repetition has been widely implemented and examined in mobile-assisted word learning as an important learning strategy. However, the nature of spaced repetition by commercial word-learning apps and the factors leading to the favoured mobile-assisted spaced repetition have yet to be investigated in authentic contexts. In this study, we coded…
Descriptors: Computer Assisted Instruction, Teaching Methods, English (Second Language), Second Language Learning
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
Hsu, Liwei – Computer Assisted Language Learning, 2022
The English as a foreign language (EFL) learners' levels of attention and meditation as well as brainwaves while interacting with an interlocutor in three different second-language (L2) socialization contexts--with another human in person, with another person through a virtual platform, and with an artificial intelligence (AI) chatbot--were…
Descriptors: Computer Assisted Instruction, Teaching Methods, English (Second Language), Second Language Learning
Li, Rui; Meng, Zhaokun; Tian, Mi; Zhang, Zhiyi; Ni, Chuanbin; Xiao, Wei – Computer Assisted Language Learning, 2019
Automated Writing Evaluation (AWE) has been widely applied in computer-assisted language learning (CALL) in China. However, little is known about factors that influence learners' intention to use AWE. To this end, by adding two external factors (i.e. computer self-efficacy and computer anxiety) to the technology acceptance model (TAM), we surveyed…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Automation
Mehri Kamrood, Ali; Davoudi, Mohammad; Ghaniabadi, Saeed; Amirian, Seyyed Mohammad Reza – Computer Assisted Language Learning, 2021
Dynamic Assessment (DA) is proposed as a workable diagnostic tool in second or foreign language context. Compared to traditional non-dynamic testing, DA presents a more comprehensive account of human beings' abilities through addressing both the fully internalized abilities and the abilities that are in the process of being internalized. However,…
Descriptors: Language Tests, Computer Assisted Testing, Second Language Learning, Second Language Instruction
Abe, Makoto – Computer Assisted Language Learning, 2021
Web-based writing tools, which allow multiple writers to share and edit the same document, have attracted significant attention as computer-assisted language learning tools in the past decade. However, how L2 writers contribute to the shared document as a social action for interacting with other cowriters remains underexplored in L2 research.…
Descriptors: Interaction, Interpersonal Competence, Asynchronous Communication, Computer Mediated Communication
Reynolds, Barry Lee; Kao, Chian-Wen – Computer Assisted Language Learning, 2021
Feedback researchers have given little attention to how administration of language-focused instruction before writing in a second language combined with subsequent error correction after writing can affect the grammatical accuracy of learners' future writing. Moreover, the mode of the instruction (i.e., teacher instruction or game-based…
Descriptors: Instructional Effectiveness, Direct Instruction, Second Language Instruction, Second Language Learning