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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
Tan, Chia-Chen; Chen, Chih-Ming; Lee, Hahn-Ming – Computer Assisted Language Learning, 2020
A number of prominent educators have confirmed that developing learners' metacognitive strategies about listening is an important way of helping them learn how to listen to improve their listening. With the rapid development of information and communication technologies, many listening training systems provide various types of help options in…
Descriptors: Metacognition, Teaching Methods, Learning Strategies, Listening Skills
Booton, Sophie A.; Hodgkiss, Alex; Murphy, Victoria A. – Computer Assisted Language Learning, 2023
Mobile touchscreen applications present new opportunities for children's language learning. This systematic review synthesizes the evidence on the impact of features of mobile applications on children's language learning. Experimental studies published from 2010 onwards with children aged 3 to 11 years old were included. Of the 1,081 studies…
Descriptors: Telecommunications, Handheld Devices, Second Language Instruction, Second Language Learning
García Botero, Gustavo; Botero Restrepo, Margarita Alexandra; Zhu, Chang; Questier, Frederik – Computer Assisted Language Learning, 2021
Learners need diligence when going solo in technology-enhanced learning environments. Nevertheless, self-regulation and scaffolding are two under-researched concepts when it comes to mobile learning. To tackle this knowledge gap, this study focuses on self-regulation and scaffolding for mobile assisted language learning (MALL). Fifty-two students…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
Jia, Chengyuan; Hew, Khe Foon Timothy – Computer Assisted Language Learning, 2022
Lower-level processes have long been overlooked in EFL listening pedagogy. To address this pervasive problem, in this study, a program was designed that integrated WeChat, the most popular mobile instant messaging app in China, into dictation practice. Students in two classes studying a compulsory university EFL course were selected as…
Descriptors: Computer Software, Second Language Learning, Second Language Instruction, English (Second Language)
Sad, Süleyman Nihat; Özer, Niyazi; Yakar, Ümit; Öztürk, Fatih – Computer Assisted Language Learning, 2022
The purpose of this paper is to investigate the views of freshmen on using their smartphones in learning English as a foreign language. The study was designed based on a quantitative associational model. The data were collected from the 428 freshmen attending the English preparation programs run at Inönü and Firat Universities, Turkey, using…
Descriptors: Telecommunications, Second Language Learning, Second Language Instruction, Measures (Individuals)
Patten, Iomi; Edmonds, Lisa A. – Computer Assisted Language Learning, 2015
The present study examines the effects of training native Japanese speakers in the production of American /r/ using spectrographic visual feedback. Within a modified single-subject design, two native Japanese participants produced single words containing /r/ in a variety of positions while viewing live spectrographic feedback with the aim of…
Descriptors: Japanese, English (Second Language), Second Language Instruction, Visual Stimuli