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Matt Kessler; Shawn Loewen; Talip Gönülal – Computer Assisted Language Learning, 2025
Despite the influx of research examining various aspects of mobile-assisted language learning (MALL) applications (apps) over the past two decades, there have been no head-to-head studies that have investigated the comparative effectiveness of different mobile apps. The current study addresses this gap by directly comparing two of the most…
Descriptors: Handheld Devices, Telecommunications, Technology Uses in Education, Second Language Learning
Jianhua Zhang; Lawrence Jun Zhang – Computer Assisted Language Learning, 2024
This study mainly explored the effects of teacher feedback, peer feedback and automated feedback on the use of metacognitive strategies in EFL writing. Ninety-seven participants were recruited and divided into three groups, who received two months of feedback from teachers, peers and an automatic writing evaluation system, respectively, and then…
Descriptors: Feedback (Response), Metacognition, English (Second Language), Second Language Learning
Chao-Jung Ko – Computer Assisted Language Learning, 2024
This study aimed to examine the impact of an online writing system (OWS) providing individualized corrective feedback (CF) on learners' self-correction of grammatical errors (GE). It consisted of two phases: the pilot and the formal phases. Four EFL (English as a Foreign Language) Taiwanese university students participated in the study at the…
Descriptors: Feedback (Response), English (Second Language), Second Language Learning, Grammar
Huang, Qiang – Computer Assisted Language Learning, 2019
Blended learning has become a popular instruction mode at all levels of education and across different subject areas in recent years. Researchers believe that paradigm shift exists in different domains of blended learning ranging from pedagogy to teacher roles. The present research, thus, used A 27-item and five-likert questionnaire (the STRI) to…
Descriptors: Blended Learning, Online Courses, Teaching Methods, College Students
Beukes, Vernita – Computer Assisted Language Learning, 2019
The research discussed in this article is specifically aimed at non-Afrikaans-speaking international students served by the Language Centre at Stellenbosch University. As a result of students who would like to become proficient in Afrikaans during their stay in South Africa, many of them choose the course "Beginner Afrikaans Vlak 1"…
Descriptors: Indo European Languages, Foreign Students, Second Language Learning, Second Language Instruction
Yang, Yu-Fen – Computer Assisted Language Learning, 2014
Research on preparing language teachers for blended teaching of summary writing, a mix of on-site and online instruction for college students to grasp the gist of the texts, is scarce in higher education. This study examined the problems encountered and solutions proposed by six language teachers, who altogether instructed 214 college students on…
Descriptors: Writing Skills, Language Teachers, Blended Learning, Teaching Methods
Zou, Bin – Computer Assisted Language Learning, 2013
Many computer-assisted language learning (CALL) studies have found that teacher direction can help learners develop language skills at their own pace on computers. However, many teachers still do not know how to provide support for students to use computers to reinforce the development of their language skills. Hence, more examples of CALL…
Descriptors: Educational Technology, English (Second Language), Foreign Countries, Speech Communication
Engwall, Olov; Balter, Olle – Computer Assisted Language Learning, 2007
The aim of this paper is to summarise how pronunciation feedback on the phoneme level should be given in computer-assisted pronunciation training (CAPT) in order to be effective. The study contains a literature survey of feedback in the language classroom, interviews with language teachers and their students about their attitudes towards…
Descriptors: Second Language Learning, Second Language Instruction, Pronunciation, Language Teachers