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Nazanin Adhami; Mahboubeh Taghizadeh – Computer Assisted Language Learning, 2024
The objective of this study was twofold: (a) to determine the extent to which three types of instruction could improve writing performance of railway engineering students and (b) to explore students' perceptions of flipped classroom, Edmodo, and Google Docs for improving their academic writing performance. The participants were 61 undergraduate…
Descriptors: Foreign Countries, Transportation, Engineering Education, Writing Instruction
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Awada, Ghada M.; Diab, Nuwar Mawlawi – Computer Assisted Language Learning, 2023
This study set out to examine which peer review, face-to-face given orally or online given in writing, is more effective in improving the overall argumentative writing achievement of English as a foreign language (EFL) university learners. The study utilized an experimental design and reported on one experiment including online peer review (OLPR)…
Descriptors: Peer Evaluation, Feedback (Response), English (Second Language), College Students
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Wang, Na; Chen, Juanwen; Zhang, Jingyuan – Computer Assisted Language Learning, 2022
This paper reports on the development of constructive EAP CALL courseware, and its integration into blended learning contexts, as a solution to the problems in EAP courses in Chinese universities. A case study of a defining skills package, developed for undergraduates at the University of Science and Technology Beijing (USTB), is used to…
Descriptors: English for Academic Purposes, Second Language Learning, Second Language Instruction, Courseware
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Webb, Marie; Doman, Evelyn – Computer Assisted Language Learning, 2020
This study investigates self-reported attitudes about technology-enhanced language learning in the flipped classroom across borders in three tertiary-level contexts. As a method to address students' needs for twenty-first century education, the flipped classroom pedagogical approach was chosen to explore student attitudes towards technology for…
Descriptors: Blended Learning, Student Attitudes, Computer Assisted Instruction, Foreign Countries
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Zou, Bin; Li, Hui; Li, Jiaying – Computer Assisted Language Learning, 2018
Mobile apps are broadly used by students in and after class to improve their language skills. This study aimed to investigate how a curriculum app and a social communication app can be integrated into English language teaching and learning and what sorts of tasks can be employed to enhance learners' EFL learning. A curriculum app was created by…
Descriptors: Computer Assisted Instruction, English (Second Language), Second Language Learning, Second Language Instruction
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Yeh, Hui-Chin – Computer Assisted Language Learning, 2015
Few studies have investigated how metacognitive processes foster the application of genre knowledge to students' academic writing. This is largely due to its internal and unobservable characteristics. To bridge this gap, an online writing system based on metacognition, involving the stages of planning, monitoring, evaluating, and revising, was…
Descriptors: Metacognition, Statistical Analysis, Academic Discourse, Sampling
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Lenders, Olaf – Computer Assisted Language Learning, 2008
This article is based on a PhD thesis that investigates how electronic glossing can support active vocabulary learning in English for Academic Purposes (EAP). Electronic glossing is generally acknowledged as contributing to vocabulary learning. Electronic glosses have been investigated in recent years in the areas of incidental vocabulary…
Descriptors: Reading Comprehension, Likert Scales, Vocabulary Development, English for Academic Purposes
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Kimball, Jack – Computer Assisted Language Learning, 1998
Describes an approach to needs and syllabus design that is illustrated by way of pedagogic elements comprising the learning environment of second-year Japanese college students, doctors in training, who read, discuss, and write in response to medical case studies accessed and mediated through the Internet. (Author/VWL)
Descriptors: Case Method (Teaching Technique), Cognitive Processes, College Students, Computer Assisted Instruction