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Zhai, Na; Ma, Xiaomei – Computer Assisted Language Learning, 2022
Automated writing evaluation (AWE) has been used increasingly to provide feedback on student writing. Previous research typically focused on its inter-rater reliability with human graders and validation frameworks. The limited body of research has only discussed students' attitudes or perceptions in general. A systematic investigation of the…
Descriptors: Automation, Writing Evaluation, Feedback (Response), College Students
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Aryadoust, Vahid; Ng, Li Ying; Foo, Stacy; Esposito, Gianluca – Computer Assisted Language Learning, 2022
This is the first study to investigate the effects of test methods (while-listening performance and post-listening performance) and gender on measured listening ability and brain activation under test conditions. Functional near-infrared spectroscopy (fNIRS) was used to examine three brain regions associated with listening comprehension: the…
Descriptors: Listening Comprehension, Listening Comprehension Tests, Testing, Cognitive Processes
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Zhonggen, Yu; Ying, Zhu; Zhichun, Yang; Wentao, Chen – Computer Assisted Language Learning, 2019
After working with a number of scholars for two years, a university designed a mobile learning platform referred to as 'College English IV,' where learners could have easy access to various kinds of learning resources through installing the program in their smart phones. This study aims to identify whether this platform could significantly improve…
Descriptors: Student Satisfaction, Cognitive Processes, Difficulty Level, Telecommunications
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Ranalli, Jim – Computer Assisted Language Learning, 2018
Automated written corrective feedback (AWCF) has qualities that distinguish it from teacher-provided WCF and potentially undermine claims about its value for L2 student writers, including disparities in the amounts of useful information it provides across error types and the fact that inaccuracies in error-flagging must be anticipated. It remains…
Descriptors: Error Correction, Feedback (Response), Computer Assisted Instruction, Second Language Learning
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Chen, I-Jung; Chang, Chi-Cheng – Computer Assisted Language Learning, 2011
This study investigated whether the modality effect of content presentation modes on students' cognitive load and listening comprehension depends on the moderating effect of the learners' language proficiencies in a mobile learning context. One hundred and sixty-two students majoring in English in a technology university used personal digital…
Descriptors: Electronic Learning, Listening Comprehension, Cognitive Processes, Difficulty Level
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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