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Wei, Wei; Zheng, Ying – Computer Assisted Language Learning, 2017
This research provided a comprehensive evaluation and validation of the listening section of a newly introduced computerised test, Pearson Test of English Academic (PTE Academic). PTE Academic contains 11 item types assessing academic listening skills either alone or in combination with other skills. First, task analysis helped identify skills…
Descriptors: Listening Comprehension Tests, Computer Assisted Testing, Language Tests, Construct Validity
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Crosthwaite, Peter – Computer Assisted Language Learning, 2017
An increasing number of studies have looked at the value of corpus-based data-driven learning (DDL) for second language (L2) written error correction, with generally positive results. However, a potential conundrum for language teachers involved in the process is how to provide feedback on students' written production for DDL. The study looks at…
Descriptors: Feedback (Response), Error Correction, Morphology (Languages), Syntax
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Pham, Vu Phi Ho; Usaha, Siriluck – Computer Assisted Language Learning, 2016
Few studies have been conducted to see how blog-based peer response helps students to improve their writing revisions. The present study investigates peer comments made through blogs, the nature of the comments and their areas of focus, and the ratios of students incorporating suggestions made through blog-based comments into revisions of their…
Descriptors: Second Language Learning, Electronic Publishing, Revision (Written Composition), Writing (Composition)
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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