NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Ma, Qing; Tang, Jinlan; Lin, Shanru – Computer Assisted Language Learning, 2022
Despite the growing popularity of corpus linguistics among researchers in recent decades, a corpus-based approach remains largely unknown to most teachers in primary and secondary schools. Drawing on Shulman's concept of pedagogical content knowledge, this study differentiated between two key terms -- corpus literacy and corpus-based language…
Descriptors: Foreign Countries, Preservice Teachers, Preservice Teacher Education, Language Teachers
Peer reviewed Peer reviewed
Direct linkDirect link
Mark Feng Teng – Computer Assisted Language Learning, 2025
Working memory (WM) may be an essential component of incidental vocabulary learning and retention from captioned videos. However, how WM affects young learners' incidental vocabulary learning under different types of captions remains unclear. The present study employs a between-subject research design. The main purpose is to examine how two types…
Descriptors: Captions, Incidental Learning, Vocabulary Development, English (Second Language)
Peer reviewed Peer reviewed
Direct linkDirect link
Ma, Qing – Computer Assisted Language Learning, 2017
Emerging mobile technologies can be considered a new form of social and cultural artefact that mediates people's language learning. This multi-case study investigates how mobile technologies mediate a group of Hong Kong university students' L2 learning, which serves as a lens with which to capture the personalised, unique, contextual and…
Descriptors: Telecommunications, Educational Technology, College Students, Case Studies
Peer reviewed Peer reviewed
Direct linkDirect link
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