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Poschmann, Philipp; Goldenstein, Jan – Sociological Methods & Research, 2022
Despite the recent and ongoing progress in using text-mining tools to automatically analyze large text corpora, there remains significant potential to facilitate the study of social action in social science research. In this context, particularly the disambiguation (who is referred to in a text?) and specification (which demographic…
Descriptors: Web Sites, Collaborative Writing, Reliability, Accuracy
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Martinez-Buffa, Ignacio; Safont, Pilar – Language Awareness, 2023
Research on pragmatic awareness of language learners has mainly focused on the target language. As argued by some scholars, a multilingual perspective should also be adopted in the analysis of pragmatic awareness. In fact, existing findings point to the peculiar characteristics of multilingual pragmatic comprehension and awareness. Bearing these…
Descriptors: Multilingualism, Pragmatics, Metalinguistics, Language Processing
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Musk, Nigel – Classroom Discourse, 2022
This study applies multimodal conversation analysis to examine how pupils of L2 English in Sweden make use of online translation tools (OTTs), i.e. bilingual dictionaries and Google Translate, in a range of digital collaborative writing tasks. The collection of sequences where pupils use OTTs comes from 31 hours of video-recorded data from four…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Foreign Countries
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Vakili, Shokoufeh; Ebadi, Saman – Computer Assisted Language Learning, 2022
Theoretically grounded in Vygotsky's sociocultural theory of mind, Dynamic Assessment (DA) provides researchers with the opportunity to investigate different aspects of learners' developmental trajectory, including the ways they overcome their errors. As a qualitative inquiry into the nature of errors reflecting learners' development in academic…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Assisted Testing
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Shi, Zhan; Liu, Fengkai; Lai, Chun; Jin, Tan – Language Learning & Technology, 2022
Automated Writing Evaluation (AWE) systems have been found to enhance the accuracy, readability, and cohesion of writing responses (Stevenson & Phakiti, 2019). Previous research indicates that individual learners may have difficulty utilizing content-based AWE feedback and collaborative processing of feedback might help to cope with this…
Descriptors: Writing Instruction, Writing Evaluation, Feedback (Response), Accuracy