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‘Same, same but different’:representations of Chinese mainland and Hong Kong people in the press in post-1997 Hong Kong
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Tapping into non-English-language science for the conservation of global biodiversity
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Study of central exclusive [Image: see text] production in proton-proton collisions at [Formula: see text] and 13TeV
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In: Eur Phys J C Part Fields (2020)
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Introducing in-service English language teachers to data-driven learning for academic writing
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Abstract:
Corpora are widely used in the creation of language learning and teaching materials, such as dictionaries, grammar books, textbooks, and vocabulary lists. Little work, however, has focused on how the DDL approach might be introduced successfully into a teacher training program. In this paper, we describe the background, implementation, and results of a DDL-focused teacher training workshop that is designed to introduce a corpus-assisted academic writing pedagogy to in-service English language educators in Hong Kong. To evaluate the success of the workshop and gain further insights on factors that might lead to instructors accepting or rejecting the approach, we administered a questionnaire to participants after the workshop and carried out a statistical analysis of the responses. Results revealed that participants generally had a positive experience of the training. Based on correlation tests, the results also showed that factors such as prior knowledge of corpora, prior experience in using corpora, motivation for professional development, and teaching experience, correlated significantly with teachers’ perceptions of the difficulties in using corpus tools and an inclination to integrate data-driven learning in their future teaching. The findings may be related to broader research on teacher attitudes to the adoption of technology in the classroom.
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URL: https://eprints.lancs.ac.uk/id/eprint/137714/ https://doi.org/10.1016/j.system.2019.102148
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A critical review of research and practice in data-driven learning (DDL) in the academic writing classroom
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Search for dark matter produced in association with heavy-flavor quark pairs in proton-proton collisions at [Formula: see text]
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An analysis of machine- and human-analytics in classification
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In: Symplectic Elements at Oxford ; Added by author ; ORA review team (2016)
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Classifying questions into fine-grained categories using topic enriching
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Interaction between auditory and motor systems in speech perception
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In: Symplectic Elements at Oxford ; CrossRef ; ORA review team (2014)
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Comparing three designs of macro-glyphs for poetry visualization
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Basal insulin and cardiovascular and other outcomes in dysglycemia.
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In: New England Journal of Medicine, vol. 367, no. 4, pp. 319-328 (2012)
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n-3 fatty acids and cardiovascular outcomes in patients with dysglycemia.
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In: New England Journal of Medicine, vol. 367, no. 4, pp. 309-318 (2012)
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Informedia at TRECVID 2003: Analyzing and Searching Broadcast News Video
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In: DTIC (2004)
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