Genre-based AWE system for engineering graduate writing: Development and evaluation Feng, Hui-Hsien Chukharev-Hudilainen, Evgeny 2022-06-10T02:15:31Z 2022-06-10T02:15:31Z 2022 2022-06-10
dc.description.abstract Automated writing evaluation (AWE) systems have been introduced to ESL/EFL classes in the hopes of reducing teachers' workloads and improving students' writing by providing instant holistic scores and corrective feedback (Jiang & Yu, 2020; Link et al., 2014; Ranalli & Yamashita, 2019; Warschauer & Ware, 2006). When it comes to genre-specific writing, general AWE feedback may be insufficient because communicative purposes should be achieved, for which feedback is needed beyond grammar and mechanics. However, very few genre-specific AWE systems based on rhetorical move analysis have been developed. Therefore, the present study reports on the development and evaluation of a genre-based AWE system to facilitate Taiwanese engineering graduate students' writing of research abstracts. This AWE system provides automated feedback on two linguistic features, lexical bundles and grammatical categories of verbs (i.e., tense, aspect, and voice), associated with moves in abstracts. The feedback was designed to be co-constructed between learners and computers in order to promote interaction. The effectiveness of the AWE system was evaluated following Chapelle's (2001) computer-assisted language learning evaluation framework. The findings revealed positive effects; with appropriate guidance, the AWE system was able to draw participants' attention to and enhanced their use of these two linguistic features to achieve the communicative purposes of rhetorical moves in their abstracts.
dc.format Article
dc.identifier.citation Feng, H.–H., & Chukharev-Hudilainen, E. (2022). Genre-based AWE system for engineering graduate writing: Development and evaluation. Language Learning & Technology, 26(2), 58–77.
dc.identifier.issn 1094-3501
dc.language eng
dc.publisher University of Hawaii National Foreign Language Resource Center
dc.publisher Center for Language & Technology
dc.publisher (co-sponsored by Center for Open Educational Resources and Language Learning, University of Texas at Austin)
dc.rights.license Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
dc.subject Automated Writing Evaluation, Genre-based Pedagogy, Lexical Bundles, Grammatical Categories of Verbs
dc.title Genre-based AWE system for engineering graduate writing: Development and evaluation
dc.type Article
dcterms.type Text
prism.endingpage 77
prism.number 2
prism.publicationname Language Learning & Technology
prism.startingpage 58
prism.volume 26
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