Assessing Writing

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modern rhetorical theory ×

January 2024

  1. A mixed Rasch model analysis of multiple profiles in L2 writing
    Abstract

    The present study used the Mixed Rasch Model (MRM) to identify multiple profiles in L2 students’ writing with regard to several linguistic features, including content, organization, grammar, vocabulary, and mechanics. To this end, a pool of 500 essays written by English as a foreign language (EFL) students were rated by four experienced EFL teachers using the Empirically-derived Descriptor-based Diagnostic (EDD) checklist. The ratings were subjected to MRM analysis. Two distinct profiles of L2 writers emerged from the sample analyzed including: (a) Sentence-Oriented and (b) Paragraph-Oriented L2 Writers. Sentence-Oriented L2 Writers tend to focus more on linguistic features, such as grammar, vocabulary, and mechanics, at the sentence level and try to utilize these subskills to generate a written text. However, Paragraph-Oriented Writers are inclined to move beyond the boundaries of a sentence and attend to the structure of a whole paragraph using higher-order features such as content and organization subskills. The two profiles were further examined to capture their unique features. Finally, the theoretical and pedagogical implications of the identification of L2 writing profiles and suggestions for further research are discussed.

    doi:10.1016/j.asw.2023.100803

October 2018

  1. The BAWE corpus and genre families classification of assessed student writing
    Abstract

    The British Academic Written English (BAWE) corpus (www.coventry.ac.uk/BAWE) comprises almost 3,000 pieces of university student writing distributed across four domains (Arts & Humanities, Life Sciences, Social Sciences, Physical Sciences) and four levels of study (from first year undergraduate to taught Master's level). The texts had all been submitted as part of regular university coursework, and had been awarded top grades, indicating that they had met disciplinary requirements in terms of level and task. The corpus was compiled to enable identification of the linguistic and generic features associated with successful university student writing. Our detailed analyses of the corpus led to the identification of thirteen genre families, and supports the premises that university students write in a wider variety of genres than is commonly recognised, and that student writing differs across genres, disciplines and levels of university study. This review introduces the BAWE corpus and the associated genre family classification, then explains how they can be accessed and used for teaching and research purposes, how they have been used to deepen our understanding of academic writing in English, and where

    doi:10.1016/j.asw.2018.06.005