A Comparison of Practitioner and Student Writing in Civil Engineering

2017 ◽  
Vol 106 (2) ◽  
pp. 191-217 ◽  
Author(s):  
Susan Conrad
2019 ◽  
Vol 1 (1) ◽  
pp. 168-198
Author(s):  
Susan Conrad

Abstract Susan Conrad, Professor of Applied Linguistics at Portland State University (USA), contributes this article on the applications of register research to English for Academic Purposes (EAP) and English for Specific Purposes (ESP). Her research focuses on topics including academic register variation, discipline-specific language, student and workplace writing, and grammar and writing pedagogy. Since the 1990s, her work has advocated for and exemplified the ways in which register-based descriptions can facilitate language teaching, including building awareness of register variation in learners and novice writers themselves. This focus is illustrated in her book Real Grammar: A Corpus-Based Approach to English (Conrad & Biber 2009, Pearson Longman), which takes many of the major register-based patterns of variation in English grammar (described in the Longman Grammar of Spoken and Written English, Biber et al. 1999) and translates them into practical grammar lessons for language learners, making explicit how grammar use is mediated by register. Her applied focus is also evident in her work as Principal Investigator for the Civil Engineering Writing Project <http://www.cewriting.org/>. The project, funded by the National Science Foundation, addresses the writing needs of Civil Engineering students through corpus-based register comparisons (of university student writing, practitioner workplace writing, and published academic writing), applying the results to the development and evaluation of pedagogical materials that improve students’ preparation for writing in the workplace.


2021 ◽  
Vol 11 (2) ◽  
Author(s):  
Priya Mathew

The study of phraseology with respect to continuous and discontinuous frames in academic writing has gathered increasing research attention over the past decade. Their prevalence in expert writing and the influence of discipline and genre on their frequency and type have led to studies that attempted to identify the most productive discontinuous frames in specific disciplines. The aim of this study is to investigate the pattern of the N of (the) N, a prolific pattern in expert academic writing, in two Omani corpora of undergraduate Civil Engineering genres, Case Studies (CS) and Methodology Recounts (MR). The two strands of inquiry involve 1) a comparison between the semantic noun categories of the first (N1) and second noun (N2) used in this pattern and; 2) the N1-N2 sequences in the pattern which realize specific discourse functions in these two genres. Strings belonging to this pattern were retrieved from the two corpora through the corpus interface, Sketch Engine. Findings indicate the prevalence of this frame in the two genres and genre influence on the choice of semantic noun categories. It was also found that the N1-N2 sequences in the pattern are used to realise distinct discourse functions in the two genres. This is one of the first corpus-based studies on university student writing in the Middle East and considering that English is the language of instruction and assessment in many of these countries, these findings have significant pedagogical implications. EFL students in such lingua franca contexts can be supported by a more discipline-specific approach. 


Crisis ◽  
2016 ◽  
Vol 37 (2) ◽  
pp. 140-147 ◽  
Author(s):  
Michael J. Egnoto ◽  
Darrin J. Griffin

Abstract. Background: Identifying precursors that will aid in the discovery of individuals who may harm themselves or others has long been a focus of scholarly research. Aim: This work set out to determine if it is possible to use the legacy tokens of active shooters and notes left from individuals who completed suicide to uncover signals that foreshadow their behavior. Method: A total of 25 suicide notes and 21 legacy tokens were compared with a sample of over 20,000 student writings for a preliminary computer-assisted text analysis to determine what differences can be coded with existing computer software to better identify students who may commit self-harm or harm to others. Results: The results support that text analysis techniques with the Linguistic Inquiry and Word Count (LIWC) tool are effective for identifying suicidal or homicidal writings as distinct from each other and from a variety of student writings in an automated fashion. Conclusion: Findings indicate support for automated identification of writings that were associated with harm to self, harm to others, and various other student writing products. This work begins to uncover the viability or larger scale, low cost methods of automatic detection for individuals suffering from harmful ideation.


1993 ◽  
Vol 38 (5) ◽  
pp. 499-500
Author(s):  
Harvey A. Hornstein
Keyword(s):  

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