A Multidimensional Analysis of Research Article Discussion Sections in the Field of Chemical Engineering

Jin, Bixi

doi:10.1109/tpc.2018.2817002

Cited by 16 publications

(13 citation statements)

References 36 publications

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“…Table 2 summarizes six factors in the form of six sets of co-occurring linguistic features with corresponding factor loadings (see Jin, 2018a). Each linguistic feature represents a component of a factor reflected by its factor loading.…”

Section: Resultsmentioning

confidence: 99%

“…This study is part of a larger doctoral research project (Jin, 2018b). In this article, the focus is on the multi-dimensional analysis of discussion sections in chemical engineering, following by interviews with eight chemical engineering specialists to elicit their understanding on the corpus findings in relation to their reading and writing experience.…”

Section: Statement Of the Problemmentioning

confidence: 99%

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A Multi-Dimensional Analysis of Research Article Discussion Sections in an Engineering Discipline: Corpus Explorations and Scientists’ Perceptions

Jin

2021

SAGE Open

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Writing discussion sections of research articles (RAs) is difficult for novice scientists. The study investigates patterns of linguistic characterizations in discussion sections of RAs in chemical engineering. Around 240,000-word corpus was compiled using 213 discussion sections extracted from 20 disciplinary journals. Multi-dimensional (MD) analysis proposed by Biber was used to capture linguistic co-occurrence patterns based on a constellation of features across collected texts. The MD results show six salient linguistic patterns: (1) Involvement and interactivity; (2) Description versus Narration; (3) Expression of attitude; (4) Informational production; (5) Framing scientific claims; and (6) Expression of denial. Discourse-based interviews were then conducted with eight professional scientists to elicit their perception of MD findings concerning their reading experience and understanding of established writing conventions. The implications for EAP professionals are proposed as to the explicit instruction on teaching novice writers how to employ stance expressions strategically in academic writing.

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Section: Resultsmentioning

confidence: 99%

Section: Statement Of the Problemmentioning

confidence: 99%

A Multi-Dimensional Analysis of Research Article Discussion Sections in an Engineering Discipline: Corpus Explorations and Scientists’ Perceptions

Jin

2021

SAGE Open

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“…Informed by the genre analysis (Jin, 2018a), the first four moves occurred in over 60% of the samples which were deemed as conventional moves in discussion sections. As the enhancement to the introduction, samples for move analysis were given for practice in Extract 1.The activity is framed as a demonstration of the process of move analysis, enabling participants to see how these moves appeared in the sequence that experienced writers employed to realize particular communicative functions.…”

Section: Understanding Of the Rhetorical Organization Of Discussion Smentioning

confidence: 99%

“…The workshop materials and tasks presented in paper format were motivated by the genre-and corpus-based findings on discussion of results section described in a prior research project (Jin, 2018a(Jin, , 2018b, which are beyond the detailed descriptions in this study. The workshop lasted about two hours.…”

Section: Instructional Design For the Writing Workhopmentioning

confidence: 99%

Using Genre- and Corpus-based Findings to Inform the Writing of the Discussion Section of a Research Article

Jin¹

2020

The Journal of AsiaTEFL

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“…Hall-Millsa and Apela [22] employ the exploratory factor analyses to study the interrelationship of microstructure and macrostructure features in different written genres across different grade levels. Doring and Poeschl [23] use the exploratory statistics as one of the approaches to investigate the representation of relationships between humans and robots in the media. Of all the techniques, the multi-dimensional analysis has been commonly adopted in genre-based investigations.…”

Section: B Multivariate Statistics and Genre Analysismentioning

confidence: 99%

Extracting Significant Words in Engineering Texts for Specialised Language Descriptions

2019

IJITEE

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The academic discourse of a specialised language is characterised by specialised and technical vocabulary, and lexicogrammar. Studies on language description suggest the need to explore and determine the specific characteristics of the academic discourse of each specialised language, to serve the language needs of the learners. This study demonstrates an exploration of this discipline specificity by looking at the nouns used in a specialised language - an Engineering English. It attempts to integrate a multivariate technique, i.e. the Correspondence Analysis (CA), as a tool to extract significant nouns in a specialised language for any further language use scrutiny. CA allows visual representations of the word interrelationships across different genres in a specialised language. To exemplify this, an Engineering English Corpus (E2C) was created. E2C is composed of two sub-corpora (genres): Engineering reference books (RBC) and online journals articles (EJC). The British National Corpus (BNC) was used as the reference corpus. 30 key-key-nouns were identified from the E2C, and the frequency lists of the words were retrieved from all the corpora to run the CA. The CA maps of the nouns display how these corpora are different from each other, as well as, which words characterise not only E2C from a general corpus (BNC), but also the different genres in E2C. Thus, CA proves to be a potential tool to display words which characterise not only a specialised corpus from a general corpus, but also the different genres in that specialised corpus. This study promises more informed descriptions of a specialised language can be made with the identification of specific and significant vocabulary for any academic discourse investigations.

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A Multidimensional Analysis of Research Article Discussion Sections in the Field of Chemical Engineering

Cited by 16 publications

References 36 publications

A Multi-Dimensional Analysis of Research Article Discussion Sections in an Engineering Discipline: Corpus Explorations and Scientists’ Perceptions

A Multi-Dimensional Analysis of Research Article Discussion Sections in an Engineering Discipline: Corpus Explorations and Scientists’ Perceptions

Using Genre- and Corpus-based Findings to Inform the Writing of the Discussion Section of a Research Article

Extracting Significant Words in Engineering Texts for Specialised Language Descriptions

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