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Research ArticleUnderstanding Attainment Disparity: The Case for a CorpusDriven Analysis of the Language used in Written Feedback Information to Students of Different Backgrounds Sin Alsop, Coventry University Sheena Gardner, Coventry UniversityStructured Abstract Background: Disparity of attainment between different groups of students in UK higher education has been correlated with ethnicity (UUK & NUS, 2019). For example, students who declared their ethnicity as Black were 20% less
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01
Identify the research topic or question you want to investigate.
02
Select a relevant corpus that pertains to your research topic.
03
Familiarize yourself with the tools and software used for analyzing corpora.
04
Define the linguistic features or aspects you want to analyze (e.g., frequency, collocation, patterns).
05
Extract and analyze data from the corpus using your chosen tools.
06
Interpret the results in the context of your research question.
07
Document your methodology and findings for further reference or publication.

Who needs a corpus-driven investigation of?

01
Linguists seeking to analyze language patterns and usage.
02
Researchers looking to explore specific linguistic phenomena or trends.
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Educators aiming to improve language teaching methodologies.
04
Writers and editors wanting to enhance their understanding of language use.
05
Companies developing language technologies such as software or AI.
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A corpus-driven investigation is a research method that utilizes a large collection of texts (corpus) to analyze linguistic patterns, structures, and usage in a systematic way.
Those conducting linguistic research, students, and professionals in fields such as linguistics, computational linguistics, and text analysis are typically required to file a corpus-driven investigation.
To fill out a corpus-driven investigation, one should define the research question, collect relevant texts, analyze the data using appropriate software, and document findings with clear explanations and visual representations.
The purpose of a corpus-driven investigation is to provide empirical evidence for linguistic theories and to uncover patterns of language use based on actual data rather than intuition.
A corpus-driven investigation should report information such as the corpus size, the types of texts included, the methodologies used for analysis, key findings, and implications for linguistic theory or practice.
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