Understanding social justice features in statistics
writing
A corpus-based case study of two undergraduate statistics
courses
In this chapter, we present a DocuScope case
study of undergraduate writing in two statistics courses, with
special attention to language use viewed through a social justice
lens. Our analysis reveals how language clusters can help us
understand the presence of academic terms, metadiscourse, and
reasoning patterns, across both courses and how these can be used to
leverage critical analysis. Based on our case study, we propose that
a social justice framework for language analysis holds the potential
to reformulate the rhetorical approach offered by DocuScope in ways
that can encourage fair and equitable language use.
Article outline
- 1.Introduction
- 2.Literature review
- 2.1Social justice and writing across the curriculum
- 2.2Communicating across organizational settings
- 3.Method
- 3.1Introductory statistics course and dataset
- 3.2Social-justice statistics course and dataset
- 3.3Data cleaning and analysis
- 4.Analysis
- 4.1Comparative descriptive statistics
- 5.Discussion
- 5.1Course differences
- 5.2Course similarities
- 6.Challenges and opportunities
-
Acknowledgements
-
References
-
Appendix
References (48)
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