Abstract

This research note focuses on how corpus analysis tools can help researchers make sense of the data writing centers collect. Writing centers function, in many ways, like large data repositories; however, this data is under-analyzed. One example of data collected by writing centers is session notes, often collected after each consultation. The four institutions featured in this noteâ€"Michigan State University, the University of Michigan, Texas A&M University, and The Ohio State Universityâ€"have analyzed a subset of their session notes, over 44,000 session notes comprising around 2,000,000 words. By analyzing the session notes using tools such as Voyant, a web-based application for performing text analysis, writing center researchers can begin to explore critically their large data repositories to understand and establish evidence-based practice, as well as to shape external messaging about writing center laborâ€"separate from and in addition to impact on student writersâ€"to institutional administrators, state legislators, and other stakeholders.

Journal
Journal of Writing Analytics
Published
2018-01-01
DOI
10.37514/jwa-j.2018.2.1.09
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Citation Context

Cited by in this index (2)

  1. Computers and Composition
  2. Writing and Pedagogy

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