NETWORKED (WRITING) CENTERS: UTILIZING ONLINE VISUALIZATION TOOLS ON LARGE MULTI-INSTITUTIONAL DATA SETS (2020)

Keywords

Word tree, writing center, corpus

Abstract

To date, there is very little critical engagement with the field of data visualization in writing center studies. This project critically engages with data visualization practices for large text-based data sets; we use Voyant, an open-source web-based application, to conduct corpus analysis on session notes from writing centers located at four institutions. Visualizations created from the corpus analysis help us represent our data and provide new ways of making sense of large amounts of information. We focus on a corpus of around 2 million words and four types of data visualization (Cirrus, Table, Collocates Graph, and WordTree) to make arguments about the larger field of writing center studies. We also address the value of cross-institutional work for writing center studies, particularly related to documents (e.g., sessions notes) that are often under-utilized at individual institutions.

Citation Information

Type of Source: Journal Article

Authors: Joseph Cheatle, Genie Giaimo, Candace Hastings, Christine Modey

Year of Publication: 2020

Title: NETWORKED (WRITING) CENTERS: UTILIZING ONLINE VISUALIZATION TOOLS ON LARGE MULTI-INSTITUTIONAL DATA SETS

Publication: Kairos, 25 (1)