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Write & Audit: Teaching Genre Features of Statistics Writing with a Student-Facing Text Analysis Tool

Based on a corpus analysis of writing data from undergraduate and graduate courses in statistics and data science at Carnegie Mellon, we have designed a computer-assisted course intervention for two writing projects in an introductory-level statistics course. Our approach uses DocuScope Write &...

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Main Authors:	Laudenbach, Michael, Ishizaki, Suguru, Brown, David West
Format:	Conference Proceeding
Language:	English
Subjects:	Conferences Corpus studies Data science Data visualization Education Organizations rhetoric-composition technology-enhanced learning Text analysis Writing writing pedagogy
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creator	Laudenbach, Michael Ishizaki, Suguru Brown, David West
description	Based on a corpus analysis of writing data from undergraduate and graduate courses in statistics and data science at Carnegie Mellon, we have designed a computer-assisted course intervention for two writing projects in an introductory-level statistics course. Our approach uses DocuScope Write & Audit (W&A), a text visualization software, which was designed to allow student writers to inspect both their topical organization and the rhetorical experiences they create. This short paper provides a brief overview of the corpus study, then outlines our design and expectations for a proposed workshop study that examines the effectiveness on our intervention.
doi_str_mv	10.1109/ProComm53155.2022.00097
format	conference_proceeding
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source	IEEE Xplore All Conference Series
subjects	Conferences Corpus studies Data science Data visualization Education Organizations rhetoric-composition technology-enhanced learning Text analysis Writing writing pedagogy
title	Write & Audit: Teaching Genre Features of Statistics Writing with a Student-Facing Text Analysis Tool
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