@inproceedings{baec519d6ef648da95d8e637f2993d78,
title = "Write \& Audit: Teaching Genre Features of Statistics Writing with a Student-Facing Text Analysis Tool",
abstract = "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.",
keywords = "Corpus studies, rhetoric-composition, technology-enhanced learning, writing pedagogy.",
author = "Michael Laudenbach and Suguru Ishizaki and Brown, \{David West\}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Professional Communication Conference, ProComm 2022 ; Conference date: 17-07-2022 Through 20-07-2022",
year = "2022",
doi = "10.1109/ProComm53155.2022.00097",
language = "English (US)",
series = "IEEE International Professional Communication Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "476--481",
booktitle = "Proceedings - 2022 IEEE International Professional Communication Conference, ProComm 2022",
address = "United States",
}