Data Analytics for TPC Curriculum

Authors

Keywords:

audience analysis, data analytics, technical communication, pedagogy, usability

Abstract

Despite serving as a user analysis tool for technical communicators where usability testing methods fall short, data analytics remains underdeveloped in technical and professional communication (TPC) pedagogy. In this entry, we discuss the value and means to incorporate data analytics in existing TPC courses to prepare students for the workplace, and as a way to provide an accessibility-driven framework to perform user studies through data analysis methods for practitioners.

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Author Biographies

Daniel Hocutt, University of Richmond

Dr. Daniel L. Hocutt serves as Web Manager on the Marketing & Engagement team and teaches as adjunct professor of liberal arts at the University of Richmond School of Professional & Continuing Studies in Richmond, Virginia. His research interests are at the intersection of rhetoric, user experience, and technology, Specific areas include data analytics in technical communication, posthuman rhetorical agency, and digital literacies. He’s published in Technical Communication, Communication Design Quarterly, Computers & Composition, Present Tense, and the Journal of User Experience along with several edited collections.

Nupoor Ranade, George Mason University

Dr. Nupoor Ranade teaches in the Professional Writing and Rhetoric program at George Mason University. Her research addresses knowledge gaps in the fields of technical communication practice and pedagogy, and focuses on professional writing and editing, inclusive design, and ethics of AI. Through her teaching, Nupoor tries to build a bridge between academia and industry and help students develop professional networks while they contribute to the community that they are part of. Her research has won multiple awards and is published in journals including but not limited to Technical Communication, Communication Design Quarterly, and IEEE Transactions on Professional Communication.

Jianfen Chen, Towson University

Dr. Jianfen Chen teaches in the Professional Writing program at Towson University. Her research focuses on technical and professional communication, public health rhetoric, digital rhetoric, and environmental risk communication. Her work appears in Computers and Composition, proceedings of the ACM International Conference on Design of Communication, and the International Journal of Humanities and Social Science.

Katlynne Davis, University of St. Thomas

Dr. Katlynne Davis is an assistant professor at the University of St. Thomas in St. Paul, Minnesota. Her research is centered on the writing work and labor of social media communication, specifically within the context of mental health communication and mental health advocacy. She also studies digital literacy as it relates to technical and professional communication pedagogy. Her work has been published in The Journal of Interactive Technology and Pedagogy, Communication Design Quarterly, Intercom, and Programmatic Perspectives.

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Published

2024-08-05

How to Cite

Hocutt, D., Ranade, N., Chen, J., & Davis, K. (2024). Data Analytics for TPC Curriculum. Programmatic Perspectives, 15(1). Retrieved from https://programmaticperspectives.cptsc.org/index.php/jpp/article/view/70

Issue

Vol. 15 No. 1 (2024): Programmatic Perspectives

Section

FOCUS

License

Copyright (c) 2024 Daniel Hocutt, Nupoor Ranade, Jianfen Chen, Katlynne Davis

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.