Automated Detection of Writing Phases: An Unsupervised Machine Learning Validation of the Hayes and Flower Cognitive Writing Model Using Keystroke Data

Session AB.9 · Individual 30-Minute Presentation · Thursday, Mar 05, 2026 · 11:15 AM - 11:45 AM EST · Room 18, Huntington Convention Center

Area: Information Literacy and Technology · family: Information, technology and digital cultures

eShow tracks: Information Literacy and Technology

Role	Name as printed	Affiliation as printed	Paper
Presenter	Jaelyn Hui	Duke University, Cursive Technology, University of Maryland, College Park → University of Maryland, College Park
Presenter	Joseph Thibault	Cursive Technology

Source

NCTE's program. Names link to a person page only for people listed at two or more conventions.

Cite as: Conference on College Composition and Communication. “Automated Detection of Writing Phases: An Unsupervised Machine Learning Validation of the Hayes and Flower Cognitive Writing Model Using Keystroke Data.” 2026 Convention Program, Cleveland, session AB.9. Via CCCC Program Reader, November 3, 2026.