Bill Hart-Davidson has published over 50 articles and book chapters and is co-inventor of Eli Review, a software service that supports writing instruction. He can discuss technology in education.
Industry Expertise (2)
Writing and Editing
Areas of Expertise (4)
Purdue University: Ph.D.
Bowling Green State University: M.A.
Bowling Green State University: B.S.
- WIDE Research Center, Senior Researcher
- Center for Ethics in Humanities in the Life Sciences, MATRIX Affiliated Researcher
- Humanities Without Walls Consortium, Institutional Liason
Journal Articles (5)
Toward an Encounter Team Model of Clinical Project Management: A Needs Analysis of a Family Health CenterTechnical Communication
Dawn S Opel, Cathy Abbott, William Hart-Davidson
2018 As a part of a clinic transformation project, we studied workflow processes in a family health center in order to recommend interventions for a team-based approach to patient care. Method: We conducted a needs analysis informed by Spinuzzi's (2013) Topsight, undertaken through over twenty hours of clinical observation, studying clinical communication practices by role in the clinic (provider, nurse, medical assistant, and front desk receptionist).
Implementing shared decision making in federally qualified health centers, a quasi-experimental design study: the Office-Guidelines Applied to Practice (Office-GAP) programBMC Health Services Research
Adesuwa Olomu, William Hart-Davidson, Zhehui Luo, Karen Kelly-Blake, Margaret Holmes-Rovner
2016 To evaluate Office-GAP Program feasibility and preliminary efficacy on medication use, patient satisfaction with physician communication and confidence in decision in low-income population with diabetes and coronary heart disease (CHD) in a Federally Qualified Healthcare Center (FQHC).
Finding Genre Signals in Academic Writing.Ryan Omizo, William Hart-Davidson
Journal of Writing Research
2016 This article proposes novel methods for computational rhetorical analysis to analyze the use of citations in a corpus of academic texts. Guided by rhetorical genre theory, our analysis converts texts to graph-theoretic graphs in an attempt to isolate and amplify the predicted patterns of recurring moves that are associated with stable genres of academic writing. We find that our computational method shows promise for reliably detecting and classifying citation moves similar to the results achieved by qualitative researchers coding by hand as done by Karatsolis (this issue). Further, using pairwise comparisons between advisor and advisee texts, valuable applications emerge for automated computational analysis as formative feedback in a mentoring situation.
You Can Read the Comments Section Again: The Faciloscope App and Automated Rhetorical AnalysisDH Commons Journal
Ryan Omizo, William Hart-Davidson, Minh-Tam Nguyen, Ian Clark, Kristi McDuffie, Jim Ridolfo
2016 The Faciloscope (see Figure 1) is a web application that employs a support vector machine (svm) (Cortes and Vapnik, 1995) classifier to annotate high-value facilitation moves in online, informal learning and discussion environments. These moves include Staging, Inviting, and Evoking moves. The Faciloscope app and its supporting “About” information can be accessed at:
The turn to learning: A view of UX project management as organizational learning practiceInternational Journal of Sociotechnology and Knowledge Development (IJSKD)