Emily Dux Speltz, Ph.D.

Postdoctoral Research Associate

Department of English, Iowa State University

I'm a Postdoctoral Research Associate in the Department of English at Iowa State University. In this role, I work on developing and evaluating innovative writing technologies, focusing on process-focused writing feedback and instruction. Prior to this role, I completed a Ph.D. in Applied Linguistics & Technology. My research interests center around the applications of writing-process research to computer-assisted writing pedagogy, including the use of generative AI in the writing process. I'm passionate about helping university students become better writers, communicators, and learners through my teaching and research.

As Project Manager for our team’s $750,000 NSF-funded project, I’m responsible for designing and executing experiments, analyzing and interpreting data, reviewing literature, preparing professional presentations and scientific manuscripts, and supervising undergraduate and graduate research assistants. I also coordinate the efforts of our cross-disciplinary, international team.
Broad Interests:
— English composition
— Applied linguistics
— Educational psychology
— Educational technology
— Artificial intelligence
See more on my "Research" and "Teaching" pages.
In the News
Iowa State writing class equips students for a world with AI
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Experimental AI course will return this fall
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Developing an intelligent tutoring system to help students write better
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My Skills
  • I'm skilled in project management. I've worked as a project manager for a $750,000 grant from the National Science Foundation for four years, supervising 18 undergraduate research assistants and interns and coordinating research tasks for the entire team.
  • I've developed innovative curricula for multiple university courses, including "Artificial Intelligence and Writing" and "Computers and Language." See more on my "Teaching" page.
  • I'm able to code in Python, R, and HTML to develop educational technologies and streamline research and teaching tasks.
  • I'm proficient in existing technologies for data analysis, such as AntConc, AntGram, FireAnt, Voyant Tools, TAALES, and NVivo.
  • I'm proficient in linear mixed-effects modeling, cluster analysis, exploratory and confirmatory factor analysis, and thematic analysis.
My Interests
Contact me for collaboration requests or other professional opportunities.
E-mail: endux at iastate dot edu