The 5th International Conference on Writing Analytics

Call for Papers


The 5th International Conference on Writing Analytics
January 11-12, 2018, St. Petersburg, FL




Program Committee

  • Joseph Moxley, University of South Florida
  • Norbert Elliot, University of South Florida
  • Erica Snow, Imbellus

Conference Chair Committee

  • Erica Snow, Imbellus
  • Norbert Elliot, University of South Florida
  • Dave Eubanks, University of South Florida
  • Djuddah Leijen, University of Tartu
  • Christian Rapp, Zurich University of Applied Sciences
  • Otto Kruse, Zurich University of Applied Sciences
  • Phil Durrant, University of Exeter
  • Laura Aull, Wake Forest University
  • Anna Warnsby, Malmo University
  • Asko Kauppinen, Malmo University
  • David Kaufer, Carnegie Mellon University


The conference will be held at the Postcard Inn in St. Petersburg, Florida. More information will be given at a later date.








We are pleased to announce the keynote speakers:

Danielle S. McNamara (Ph.D. 1992, University of Colorado, Boulder) joined the ASU Institute for the Science of Teaching & Learning, Department of Psychology in 2011. She joined ASU from the University of Memphis where she was Director of the Institute for Intelligent Systems and Professor in the Department of Psychology for 9 years. Her academic background includes a Linguistics B.A. (1982), a Clinical Psychology M.S. (1989), and a Ph.D. in Cognitive Psychology (1992; UC-Boulder). The overarching theme of her research is to better understand cognitive processes involved in comprehension, writing, and learning, and to apply that understanding to educational practice by developing and testing educational technologies (e.g., iSTART, Writing Pal) and Natural Language Processing (NLP) tools (e.g., Coh-Metrix). Two of her projects, The Writing Pal and iSTART, are computer assisted learning programs designed to improve students’ writing and reading comprehension. Coh-Metrix is a text analysis tool designed to advance our understanding of the nature of text difficulty.


Jill Burstein is the Director of Research of the Natural Language Processing Group in the Research Division at Educational Testing Service. She is a computational linguist and an expert in the design and application of automated capabilities for educational technology, specializing in automated writing evaluation. Her research is highly cross-disciplinary, as reflected in her publications with research colleagues from the writing and reading studies, English language learning, and psychometric communities. The intersection of her research interests has led to these two inventions: E-rater®, an automated essay evaluation application, and Language MuseTM, an instructional authoring tool for teachers of English language learners.  Currently, she is the PI for two federally-funded project entitled, A Technology-Assisted Generation of Linguistically-Relevant Instructional Activities to Support ELLs in Content and Language Learning in the Content Areas (#R305A140472), and Exploring Writing Achievement and Its Role in Success at 4-Year Postsecondary Institutions(#R305A160115). Dr. Burstein also holds numerous patents for NLP-based, educational technology inventions that support writing analytics.  She holds a Ph.D. in Linguistics from the Graduate Center, the City University of New York.


Erica Snow PhD, is the Principal Cognitive Scientist at Imbellus. Erica’s research examines how patterns of behavior can be extracted from digital environments to better understand and ultimately support users’ cognitive, metacognitive, and regulatory processes. Through her work Erica has led both IES and NSF funded projects and has published more than 45 peer-reviewed publications on learning analytics, adaptive technology, and human-computer interactions. Erica received her PhD in Cognitive Science at Arizona State University in 2011. 


Panel Topics

Research on Global English and L2 Writers

Methods for Corpus-Based Research

Real-World Impacts of Learning Assessment

Writing Analytics Through Natural Language Processing

Scaffolding Innovative Data Driven-Base Sources in Writing Assessments

Corpus Linguistics and its Technical Implications

Real-time Feedback, Techniques, and Support in Writing Processes

Data Mining and Learning Analytic Methods

Linguistic Research Using Big Data Techniques

Writing Processes and Global Perspectives



For more information, please contact Joe Moxley at