Special Interest Group on Writing Analytics (SIGWA)

About

Writing analytics has emerged as a sub-domain of learning analytics to investigate and provide feedback on student writing processes and written products. Writing analytics builds on developing technological capabilities in natural language processing, and broader learning analytics research. The Special Interest Group on Writing Analytics (SIGWA) will facilitate discussion on writing analytics research by researchers, writing tool developers, theorists and practitioners to foster a research and practice community in writing analytics. It operates as a SIG within the Society of Learning Analytics Research (SoLAR)

 

Members

Organizing Committee:

  • Shibani Antonette, University of Technology Sydney, Australia (antonette.shibani@gmail.com)
  • Simon Knight, University of Technology Sydney, Australia (simon.knight@uts.edu.au)
  • Danielle McNamara, Arizona State University, USA
  • Laura Allen, Mississippi State University, USA
  • Mladen Rakovic, Simon Fraser University, Canada
  • Julie (Junli) Wei, Arizona State University, USA
  • Sophie Abel, University of Technology Sydney, Australia

Initial Members:

  • Elena Cotos, IOWA State University, USA
  • Yoram Kalman, The Open University of Israel, Israel
  • Ming Liu, University of Technology Sydney, Australia
  • Christian Rapp, Center for Innovative Teaching and Learning, Switzerland
  • Andrew Gibson, Queensland University of Technology, Australia
  • Sebastian Wollny, DIPF | Leibniz Institute for Research and Information in Education, Germany
  • Simon Buckingham Shum, University of Technology Sydney, Australia
  • Phil Winne, Simon Fraser University, Canada
  • Jovita Vytasek, Simon Fraser University, Canada
  • Rod Roscoe,  Arizona State University, USA
  • Beata Beigman Klebanov, Educational Testing Service, USA
  • Adon Moskal, University of Otago, New Zealand

 

 

Events

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SIGWA is open to anyone interested in Writing Analytics. To join, fill up this form below, and we will get in touch with you.

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