Visit to ASU
I’ve just returned from a week at Arizona State University, in the SOLET (Science of Learning and Educational Technology) lab, funded by a small NSF Data Consortium Fellowship with Laura […]
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Tools for automated rhetorical analysis of academic writing
Alert – Long post! In this post, I’m presenting a summary of my review on tools for automatically analyzing rhetorical structures from academic writing. The tools considered are designed to […]
Notes: XIP – Automated rhetorical parsing of scientific metadiscourse
Reference: Simsek, D., Buckingham Shum, S., Sandor, A., De Liddo, A., & Ferguson, R. (2013). XIP Dashboard: visual analytics from automated rhetorical parsing of scientific metadiscourse. In: 1st International Workshop […]
Notes: NLP Techniques for peer feedback
Reference: Xiong, W., Litman, D. J., & Schunn, C. D. (2012). Natural language processing techniques for researching and improving peer feedback. Journal of Writing Research, 4(2), 155-176. Background: Feedback on […]
ICLS in Singapore
Photo by Nicolas Lannuzel For the last week I’ve been in Singapore, at the 12th International Conference of the Learning Sciences. I kicked off the week as a respondent on […]
WordPress course writing and eportfolio space
We’ve been doing work to develop a space (‘CIC-around’) to allow students to: Collate posts, so a portfolio can showcase existing work Provide access control, to ensure the work can […]
Using Google drive and doctopus for whole-class group and individual tasks
Today’s latte, Google Drive. By Yuko Honda (CC-By-SA) I recently ran a class (in our excellent Arguments, Evidence, and Intuition undergrad subject) on finding and manipulating data. As part of […]
Thinking about genre with students
I’m planning to do some work with students to encourage them to think about genre in their profession. (NB: See comment on this post for outcome of an activity based […]
Writing Analytics: LAK & EDM workshops
It’s a sign of the times that we now have two independently organised workshops on Writing Analytics in 2016, connecting two sister communities to the topic with their slightly different […]
UTS model of learning (writing): Writing for data scientists
At UTS we have a model of learning, that is built on in the ‘learning.futures‘ programme, both of which target course-based graduate attributes: An integrated exposure to professional practice through […]