Tools for automated rhetorical analysis of academic writing – Shibani's blog. 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 cater to different users and purposes. 2016: Writing Analytics to Improve Formative Feedback. Presenters: Simon Buckingham Shum, Simon Knight, Andrew Gibson, Philippa Ryan and Adam Aitken (University of Technology Sydney).
The education sector should be interested in the potential of “the data revolution” since it promises better feedback loops within complex systems. In the field known as Learning Analytics, there is significant effort being invested in the potential of new forms of digital data for improving learning, teaching and research.
For educators, critical questions turn on issues such as what data is being logged, for whom, for what purpose, and how this relates to sound pedagogy, learning design and assessment regimes. Student writing is one type of educational data of particular interest to the Connected Intelligence Centre (CIC) at the University of Technology of Sydney (UTS). For a computer, writing is unstructured, messy, and difficult to analyse precisely because it is such a rich expressive medium. Learning design meets learning analytics: Dr Bart Rienties, Open Univ…
A-LASI Getting started in learning analytics (Lockyer, Rogers and Daw… The future of learning analytics: LASI16 Bilbao. Social Learning Analytics. Open Learning Analytics. When Learning Analytics Meets MOOCs.