The usage of Reflective Writing Analytics (RWA) as a term emerged informally during the LAK15 conference (March 2015 in Poughkeepsie, NY) with the initial documentation of the term in a blog by Simon Buckingham Shum, and more formally in a soon to be published Journal of Learning Analytics Paper by myself, Kirsty Kitto, and Peter Bruza.
nlytx.io is a site for demonstration of various analytics software based on natural language processing. These demos are provided as web applications.
Going OK is a web application for the collection and analysis of personal reflective texts. Development of the software commenced in 2012 in support of an educational research project called Becoming Colleagues which was researching identity and resilience of early career teachers in their first year of teaching.
Reflective Writing Analytics (RWA) necessitates working across two different epistemic domains, the psychosocial and the computational. This transepistemic work is problematic due to divergence in the explanations each domain affords of features in the reflective writing. The common approaches to addressing this divergence have difficulties in justifying the various decisions and assumptions involved. I address this issue by presenting a mode of reasoning which I call Transepistemic Abduction (TeA).