I-Search and Quantified Self

I am 70-percent committed to a plan for ENGL326: Research Writing this fall revolving around research networks. I’ve been reading over the syllabus and materials Geof Carter generously shared with me from a similar class he taught at SVSU recently. The basic idea here is to begin with a key (or keyless, as circumstances warrant) scholarly article in a given field of study (i.e., the student’s declared major, probably) and then trace linkages from the article to/through the various places (inc. schools of thought), times, affinities (inspirational sources, pedigree/halo re: terminal degree), and semantic fields (inc. contested terms) out of which it was written.  We will probably adopt a workshop model, maybe use CMap Tools for representing these research yarns, develop reading and research logs in something semi-private, such as Penzu, and, if things go well, lay some groundwork for a relatively focused going over of what entails “research” in their respective areas while also doing a lot of reading and writing, including some sort of an update or response to the first article. We could even write those in Etherpad for the way it lets us present a document’s evolution as video (video which invites a layer of commentary and reflection, a­­­­­s I imagine it possibly working out). If this sounds like June thinking for a class that starts in September, well, it is. Anyway, what good is early summer if not for breezily mulling things over?

Now, had I to begin again, I might create a different version of Research Writing tied in with the Quantified Self stuff. Monday’s entry on Seth Roberts’ work reminded me about this. Here is a small slice of Roberts’ article abstract, which is posted on The QS blog:

My subject-matter knowledge and methodological skills (e.g., in data analysis) improved the distribution from which I sampled (i.e., increased the average amount of progress per sample). Self-experimentation allowed me to sample from it much more often than conventional research. Another reason my self-experimentation was unusually effective is that, unlike professional science, it resembled the exploration of our ancestors, including foragers, hobbyists, and artisans.

Although the QS projects are rooted in quantification, they are not exactly bound to traditional science or notions of experimentation and measurement for public good.  Instead, they assume a useful blend between quantitative tracking and personal knowledge.  I don’t have in mind a QS-based research writing class concerned so much with “optimal living” or with diet and exercise, although I guess there’s no good reasons these things should be excluded from possibilities.  I’m thinking more along the lines of Quantified Self meets McLuhan’s media inventories meets Macrorie’s I-Search.  The class would inquire into data tracking, narrating spreadsheets, rhetorics/design of data visualization, and the epistemological bases of the sciences, while it “grabs hold of the word ‘authority’ and shakes it to find out what it means” (Macrorie, “Preface”). Again, just thinking aloud, June thinking for a class that, depending upon how things turn out this fall, starts in September 2011 or 2012.