Posts that are engineering edu-ish

QualMIP week 9: alignment of project components

Part of the QualMIP series, introduced here.

You can tell the semester is ending soon, because my posts are getting terser… this week our studio focus was on three things: project design alignment, creation of a data inventory, and discussion of what “done” means for individual projects.

The week will be spent moving towards whatever “done” is for each person’s project — but having alignment and clarity as to what the project is is an important prerequisite to being able to do that. We spent the day workshopping alignment, with the (draft! handwritten! first version!) worksheet below as representative of how we scaffolded that discussion. (I’d love comments on the worksheet, by the way.)

Qualitative Research Design Alignment Worksheet

Current thesis articulation problems, aka “postmodernism is hard”

Sometimes, trying to clarify your problems can be a helpful step in starting to resolve them. I’m currently struggling with the following:

1. A succinct history of how postmodernist philosophy troubles old notions of self/world and self/other relations… in ways that matter to STEM folks (that second part is the problem), and…

2. Potential misconceptions that could steer readers into misinterpreting what I’m actually trying to do. I keep feeling like I’m being asked to use my data to “prove” the ontological framings I’m using are valid, that the ontologies are frameworks that “emerge from the data” and are therefore somehow “real,” but that’s the assumption I’m trying to write against.

The last thing I’m wrestling with is something that’s less of an immediate crisis, but… at the same time, it’s very hard for me to unpack/articulate my process without using it, because it’s so much a part of my process, and so much a part of the paradigm I’m trying to convey (you’re not passive readers; this text is for you to engage with, and I’m deliberately trying to disrupt the ways you’re used to reading things). So, challenge #3 is to articulate…

3. The validity of writing something that deliberately asks the reader to experience/work with the text in a way other than being a passive reader that the writer takes by the hand and leads through a maze. I want to do this for at least some little intertexts because I think that sense of reader/writer positionality is important… and I feel like the responses I’m getting are akin to saying that T.S. Eliot is a lousy writer because he doesn’t just tell us what the Wasteland is “supposed” to be about. I need to frame this technique more, name it, justify it… I am struggling to do that.

My current articulation of what I’m actually trying to do is a sort of “Intro to Postmodernism for Engineers” stepthrough. I’m using different, related, and logically contradictory ontologies on the same qualitative data. The ontologies are basically different combinations of relationships between self/other and self/world, which are big questions that plenty of philosophers have tackled.

If you imagine each ontology as a pair of eyeglasses, I use each pair of eyeglasses to look at the data… and to look at each of the other pairs of eyeglasses. In the end, the dissertation is about the eyeglasses themselves. The data is from faculty talking about curriculum development, so here’s how the ontologies translate:

  1. The self, the world, and the other are all distinct and separate components! (We, the faculty, are the narrating selves… who are distinct from the curricular worlds we create for other people — namely, students — to experience and learn from.)
  2. Let’s trouble the boundary/relationship between world and other! (We, the faculty, are the narrating selves… who enter into and learn with and within a curricular world that’s inseparable from the others we interact with within that curricular space. Our colleagues and students have shaped the curriculum we’re “inheriting,” — even with a new course, there are histories and cultural notions of what it means to teach a certain thing — and we learn within a situated experience of teaching these courses with these colleagues and these students in the room.)
  3. Let’s trouble the boundary/relationship between self and world! (We, the faculty, are the narrating selves… and we and our curricular worlds co-construct one another. We have been (and continue to be) shaped by our learning experiences as students, teachers, and humans existing in the world, and our values and personalities and habits are reflected in the courses we design and what and how we teach them. Other people, such as colleagues and students, can’t encounter our curriculum without encountering us, and vice versa.) (Bonus: since I have multiple narrators telling stories of courses they co-taught, each narrator shows up as both a “self” in this ontology, and an “other” in ontology #2… in stories about the “same” class.)
  4. Let’s trouble the boundary/relationship between self and other! (We, the faculty, are the narrating selves… but wait, are we? In terms of who impacts curricular design decisions and how, it’s overly simplistic to define a group of faculty and say “yep, these are the people who made the curriculum, that’s it.” Sometimes we talk about ourselves as individuals; sometimes we speak as part of a group of colleagues, sometimes we include students and alumni and industry in the conversation… We constantly blur and move the boundary between “self” and “other” when deciding who to include as part of the “selves” who create curricular experiences.)

The end goal is to call into question our assumptions/usages of ontologies in general, not to prove that any ontology is “correct” or “better,” or that any of the ontologies can show us the “truth.” (Or even “all of them combined,” since there are an infinite number of possible viewpoints.) Instead, I’m trying to show that each ontology hides and reveals different things, and that these stories (and our realities as engineering educators) are complex and not always logically coherent. Lack of logical consistency isn’t a sign that there’s an error to be fixed; the world itself is complex and messy.

These things are all surprisingly hard for me to unpack and convey, and this almost certainly an issue with my weakness in articulating what I’m trying to do.

I’m hoping that talking with postmodernist researchers (especially qualitative ones!) and/or STS (science, technology, and society) folks who do or understand postmodernism — and how to articulate it to a STEM audience — might kick me out of my rut and get some useful insights on how to bridge these worlds, because right now I’m feeling like an incompetent engineer who isn’t thinking “rigorously,” as well as an incompetent philosopher/postmodernist/cultural studies/etc. because I’m not really any of those things; I’m an engineer trying to translate a few ideas to my own realm.

The ADHD Academic: a ritual of typed thinkalouds

You know, I might as well start posting about how I handle ADHD stuff too — those moments of little practice-sharing to remind my future self of things that work, and maybe other people might find some of this useful as well? Yeah, that.

One of the things I’ve done to get my ADHD brain more tamed (applicable to non-ADHD folks too!) is to freewrite-out-loud at the beginning of a writing sprint, letting my thoughts meander while leaving traces that eventually arrive at pretty reasonable small concrete tasks. This is the self-instructional freewriting from today, unedited.

I need to get the data into the results chapters; they should be the backbone of those chapters. (I feel like I’ve done this at least a half dozen times before. Guh repeated drafting process. Guh guh guh.)

I’m worried about the open licensing for Gary and Alan’s stuff, but should not think too much about that right now. Tomorrow, Stan can start to help me pull out of that thinking hole. Right now, the important thing is the data.

I’ve got a list of stories on these post-its; I can try to type them up and see where they cluster. The largest clusters are D&D and UOCD, and there are individual conversation/disagreement stories inside them. I think these are going to be collections that get edited into dialogues — I already have some really worked-over pieces for UOCD and D&D, and the Alan/Mark disagreement; I have indexes by page number in this document beside me.

I need to find a name for what I’m doing methodologically; at some point I should probably just ask Patti to help, or reach out to methodologists (which I should get more in touch with, honestly). I wonder if I can do an intro/letters sprint at some point, and be brave about reaching out to people I don’t know who… do really awesome work… and… yeah.

Back to the topic, though. What’s my intermediate artifacts here? I’ve got about an hour on this sprint clock before I need to get home and change for the exercise that’s going to keep me in gear.

Intermediate artifacts… well, first I want…

1. A grouped list of story clusters (I know I have multiple extended versions of this, they were for different purposes, do it AGAIN.)

2. Look up the status of each of those story clusters; which ones have existing drafts? And then, from the index: which transcripts and which page numbers do I pull from?

3. Turn page numbers into line numbers and pull the data. No, Mel. You are not allowed to write another Python script for this.

…stop there for now — the next step will be pulling out these stories and I know we’ll insert them into the chapters soon… but remember how much easier the chapter drafting was when you had the stories whittled out already? We’re doing this again. So focus in on these three steps. Let’s do it.

One current answer to “So how’s the writing going?”

Because people have been asking how the dissertation writing is going, and giving myself permission to post the informally worded, slapdash quickie explanation versions I give friends is somehow very liberating and helpful and I can get on with my life and so forth. This was (mostly) an email to a friend, so my language usage is totally messy and slapdash where I should be careful about terms — that’s entirely fine, fine, fine for now.

Thanks for asking. The writing is progressing, which is — that’s good, right?

It’s a tricky results section to write, because I’m actually kind of writing four results section and then a fifth meta-results-discussion section. Well, more like rewriting, and rewriting… it hurts to look at the folder with all of my aborted drafts. I’m writing four separate lens through which to look at the same data:

1. Curriculum is a thing that faculty make for the benefit of their students (they’re three separate things: faculty, curriculum, students — corresponding to self, world, and other.)

2. Faculty are learners who step into curricular experiences (broadly defined, not just courses) that have a long history of being shaped by others (faculty colleagues and students) Basically, instead of the three-separate-things perspective above, this separates the faculty “self” but lumps everything else together — the curriculum/world and the “others” in that world — as a soup the faculty learn with/in.

3. Curriculum and faculty are inseparably intertwined; past curricular experiences deeply influence one’s identity as a scholar and teacher, and one’s identity and values can’t help but spill out into the curriculum one designs and teaches. In other words, this one tangles up the faculty “self” and the curricular “world” (and separates out, for the time being, “others” like students and colleagues and external evaluators and so forth).

4. Faculty and colleagues and students are inseparably intertwined; they’re not uniform/same/ASSIMILATED BY THE BORG, but there is a sense of partnership and co-journeying and co-creation of the curriculum. This ontology separates all the “agential” (people!) parts of reality from all the non-agential ones (an inanimate “curriculum” as boundary object)

You’ll note that these are basically rearrangements and regroupings of the components in the first ontology (self, world, and other) — all possible logical pairings/clumpings of the trio, except for the one where everything gloms into everything else (that’s an ontology for the discussion section).

Each of these lens comes from my data, and each could be a dissertation in its own right. The point I’m trying to make is that these four lens coexist AND logically conflict and can’t be stitched into a calm, untroubled Frankenstein(‘s monster) — that the reality is super messy and full of tensions.

Simple example: is the curriculum for the benefit of the students, or the growth and interest of faculty? Oftentimes, it’s an “and” and not an “or,” but when they conflict… which lens do we make decisions from? For instance, if a professor can teach one more class without overloading, do we let her teach the advanced elective she’d be really badass at because it comes from her research (which a small handful of students would take), or assign her to teach an intro section for a subject she barely knows because we need to cover another faculty’s sabbatical (and lots of students are super-interested in the topic and need it for graduation)? No real right or wrong answer; depends on priorities, depends on the lens you use to view it… (this is not the greatest example but I’m rushing to explain while trying to figure out my next cup of coffee).

So the end result is really all four ontologies played and diffracted against each other, showing how each makes different things visible/invisible; it’s not that one is inherently “the truth” or “better” (all models are broken) but all of them (and more!) are present at the same time, and… hrnghh. It’s really hard to describe each ontology well and “prove” it’s there, and yet not spiral into the trap of writing FOUR SEPARATE DISSERTATIONS because ugh.

I keep pulling myself back from writing an entire dissertation for each sub-result in non-helpful ways; my prior attempts have all used a technique I jokingly refer to as “data vivisection” — taking a small excerpt and then picking it apart into the tiniest atoms possible. As in — I was diagramming sentences, obsessively tracing a pronoun’s referents throughout a paragraph — I kid you not. Tiny, tiny microscope.

And then, two weeks ago, Robin asked if that was actually the process I went through to arrive at my results, and my response was an immediate no. And then a headdesk. I see all the stories at once, but I’ve been living with them for two years — and I should be trying to convey that glorious big web to others, not…. 

Okay, back to it before my Ritalin wears out for the morning. And then postdoc things, because there’s a slidedeck draft I want to finish before 3pm. See you online.

(and rewriting, and rewriting… it hurts to look at the folder with all of my aborted drafts)

QualMIP Week 8: narrowing research question and unit of analysis

Part of the QualMIP series, introduced here.

Sparse notes again because of the busy time, but today each person:

  1. Gave an overview of the data collection/analysis they did over the past two weeks
  2. Had someone else in the group write an “abstract” consisting of 3-6 points they saw throughout our reported data. After a time of trying to diverge and divest ourselves of as many filters as possible, we are starting to converge and filter once again — but this time, much more consciously.
  3. Figured out what research paradigm they seemed to be working in (everyone is interpretivist for this project; I re-presented a version of the main paradigms for this discussion).
  4. Honed down on their unit of analysis and research question (by me giving examples and then everybody iterating on theirs with studio critique).

This is the last week before our Data Collection Cutoff. A constant part of our iterative focus is trying to make sure that our data and questions coevolve in such a way that the data can answer the questions. (I’m also thinking on how this dynamic scales up the next time I teach this as a course; I suspect more scaffolding and possibly even some readings will appear.)

We also looked at the classic paper “Body Ritual Among the Nacirema” as an example of… well, I’ll leave it to the reader to decide what one could use it as an example of — quite a few things, as it turns out. (It wasn’t assigned reading; we read parts of it aloud in studio, so my “no readings” rule stands unbroken.)

The infrastructure that supports a dissertation is ridiculous.

I’ll say it again. The infrastructure that supports a dissertation is ridiculous.

My infrastructure has a lot of “normal” things. I’ve got a place to sleep, food to eat, an advisor who both pushes me and gives me room. (I am incredibly blessed to be working with Robin Adams, and can only hope to pay this forward.) I have friends and colleagues who are feeding me, encouraging me on the days I’ve broken down in tears (yep, this project has done that). I have library access. We recognize these things as being in support of dissertations.

I also have a lot of other things. I have a car that works. I have access to paved highways that can get me to my office in a reasonable amount of time. I have access to gasoline — and food — at prices that I can afford in the economy I live in, with the job I have. I can fall asleep at night without worrying that my building will be bombed or that a family member will be shot.

I largely take these things, and more, for granted. I am not caring for sick relatives; I do not need to tend to children, and I’m a citizen of the country that I live and work in. I have so much privilege. So much. And it helps me progress on my dissertation because I don’t have to spend energy on these things… and can use that energy to write instead.

There’s also the infrastructure that I’m more acutely aware of — because it’s new to me, because it feels so much more fragile, so easily taken away. Most people aren’t affected by that infrastructure’s presence or its lack, so unnoticed failure is my job to flag, my contingency to plan for. Actually, a lot of people don’t think that I need it. I… used to not think I needed it.

But I do need the Ritalin that keeps my wandering mind able to look at something for more than a few minutes at a time, at will. I have willpower; I also have ADHD. And I can use that willpower to pour my considerable energy against itself, struggling and wrestling to even get myself to sit down, battle guilt, open a page — or I can use it to think, write, teach, serve — graduate.

And I do need the PT and massage that keep my hands from locking up, my neck and shoulders from screaming. I have the ability to stretch and exercise; I also have joint structures and use patterns that give rise to RSI. Even when I do self-care, if I do the typing/thinking/writing work I do, it keeps on coming; I could push through the pain until my muscles literally will not move on my command — I’ve been there and don’t care to go back — so yes, I need other people. People who can treat and unlock what keeps creeping up on me, people who can keep teaching me how to understand and work with the body I have, because this is the body I write with, the body that will walk acros the stage and graduate.

And I do need the captioning and subtitling and interpreting that allow me to understand things without lipreading, and the CI and hearing aid that make lipreading easier when I have to do it. I’m an excellent reader, lipreader, and bluffer; I’m also deaf. I can use my considerable powers of rapid mental analysis to guess at syllables for short periods of time — or I can use them to come up with knowledge nobody has ever thought before, knowledge that makes a contribution to the world. One of these things allows me to pretend I’m hearing when I’m not. The other is what I need to graduate.

I need this infrastructure just as much as I need a way to commute to work, just as much as I need to not scramble for clean water to drink, just as much as the other things that quietly and seamlessly support us. Will I die without these things — my ADHD meds, a car, subtitles, running water? Nope. Will it hit me in a way that makes it significantly harder for me to work, move forward, graduate? Yes.

And I’m painfully aware that some of my infrastructure is a localized and temporary patch. If running water stops, everyone notices. If I can’t get a talk interpreted… few people do. These things are sometimes ignored and forgotten because most people aren’t affected by their presence or their lack.

I just got off a two-hour phone call with my advisor. It was hard — for all the right reasons. It was amazing, it was productive, it was wrestling with difficult ideas. And for that to happen, I needed my advisor. I needed the invention of the telephone, the network that allows me to be in Boston sending audio to her tiny handheld device in Indiana. I needed the shared document editing and the wifi connection over which I sent my slide deck. And I needed the relay service interpreter who made it possible for me to understand how Robin was responding to my slides.

Take away any one of these things, and I’d have to find a workaround. Some of the workarounds would be more costly than others, force a rippling-out of more tradeoffs. Some of them live in the space that still makes it possible for me to graduate. Some don’t.

It’s not only about talent or willpower. If the world you live in doesn’t support your ability to use that talent and willpower towards something good — you might as well not have it. I want to graduate; I want to do good things. And in order to do those things, I rely on so much infrastructure… and sometimes it feels so fragile, and I stand in fear and gratitude for all the balances that bring us where we are.

QualMIP week 7: close reading of data

Part of the QualMIP series, introduced here.

Sparse notes today, because we worked with data that’s non-public… and I have about 5 minutes to write this blog post before my next meeting.

Today we went through a close reading exercise; we took my data from a prior project and read it — out loud — in small increments, with discussion in-between. Each person in the group took a small sample of data from a different respondent, effectively “adopting” them for the duration of the conversation — with the disclaimer that we were working from a limited dataset from people we didn’t know, so our guesses were exactly that: guesses.

In between rounds of reading their words, we talked a bit about what “putting data in conversation” meant. It can mean many things; do you see commonalities between “your” data and “other people’s” data? How do you think “your person” (the person who wrote the response you’re reading out loud) would reply to notes/thoughts from or about the other data/observations? If you were going back to do a member-check, what would you want to ask — and how does that help you think about the fieldwork you are doing now, where you still (might) have that opportunity?

In all these responses, we kept on trying to go back to specific phrasings and sections of the data to back up our guesses, working to keep awareness of possible biases we might be bringing to the conversation.

Honestly, right now — it’s hard to sum up in a blog post writing “about” the practice… we’re in the middle of doing qualitative analysis/fieldwork, not talking about it. Over the next two weeks, we’ll be responding to each other’s data (and doing a fair amount of self-care). I’ll be modeling half-hour bounded response sprints for each person’s data on Thursday, because one of the hardest parts of the semester is learning just how much work goes into qualitative research… how tiny and bounded projects need to be to actually get done.

QualMIP: interim game plan clarification

Part of the QualMIP series, introduced here.

This is public documentation of a message I recently sent to the group; there have been lots of changes/info floating around lately, so I brought them all into one place for clarity.

This email contains 5 parts:

  1. What you need to bring to Monday
  2. What I need to bring to Monday
  3. What we will be doing Monday
  4. What you’ll need to do between Monday and returning from spring break
  5. What I expect you to bring back to studio after spring break

What you need to bring to Monday:

  1. A data collection schedule for the rest of the project; your data collection time (observations, interviews, time spent with artifacts) should be solidly on each of your individual calendars. We’ll be creating a shared one on Monday.
  2. An annotated/scaffolded selection of your fieldnotes to share. Your scaffolding should include specifications of what you’d like your teammates to give back to you — think of it as giving them a small homework assignment. Your teammates will be working with it for the next 2 weeks, so point out hard parts, ask them good questions; put them to work for you. (I’ll be modeling this process on Monday, so we’ll leave time at the end of Monday to update your annotations and print them out — but you should have your data and your first attempt at scaffolding/annotating them before arriving, even if that scaffolding is a piece of paper with 2 sentences of context and 3 questions for the group.)

What I need to bring to Monday:


  1. My data, scaffolded for you to engage with it.
  2. Questions about your data collection schedule and your process and evolving focus.
  3. Encouragement. :)


What we’re doing on Monday:

12:00-1:00: (in office) Mel models data-sharing
1:00-1:30: (at lunch) — brain break time
1:30-2:00: (at lunch) — reflection/comparison discussion; what was I doing as I modeled? What can you do with your own data?
2:00-2:30: (on your own) — artifact updating/printing
2:30-3:00: (in office) Project forward planning, including another round of clarification on your research questions/data/methods, master schedule creation, and sending a participation opportunity list to potential collaborators from another professor’s research group.

What you’ll do between Monday and when we get back from spring break:

  1. Respond to your teammates’ data, using the prompts they wrote to guide you. Ask them for clarification if necessary; don’t feel like you need to engage with this all on your own.
  2. Collect/analyze more of your own data. Remember to memo! Leave traces that you think will help you later. Remember that your teammates’ data/prompts may inspire some of your own thinking.

What you’ll bring back from spring break:

  1. Responses to your teammates’ data, in whatever format they’ve requested.
  2. All your data, in digital or physical form. If digital, write what it is on a post-it so we have a physical representation (if you come a few minutes early, our office has plenty of post-its). We’ll be creating a master data inventory/taxonomy during the post-spring-break studio.

Braindump edition: playing with language to describe my research

I’ve been playing with language to describe my research. One of my old notebook pages describes it this way:

  1. Making surprises visible (about what, and to whom?)
  2. Helping others make sense of the surprises.

The first implies a sensitization process and an emphasis on emergence (without excluding a priori possibilities; we’re not blank slates). My approach tends to leave room for serendipity; I am curious about the unknown-unknowns, the things we don’t (yet) know we don’t know. The emphasis is on the self as sensor, the team as sensor network; we are viewing the world reflected in each other, and we don’t need to be able to understand or articulate something to mark it as possibly important to pursue. I think of research as embodied, situated, personal, communal, full of tensions and contradictions we don’t need to resolve right away. This part is more about the “us” — experiences with and within what we are already close to.

The second is more about enlarging that “us” — looking at that which is currently “other,” and linking it to ourselves. It’s where the development of a shared vocabulary comes in. It’s not that language doesn’t factor into the first part; these aren’t hard boundaries. The shared vocabulary may be glances, words, scholarly references, names, stories. It’s mutable. It’s not centrally controlled, and it’s not a perfect capture of the territory that it maps.

These thoughts aren’t terribly worked out yet, but I’m trying to practice ways of writing down the fluid. It feels exactly like that — drawing a pen through water, trying to cup something inside my hands that keeps on flowing out. I’m trying to immerse myself in the writing of people who do this well, who signpost tracks behind them with a wry reminder not to take their trail too seriously. I’m working on it. I’m trying. I’m doing what I know: vigorous sprints of exercise to clarify my thought, Ritalin, drawing… it’s hard, thinking. Thinking in new ways is just hard.

One snippet I found recently and liked: Noffke describes action research as a place where “understandings and actions emerge in a constant cycle, one that highlights the ways in which educators are partially correct, yet in continual need of revision, in their thoughts and actions. The process does not end, as with traditional notions of research, with richer understandings of education for others to implement; rather, it aids in an ongoing process of identifying contradictions, which in turn, help to locate spaces for ethically defensible, politically strategic actions.” (p. 4 of Action research and democratic schooling: Problematics and potentials.)

Another snippet, where I respond to the questions of what impact I want to have on students here, on Olin itself, and on the world — my answers, in a thin scribble:

Students: Teach attention and awareness of habits of perception, and ways to both create tentative categories and question them. Training on improvisation and communicating in the moment as a team.

Olin: Sharing our stories with each other and playing with language for describing them. Looking at parallels between student growth environments and faculty/staff growth environments and experiences.

World: Radically transparent qualitative research, postmodernism in engineering education, and (to my surprise — did I actually write this down?) deaf gain in engineering education. (The last one I wrote down in all lower-case, and I don’t remember if the un-capitalization was significant to my past self.)

There we go. Braindumps.

I’m glad this little notebook on the web is mine; I’m glad I decided long ago that it was for my future self, and that not everything I put out here has got to be coherent. I’m glad I keep upholding that decision at a stage in my career where classmates feel their presence needs to be polished, their publications need to be thought through — I’ll get there too, I also have edited publications — but I like putting some of the earlier stages out there, because something about it feels liberating to my mind; once others can potentially see something I’ve made, once someone else can take it on, then I can much more easily let it go.

QualMIP week 6: first project-focused “research meeting” and getting “better” at “this,” for some value of “better” and “this”

Part of the QualMIP series, introduced here.

Today was our first “research meeting” in studio – last week we wrapped up the technique-focused exercises and plunged full-steam-ahead into data collection, so this week was the first hurtling-back from that and was entirely driven by… what the group brought in. Sharing and co-analyzing qualitative data is a skill, and over the next few weeks we’ll be practicing getting “better” at “this.” I deliberately haven’t defined what “better” is, nor what “this” is — looking at the emergent definitions for those two terms will be part of our praxis for the data collection phase of QualMIP.

It’s a messy process, and a self-revising one, and that’s part of what makes these discussions so difficult; as the famous quote goes, “if we knew what we were doing, it wouldn’t be called research.” Everyone selected a subset of their data, fieldnotes, or memoes to copy and share. Artifacts analyzed this week included slide decks, photos of signs in the studied environment, and fieldnotes. Cesar and Emily were initially worried they wouldn’t be able to gather data because of their transport limitations in getting off campus, but found that the internet provided them with a wealth of complex documents to analyze.

The discussion was difficult but good, and one of my thought is “wow, how am I going to scale this up for more students, when I can’t be with every group?” I feel a tension between trying to be a good model vs. having students actively engage and drive. It’s something I’ll be watchful for as we go along, because I know it’s not a binary opposition (I can do both at the same time!) but I’m not sure how to actualize it yet.

From my perspective, one temptation that came up within the group today is the tendency to present “too much” data for the group to engage with. (I kinda expected this.) Giving others context for analysis, scaffolding discussion, and choosing which pieces to select for sharing are all sub-skills that take practice. We… will practice them. I’m pretty sure this blog post will prompt me to build more scaffolding for this activity for the later, larger run of the class next time around (that’s part of why I’m taking these notes now).

Another challenge is continuing to seek alignment between research question(s), dataset(s), and analysis methodolog(y/ies) as we journey through the mess. Technically, I should put paradigm in there as well, but last week’s discussion seemed to indicate everyone wanted to pursue a mostly-interpretative paradigm this time around (as opposed to critical, postmodern, etc). In future iterations of this course, I’d like to play more with the different paradigms, but interpretative is as good a place as any to begin.

Next week’s assignment is to continue converging on the data bounds (topic/site/type), research questions, analysis plans, and their alignment. The data collection schedule for the remaining two weeks should be crystal-clear, and the team will be bringing in another round of artifacts and memos and scaffolding for everyone to review “at home” so we have more time to look over and dive into one another’s work. We’ll also be revisiting the question of what “better” and “this” are in terms of getting “better” at “this” (whatever we’re doing in our studio meetings). We’ll be revisiting that question a lot.

That means that next week’s studio time will largely be occupied by… my data. This wasn’t planned from the beginning of the semester, but now that the team has gone through their first round of scaffolding others through engaging with their in-progress data and analysis… now it’s my turn. Part of the motivation is to give us a brief look at what a more experienced researcher does (I’ve already told them I’m not the best at this yet, but I’ve at least had more practice), part of it is to offer my practice up for critique because I’m not perfect either and that’s important to know, and part of it is to give us time to look over the project data “at home.”

I’ve offered the team a choice among some of my projects (at various stages in the process of completion) and will be modeling being on the other end of the co-analysis/critique/review/etc. process next week, and then we’ll step back and compare. I will not do it perfectly, and that’s the point; I’m hoping they’ll spot the weak spots I already know of, and also guessing they’ll catch things I have not yet seen. I’m looking forward to that last one.