2 tools to help PhD students make their thinking visible

In this post, I share two ways to map your thinking, at different scales (rather like geographical maps)…

CQOCE Diagrams (or “Thesis Maps”)

One of the challenges that most/all PhD students have is to make their thinking visible — to themselves, to their supervisors, and to other researchers. There are so many potential ideas to weave into a narrative, and often different narrative pathways.

In our Learning Analytics PhD Program, we’ve been using the unpronounceable but very useful CQOCE diagram described by Luis Prieto in his Happy PhD blog. I encourage you to learn more about this:

“the diagram is commonly used in the introduction section of a dissertation, and it is meant to introduce, in graphical form, some of its main elements: the research Context, main research Question, Objectives, Contributions of your thesis and their Evaluation. However, many of us have also used it way before starting to write the dissertation book itself, as a “guiding star” when discussing with others and planning the thesis work.”

We have also been using it not just as a writing up device, but as a challenge right in the first year, to get doctoral researchers thinking about their thesis story. I tend to just call it the Thesis Map! As Luis comments, this goes through many revisions as the PhD takes its twists and turns. So in the end it serves two key purposes:

  1. As a mirror for the supervision team to reflect on how we’re doing — “Oh, the contributions I thought I was making don’t align with the Research Questions…” “What kind of evaluation will be needed next year to back up this claimed Contribution 2?…”
  2. As a navigational aid — a map — for the reader of the thesis, or indeed, for the audience if it’s used in a talk (“…in this talk I’ll be covering only this part of the map, but it shows you how this is a stage in a longer journey, in a  wider landscape…”)

Here are two recent Learning Analytics theses that use this, from Vanessa Echeverria and Carlos Prieto.

Echeverria, V. (2020). Designing Feedback for Collocated Teams using Multimodal Learning Analytics

Prieto-Alvarez, C.G. (2020), Engaging Stakeholders in the Learning Analytics Design Process

        

Note that sections of the map can then be introduced in each chapter, to remind the reader where we are on the journey.

Argument Maps

The Thesis Map provides a macro-structure for the thesis argument: once you’ve bashed your map into shape, then your high level claim to have evidenced contributions to advance knowledge that addresses important RQs just drops out naturally. But there will be many micro-level arguments in the thesis that are invisible at this scale.

Zooming in, we’re experimenting with Argument Maps, that make visible more detailed moves. Here’s my briefing during a PhD session which introduces some basics…

2 weeks later, a couple of researchers shared their maps for feedback, and both commented on how it helps clarify thinking. Thanks to Ben Hicks and Gloria Fernandez-Nieto for jumping in!

Ben used the freely accessible ArgDown website which uses a classic Argument Map notation, enriched with optional colour-coding from #tags:

Gloria used the free Compendium tool that my team developed at KMi Open University, using the IBIS notation (QuickStart Guide to install):

Note: Al Selvin inventor and power user of Compendium, used it to create multimedia maps of his thesis thinking and qualitative data analysis [screen demos], incorporating many kinds of documents (which can be dragged and dropped onto maps).

    

Far more info on Knowledge Cartography is available if this interests you.

I hope these help you make your own thinking more visible — to yourself, your supervisors, and the world  🙂

How to approach a potential PhD supervisor

I regularly receive emails from hopeful students wanting to do a PhD, and I frequently decline with similar feedback. Supervisors differ of course in what they look for, but I thought I’d blog these points in case it helps you decide whether a PhD is the right thing (whether or not with me!).

Demonstrate that you understand our work, and can position your interest in relation to this. If you’re seriously proposing to work on a project for 3-4 years of your life, show me how interesting you find it — so interesting that in fact, you’ve read some of the key literature, and specifically, our work.

  • Research groups are normally looking to build a research program in which each person’s work adds a new piece of the jigsaw to an emerging picture. Your PhD experience will also be massively enhanced when surrounded by colleagues interested in your work, and able to connect you to key ideas and people that will help you.

Attempt to propose a research question. This may well be over-ambitious, and in fact you’ll spend your first year (possibly longer) reviewing this, but a PhD is driven by an RQ, often broken down into 2-3 sub-questions. These will run as a “red thread” throughout the whole thesis: everything you do will be tied to these RQs. To help you do this…

What do you think your contribution will be?  In other words, indicate what you think answers to the RQs might look like. This is your first attempt to articulate your potential “contributions to knowledge” — which is what earn you a PhD.

Do you have any idea what a PhD thesis looks like? Before deciding you want to set sail, why not check out the different kinds of PhD I’ve supervised recently, and see what it is you’re promising to deliver? :-). [See also the SoLAR PhD Thesis Hub for more learning analytics PhDs]

Clarity of argument. English may not be your first language, but I’m looking for clarity in your thinking, even if the words are not perfect. However, your thinking will be judged by your writing, so good academic English will be important.

  • There are free resources online now that can help with your academic English, such as Academic Phrasebank.
  • I strongly recommend you take this one hour UTS Open taster, an interactive tutorial on how to write a research abstract.This explains the key building blocks in an archetypal abstract — basically: Why should we care about this topic? What don’t we understand yet? What are you going to do about it? If you make these moves in your proposal, it will have a sound structure. This also enables you to try out AcaWriter, one of the instant feedback tools CIC’s developed, on your own writing.

Apply in time to revise your proposal. Check the deadlines, and ideally, get in touch months ahead to start the conversation, because…

If your proposal has promise, I’ll give feedback. Take this feedback on board, or argue back if you disagree. I’m assessing your readiness to take criticism, as well as your readiness to take a stand.

Clever coding ≠ a PhD. When a technically proficient developer applies, they sometimes think quality = developing some extremely cool functionality. A PhD may well include exciting implementations as a proof of the concept, and as a way to evaluate the idea with stakeholders — but at least in my field, it’s the conceptual contributions advancing the field that count.

Recommended books. 3 books to consider, and note that the first two major on the “non-academic” dimensions of doing a PhD: