Researching is so hard and takes so long. I used to spend weeks preparing research. When I applied for PhD places, in 2005 and 2006, I spent a week at a time preparing my proposals for research. Usually the form asked for how it fitted in with existing literature but I had no idea, neither about the literature nor where to find it. Now, some years later, I listen to experienced academics discussing prospective research, a research quest to propose and contacts to network with for access. How sophisticated!
When I started the Masters in Research, I had no idea about academic journals, what they offered or where to find them. Yet I’ve just completed a systematic literature search of a business topic within days! What happened? I learned:
- about different sources of information
- relevant academic sources
- how to search
- how to keep an audit trail of my search
The technology helps. There are now
- academic databases
- citation software
- analysis software
These all help a researcher work as quickly as the ideas flow, without any hold up to visit some distant library to find a tome, methodically write notes and copy details. Douglas Coupland in the FT says we’re “rebuilding our neural structures”. When it comes to researching the literature, I’ve rebuilt mine .
The JuxtaLearn project requires us to specify performance factors for video-making of tricky STEM (Science, Technology, Engineering & Maths) topics that students are learning. The idea is that first the teacher gives a lesson on the topic, and then the students collaboratively create a video to explain the topic themselves. So there’s this juxtaposition between the perceived dryness of STEM subjects and the creativity of performance. And the learning comes as they grapple with the concept, find the words – perhaps new words – to explain it to each other, and to find a creative means of explaining it more widely in a performance format – i.e. a video.
So how do we set up a system to support a school or university in making such videos? I shared initial ideas with colleagues (see the performance specification video at https://vimeo.com/82879649) and got some feedback. After adapting slightly, I’ve uploaded some ideas at slideshare.net at ….
Does this make sense to other readers?
I blog without obligation, as and when I’ve something to blog about. During my PhD, blogging started me writing, recording the process, thoughts and ideas that sometimes were worth remembering, Now, at post-doc, it’s different.
One reason it’s different is that post-doc research isn’t lonely, not a one-man job like a PhD is, but team-work, so thoughts and ideas can be, nay, must be shared, with team members, and loneliness no longer provides that need to blog to someone, anyone in the world who might know something about your topic and be interested enough to reply.
Another reason that makes blogging different post-PhD is that being team work, it’s not for one person to make public what is the team’s effort. For example, I’m on an EU project called JuxtaLearn, and its news and progress is recorded on its website at http://juxtalearn.org/joomla/. The initial news as the project started was available on the various university web sites, such as the Open University’s Institute of Educational Technology at http://www.open.ac.uk/iet/main/research-innovation/research-projects/juxtalearn and http://www3.open.ac.uk/media/fullstory.aspx?id=23649. Gradually more partners are posting news about progress, such as the SME partner, Catcher Media, and the JuxtaLearn website will have news items and a blog .
I’ve got work to think through and develop for this project – I have to write guidelines to making a JuxtaLearn video performance – step 4 of the process that you can see in this diagram.
I’ve started discussing these guidelines with some team members, but a team of European universities (in Spain, Portugal, Germany, Sweden & the UK) and an English SME is spread far and wide. Now guidelines must be read by people who need guiding, and I need to know they work before giving them out as definitive, so I’m going to be blogging these guidelines. Whether I blog here, or on the JuxtaLearn site, is not yet clear. But now that I have something to blog about. I’ll let you know.
Two years after completing my PhD, I compare work with expectations. Several fellow PhD students went on to teach, though that stints their opportunities to research and publish. If you like teaching, carry on. But some don’t want to teach.
One of my colleagues, having taught for a couple of years did some interesting work though a voluntary position (the Olympic games), presented her findings at conferences, and has now got a research position, but as self-employed. Another sadly, was rejected for a Research Associate position and having no renewed teaching contract, right now doesn’t know what to do for a job. She assesses doing a PhD as a waste of time, money and energy so far.
I don’t think the PhD was a waste of money, time and energy for me. I had a scholarship, which was worth a lot, so I was prepared to invest my time and energy on the learning process. Mind you, the way I would have earned it, teaching ICT in a local school would have required a lot more energy and driven me to a nervous breakdown. In fact, now I have skills that I would like to go back to the school with and share with my students: public speaking, the use of technology in the classroom such as getting them to use their phones to photograph the board or record discussions, research skills such as searching on line for information. But I am not going back to a secondary school classroom. I’ll plod on with what I’m doing. You know, some people do two PhDs, and I know that if I could get the funding again, in a fun subject, then I’d seriously consider doing that!
But on the other hand, now I find I enjoy working with others in a research team and learning collaborative skills, collaboratively.
Do you find you’re now working on something you never thought you would when you were planning your career? The variety of experience that you accumulate might allow for creativity; playful combinations create new ideas (Mednick, 1962). Working across disciplines allows you to bring ideas from one experience to another. You’re being a boundary creature (Adams, 2013).
As a research associate, it’s wonderful to be working with other people instead of isolated on a PhD. A PhD should be a research apprenticeship, but an apprentice learns sitting next to Nellie, not in isolation. Now I learn from the others around me, work in a team with people who have experience in other disciplines, and share my scribbles with peers not just supervisors. Now, I see project management in action having been exposed to the vagaries and wonders of electronic portals such as Glasscubes and Box.com.
Interdisciplinarity becomes important now. My PhD was under the auspices of the business school, proposed from my business experience but I worked in business IT; I can program and analyse, which is why I now tutor so many technical and computing courses, and I’ve achieved my aim – to be a hybrid. However, in moving between disciplines, I realise that I don’t know how to access some papers, such as the ACM conference papers, which are very important in my new fields. Indeed, I don’t know the fields well enough to realise when a pair of words represent an important concept, not just a piece of management speak. For instance, an EU deliverable requires identification and specification of “orchestration factors”. For four days, I meandered around the wrong literature looking for “orchestration”. Thank goodness for team work – a colleague said, “Dillenbourg” and I was immediately into the right realm.
Interdisciplinarity then comes with advantages and disadvantages, pitfalls and pleasures. Enjoy the pleasures
Pat Thomson blogs on interdisciplinarity http://patthomson.wordpress.com/2012/02/11/why-it-is-helpful-to-read-out-of-your-area/
Adams, A., Fitzgerald, E. & Priestnall, G. (2013) Of catwalk technologies and boundary creatures, ACM Transactions of Computer-Human Interaction (In Press).
Dillenbourg, P., Sharples, M., Fischer, F., Kollar, I., Tchounikine, P., Dimitriadis, Y., Pablo Prieto, L., Igancio Asienso, J., Roschelle, J., Looi, C.-K., Nussbaum, M. & Diaz, A. (2011) Trends in Orchestration: Second Research & Technology Scouting Report. STELLAR Consortium
Mednick, S. (1962) The associative basis of the creative process, Psychological Review, 69, 220-232.
I’ve been so busy learning about research, researching with others instead of on my own like you do in a PhD that I haven’t had time or thoughts to blog. Shortly after my last blog posting, I joined another research team, so I’m now working on two research projects. One is about older people on-line, and one is about juxtaposing learning and performance.
I’ve been consolidating the learning I did on my PhD but also learning more, like how to run focus groups, and how to set up an analysis database that I must share with others who might want evidence from it. I’ve used qualitative data analysis software (QDAS) before, and set up codes for analysis, but not shared my codes. For example, if you’re looking at the advantages of participating on line, an advantage might be physical, and I’ve created a node in the database called ‘physical’. But that’s not enough to share with someone else. Like using one character identifiers for variables in programming code, it’s not self-descriptive, and I must rename it ‘physicalDifficultiesSurmounted’.
The JuxtaLearn project is an EU project and seems to involve an awful lot of paper work and bureaucracy, but then there are lots of people researching together, people from Portugal, Spain, Germany, Sweden as well as the UK, and we all have different things to do. Apparently, what we do comes in work packages (WP) and there are nine or ten work packages, and each work package has deliverables due at various times over the next three years. So you can see that serious project management is needed to pull all these packages together in the right order and on time, or at least in time. It’s an interesting project because it is about learning and technology, both of which interest me. Learning’s about what people do and I can’t think of anything better than researching people and technology.
- coding text
- collecting interviews
- coding and analysing interview transcripts.