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Is Blogging worth it for the aspiring academic?

After spending most of yesterday catching up on blogs, Facebook posts, twitter and linked in, I began to wonder if it was worth it and how I would I would measure the value (in academic terms) of my day. First of all I should note that the day was a pleasant one, with a few good articles uncovered, a joke or three, time wasted trying to find closed articles mentioned in open repositories, a few new slides for upcoming keynotes, updates on a number of colleagues, some interesting conference to keep in mind and a great of peripheral knowledge that I have no idea if it will ever have any use.  But was it worth it??

Like most academics, I’m evaluated annually based on three expectations:

1. publishing peer reviewed articles – how many depends on the discipline and the institution, but a quick scan of my CV shows 53 articles in 11 years or more than 4 a year.  Throwing book chapters and full books in adds more brownie points.

2. Teaching – At Athabasca in our graduate program the normal load is only 3 semester courses per year, so I get off quite lightly. We do however have many MEd and EdD students to supervise.  The quality of the courses and my teaching is not assessed very rigorously- as long as there are no students pounding on the Dean’s door.

‘3. Service – a large number of activities falls under this criteria, but certainly suffering through administrative and academic committees meetings within the university counts, as well as public service activities. Fortunately at Athabasca, most meetings in our “distributed workplace” are help online or on telephone, so I shameless multi-tasked through many meetings.

The relative weight of each of these three is both arguable and varies at different institutions. But most Canadian universities seem to be weighted around 40/40/20%.

Now how did my net activities relate to these measurable outcomes?  Certainly one can make a note in one’s annual report about how many blog posts you have posted, how many Twitter followers you have engaged and if your how many hits on your presentations in Slideshare or YouTube – but these don’t count for much in themselves. And worse, they may be seen by faculty evaluation committees (especially those members who do not have a significant Net presence) as a waste of academic time.

I did bump into articles that were recommended on Twitter – I think for three of them I downloaded the citation into my reference manager- hopefully for appearance in future articles. Thus, some potential benefit to my publishing work for this year. I also tweeted and blogged, and copied the URLs into a research course that I am continuously updating -teaching work. And finally my tweets and posts are bringing some limited fame and acknowledgement to Athabasca University and the Centre for Distance Education where I work- public service.  But pretty hard to make direct measurements of these activities on the ‘big three’ listed above.

Finally I had an interesting discussion with a colleague yesterday, musing about this issue and heard the very familiar complaint that he can hardly keep up with email and just doesn’t have time or interest in more net activities – reading or writing. Unless of course, he gets a filtered recommendation on something from myself or other colleagues.

So, today I am wondering how the question of how much effect does Net presence and activity have on academic careers could be empirically resolved. Of course, it isn’t very likely that a control group, longitudinal  experiment could be done, so one would likely have to settled for correlational data. But what data counts – Number of posts? number of followers? Number of “retweets”? and what would be the dependent variables- time to promotion to tenure and/or full professor, number of keynote and invited presentations?, number of articles pushed? number of citations or H-index from Google Scholar?  Probably the H-index would be easiest, but there are many questions about Google Scholar- none of which are resolved by the lack of transparency in the way items get counted.

I can certainly think of super-star academics (- in our field George Siemens, Grainne Conole, Tony Bates, Steve Wheeler and dana boyd come mind) – who have good academic ratings and are very active on a number of platforms. But I can think of an equal number of strong academics (Randy Garrison, Manuel Castells, Michael Moore and Phil Abrami)  who to my knowledge have no or very limited net presence. Looking at the names I’ve listed I see there MAY be a small correlation with age, but certainly there are many exceptions.

So let me throw this out to researchers on the net. How do you measure the value of net presence on academic career success?

Hmmm, I wonder what the academic value of this musing has been.

 

 

Why you should do design based research (DBR)

In this post I’ll review and respond to two useful posts by Rebecca Hogue – Why you shouldn’t do Educational Design Research Part 1  and Part 2.

First of all I think the title is quite misleading, in that my reading of it provides amble reasons for doing DBR, in line with the literature. Perhaps I should allow a bit more literally license, but I expected the posts to be attacks on DBR itself as a mythology for doctoral student research. However, the series does highlight contexts and understandings which are inconsistent with DBR and thus is of significant value.

 

My second problem, is that Rebecca urges the readers to first read her article:

Hogue, R. J. (2013). Epistemological Foundations of Educational Design Research. Paper presented at the World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education.

Unfortunately, she only provides the link to the article in the EdIT database, which charges for access. I was able to access it through my University, but I urge Rebecca and others to NOT submit her work to closed sources (if possible) and to post the article in open fashion if you must give copyright away. Let the copyright police get after you. The worst that can happen is a cease and desist order, unless the copy owner can proof significant economic loss from the infringement.

The first post notes the underlying epistemology of the DBR research paradigm. Pragmatism  supports and defines DBR, action research, many “mixed methods designs” and some types of grounded theory. In the post, Rebecca does a great job of explaining the differences in research design, research questions and methodologies that do not create a ‘mismatch’, with the overarching research paradigm. She gives a good example of why students interested in the nature, phenomena or experience of learning, should be using interpretive paradigms and not pragmatic. One can easily provide additional examples of valid research questions that really are only a match with positivist or critical research paradigms.  Both her article and this post provide amble evidence for the particular epistemological underpinnings (Pragmatism) that are associated and she argues, and I agree, are  required of a DBR research project.

She goes on talk about the output of a “design” as itself being a valid research output. I also agree, but always urge my DBR students (from my own pragmatic world-view) to provide emperical evidence (qualitative and quantitive) that their design has or has not worked – that is as important a contribution to the research as is the design.

The second post is more “pragmatic” and gives 3 potential “show stoppers” which can derail a DBR research thesis.

The first deals with time and notes that a dissertation takes time and the problem should still be around when committee, ethics and a zillion other delays have been surmounted. I would add the converse, that DBR studies almost always involve multiple iterations. This is fine for an established academic to build a research agenda upon, but is nearly impossible for a DBR student who wants to graduate with the decade they begin!!  In science a PhD student can often do a small piece of a research agenda being enacted within their supervisor’s “lab”. Unfortunately, in education due to funding problems and lack of clear and concrete identification and action on particular problems, doctoral students often have to create and define their own research problem and context.

Jan Herrington et al have addressed this issue in more detail see:

Herrington, J., McKenney, S., Reeves, T., & Oliver, R. (2007). Design-based research and doctoral students: Guidelines for preparing a dissertation proposal. Paper presented at the Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications, Vancouver. Retrieved from http://researchrepository.murdoch.edu.au/6762/

As an aside, note how the above article was published and likely owned by EdIT but there are 5 other versions (including the uRL above) of the article (mostly in University databases) available.

A final constraint that I would as is that the intervention must be feasible and cost effective. If one is designing for example a mobile app, one needs the resources to actually create a compelling app that likely needs to run on multiple operating systems. Without resources and time, the design may fail, not because it isn’t an effective design, just that it can’t be built within the contexts of the environment in which it is designed to operate. DBR is pragmatic in more than just the epistemological sense of the word.