Downloadable Resources:
- WoW Learning Research Project A4 poster (230 KB PDF)
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I’m now in week two of my first survey into learning, communities of practice, and World of Warcraft in support of my doctorate. The first part of the survey is collecting some in-game demographic details, such as how long people have played, what their first character was, favourite professions, etc. The meat of the survey, however, is a short answer question about why people play World of Warcraft.
I am still looking for additional responses and the survey is scheduled to close at the end of this weekend (April 18th). If you play World of Warcraft or know other players, I would be grateful if you could encourage them to visit the survey information page and participate. On completion, participants will be given a code to enter a draw for three Blizzard store pets as prizes.
Tweet, ask in guild, ask at university, or poke your workmates to pass the word along. Just remember that it’s only open to those 18 years or older as I’m interested in examining adults and learning and there are restrictions on participation in things by those younger than 18.
Thanks!
Interesting facts:
When you consider that World of Warcraft had more than 11.5 million active subscribers by the end of 2008 (Blandeburgo 2009), that’s more than 5.4 million people in an age group very interesting for my work in higher education via distance education. In particular, remember that these 5.4 million people are often very compelled (sometimes even addicted) to play. What is it that motivates these people and what real-life tangible learning benefits are derived?
Those are questions that I intend to answer in the WoW Learning project, a study of learning in World of Warcraft. Quietly built earlier this month and located at the memorable WoWLearning.org, it will be a repository for data, posts, and papers about my Ph.D. research into the learning, motivation, and communities of practice formation demonstrated by World of Warcraft players, both in the game and on forums.
As the project will include ethnographic work in World of Warcraft as well as surveys, in the interests of transparency and to help foster credibility, postings are made using my World of Warcraft character name “Elsheindra (Michelle)” instead of my full real name or commonly used Internet nickname of “Eingang.”
I’ve been thinking about the design of the study I want to do on motivation in World of Warcraft. My immediate approach, similar to introductory programming students, was to jump right into the meat of it and start writing survey questions instead of planning. In order to get the data you need in the study, you need to know what questions you want answered. You need to plan. Without knowing that, how can you write survey questions to elicit those answers? So what is it I want to know?
I have my annual Ph.D. review meeting tomorrow afternoon. As usual, I’m more than a bit nervous, especially as I made the big step this academic year of completely dropping my former Ph.D. work and starting a brand new topic that intersects the boundaries of my three main interests: communities, learning and teaching, and Internet-enabled technologies. As part of the review process, we’re asked to produce a 4-page report that explains what we’ve done since the last report. In your first year, this report ought to focus on your thesis proposal, although many students won’t yet have one. I do have some ideas about what I want to do and how I am going to go about it. I’ve made an online version so that it will be indexed and easily findable by others interested in World of Warcraft and e-learning.
The 30-second summary: Examine how metaphors and game design of World of Warcraft motivate people to learn and to work, with an eye to transferring motivation, social knowledge building, and persistence to online higher education practices, like community building for lifelong learning.
Click the “More” link below to continue reading the online version of the proposal and progress report. A downloadable PDF version is also available.
For the last several months, I’ve been engaged in various activities all with the same intended goal: generate a concrete idea about what specifically I want to look at in Michelle 2.0, my new Ph.D. I’ve been mind mapping, writing permutation programs, brainstorming, discussing, writing essays, and writing thesis proposal plans. The most successful thing was probably having to sum up what I’m doing briefly for a visitor to the research lab’s weekly meeting this morning. While it answers the Twitter question “What are you doing?”, it’s too long to fit in 140 characters but it does fit into 40 words.
Q: What are you doing?
A: Looking at how metaphors and game design of World of Warcraft motivate people to learn and to work, with an eye to transferring motivation, social knowledge building, and persistence to online distance education practices, like teaching and community building.
There you go. Now we all know!
I’d just like to point out, though, that my ability to verbalize it so coherently and concisely is a result of all the other writing and thinking I’ve been doing. If I hadn’t written the essay in November and the extremely rough paper outline for a thesis proposal on Sunday, the idea would not have coalesced so concretely. Time, background cogitation and serendipity seem to be strong features of my new Ph.D. For me, not knowing exactly what I wanted to do, has been sharply focussed by talking, reading, writing, and going to seminars. It doesn’t matter what the seminars were or how relevant. It’s amazing how much I’ve drawn out of the motivational reading group I was participating in when I didn’t even know I was interested in motivation. Connections appear where you least expect them. The important thing is to take the leap and do.
Sometimes you have to be smart enough to realize that the battle you’re fighting isn’t one you are going to win or even sometimes one you want to win. I walked into my supervisor’s office in September and told him I was throwing away all my document similarity and agents work from the last twelve years.
I took the leap.
I landed in a new Ph.D. project in the same research group at the University of Sussex but in a completely different area. Good bye, information retrieval. Hello, educational technology.
Not only do you have to be smart enough to realize you can’t win at some things, you have to be smart enough to realize that you should be doing what you’re already good at and have been doing. My seemingly impetuous decision is not as foolish as it might sound. I have been working in online distance education using educational technology at the Open University since 2000. I am based in a group at the University of Sussex studying how technology can be used to scaffold learning. I am in daily contact with other educational technologists, practitioners and researchers, via Twitter and other social networks on a daily basis. I belong to that community. It’s time to trust my instincts and do what I am.
Welcome to Michelle 2.0.
When I was preparing for my thesis committee meeting earlier this year, one of the things I did was prepare a project timeline. In order to do that, I spent ages testing out project management software again, because working with FastTrack Scheduler was so frustrating and unrewarding. After a lengthy but rushed evaluation of several products, I ended up going with a relatively new product called Merlin from a German company. While Merlin isn’t perfect, it at least wasn’t frustrating to use and its import/export facilities meant that I could overcome some of its reporting deficiencies through the judicious application of other applications.
The IDEAs and Interact labs are having an “away” day tomorrow. It’s part of our plan to forge bonds between the groups and provide a supportive atmosphere. As part of the festivities, we were entreated to spend no more than an hour creating an A2 collage to illustrate our lives, our research interests, and our influences. Of course, few us spent an hour. Mine is all digitally produced, my temporary housemate’s is digitally produced, and one of the new faculty was caught superimposing herself into a picture with Michael Moore.
As for my own, I chose to produce it on four A4 sheets and try out Apple’s Pages layout software, part of their new iWork package. Using one of their photo journal templates was satisfactory enough, but I found it more difficult to intuitively work with than FrameMaker or InDesign. Perhaps because I’m just more familiar with traditional DTP/layout programs.
It actually proved more difficult than I thought. In the end, I settled on a page about my research, my life in general, and my teaching, with the fourth (which is actually the first page) dedicated to general keywords related to my life. See the final collage pages.
I had a good meeting with Thufir on May 14th, lasting almost the full allotted hour. This was because I’ve recently had a breakthrough with my MATLAB analysis and can quantitatively evaluate the similarity between different people or different algorithms with my multi-dimensional scaling (MDS) diagrams. I took some output to the meeting which compared my half-baked algorithm against the cosine normalization version. Both use hypernyms, but how they weigh the hypernyms is different. My automated analysis algorithm also produces an MDS cluster diagram as output for each of the data files provided (see anal1ahyper and anal2ahyper).
Anal1a, in terms of clumping, doesn’t look very good, at least not anymore. That was not previously the case, but I had revised my algorithm to make it symmetrical as per the insructions of a computing statistician here at the University of Sussex. He claimed that the Procrustes Rotation needed symmetric data and my nonsymmetric data, where Doc1 vs Doc2 didn’t have the same similarity as Doc2 vs Doc1, was not going to work. That change has, I believe, altered the efficacy of the algorithm and things are no longer clumped together as promisingly as they were previously. The clumps should be a two- or three-letter short code followed by a digit. Therefore, ac1 and ac2 belong together. Pl1, pl2, and pl3 belong together, and so on. The clumping is significantly better in the already symmetric cosine normalization algorithm (anal2a). The two speech processing documents are clumped together (sp1 and sp2), all of the Power PC and G4 documents are together (pp1, pp2, g4c), and the three Pine Lake tornado stories are clumped far away from everything else (which is all computer-related) and together on their own. Excellent clumping, in fact. So the hypernym hypothesis looks like, on these short documents, it is working well with cosine normalization.
Here’s the final bit of loveliness: comparing one MDS cluster diagram against another. MDS output is mapped to the vector space independently. That is, the same data will produce the same visualization or mapping, but different data is mapped to a different vector space, so you cannot just compare one MDS matrix to another directly. That is where Procrustes Rotation comes in. It applies a series of intelligent matrix transformations, trying to map the second vector matrix onto the source vector matrix. As a side benefit, essential in my case, it always provides a fitness measure to tell you how close the two were. on a scale of 0 to 1. So these two, as you can see (see above image), even after the transformations, were not that close together. As it happens, though, this is not particularly useful information to know. I am currently more interested in assessing how close the two algorithms are to human classifiers.
This recent success gave us plenty to discuss, particularly with respect to metric and non-metric data. The MDS community calls source data metric when the similarity or dissimilarity data is symmetric. That is, the value at row 2, column 1 is the same as the value at row 1, column 2. Classical multi-dimensional scaling (MDS) is designed to only work with metric data. SPSS includes the ALSCAL and PROXSCAL MDS algorithms which can work with non-metric data, but MATLAB’s classical MDS does not because it treats things as Eucledean distances–another reason why I had to alter the Anal1a algorithm. The primary reason I now had metric data for everything, however, was because the computing statistician had told me I needed it for the Procrustes. Hawever, as we were examining my output, it occurred to me that Procrustes did not really care if the data was symmetric, so long as the dimensions of the data were the same (the same number of rows and columns). Which leads us to question whether the application of the method is statistically sensible or not. To that end, I need to track down a new computing statistician and perhaps a mathematician and discuss the process with them. My original computing statistician has retired.
Earlier I said that comparing one machine to another, to see how they fit is not useful information, but what would be interesting is to prepare a matrix of all the possible combinations of human judgements, cosine normalization, and weird formula:
cosine wrd form. human cosine (anal2a) x weird formula (anal1a) x human x
So that is my task for my next meeting (on the 16th of June). Before then, I need to figure out how to get MATLAB to take multiple tables as data. In SPSS, I could paste in several tables (representing all of the people’s individual data, for example) and it would work with that. That is necessary in order to aggregate the peopel to do the comparison. Onward ho, then! Progress at last!