* E1n1verse – WoW, Learning, and Teaching by Michelle A. Hoyle » phd1ng
  • WoW Survey Design: Putting the Horse Before the Cart?

    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?

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  • Levelling Lifelong Learning: Annual Progress Review

    Elsheindra the healy-dealy night elfI 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.

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  • What Am I Doing? The Two-Sentence Summary

    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.

     
  • The Times They Are A-Changin’

    “Something has changed within me
    Something is not the same
    I’m through with playing by the rules<br /
    Of someone else's game
    Too late for second-guessing
    Too late to go back to sleep
    It’s time to trust my instincts
    Close my eyes and leap.”

    Lyrics from Defying Gravity, out of the musical Wicked.
    Lyrics and music by Stephen Schwartz

    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.

     
  • Some Magic with Merlin

    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.

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  • Collage Creation

    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.

     
  • Metric MDS & Data Delivered

    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).

    Multidimensional scaling visual representation of document similarity using Anal1a

    Multidimensional scaling visual representation of document similarity using Anal2a

    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.

    Visual representation of Anal1a mapped onto Anal2a using Procrustes Rotation

    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!

     
  • Dirty Data Done Dirt Cheap

    I have to confess to feeling a bit stupid. I have been struggling with MATLAB for weeks now, trying to get it to read in my data files so I can automate my analyses. My data is in a tab-delimited file and looks something like:

    Doc1	Doc2	Doc3	Doc4
    Doc1	100	76	18	91
    Doc2	76	100	22	35
    Doc3	18	22	100	65
    Doc4	91	34	65	100
    

    This is not too dissimilar from the labelled diagram, part of the MATLAB documentation on data importing. Except that, if you look at the table below it, which describes which functions to use, they don’t have a function with a similar example to their labelled diagram. Early on I thought I should be able to use dlmread, which allows you specify rows/columns for starting points or a range. My idea was just to have a range which excluded the non-numeric troublesome labels. No matter what I did, though, I could not get it to work. It was frustrating, because I could paste the data into the Import Wizard and that could handle the data fine. I wrote people, I researched on the web, and I tried all sorts of things.

    Eventually, I came full-circle back to dlmread and experimented by making a small data file with unrelated data in it. That worked fine. So I then copied half of one of my data tables into the test file and tried that. That also worked fine. I copied the whole data table into the test file and used dlmread on it. It worked fine! What was the difference between the two identical data files other than their filenames? When I uncovered the answer to that, I kicked myself. My data files were generated years ago and stored on my Mac OS 9-based laptop. My laptop and the data have since migrated to Apple’s swoopy BSD-based UNIX goodness and that’s the environment that MATLAB runs under. So… Have you guessed the problem? Yes, it was linefeeds! The data files had original Mac linefeeds and MATLAB wanted UNIX linefeeds. D’oh! It just goes to reaffirm that the things you don’t see can really hurt you.

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  • Anonymous Advertising in Poster Power

    I was talking about my recent posters the other day with Teetee/Pi. He was asking me questions about how to interpret Figure 3 which shows the clustered output that results after feeding similarity data into the multidimensional scaling algorithm. I didn’t have a copy of the page handy, so I pulled up the PDF version and happened to notice that the one-page version of my poster, destined for an ordinary sheet of paper, no longer had my name or my e-mail contact address on it. The only thing on it was a pointer to the three-page version of the poster on this web site.
    Oops! Oops! Oops!
    I was short on time when it was decided that a handout-sized version of information was needed, so I’d had my Sweetie build me the single page and the three-page versions based on the finished poster design. He got a little overzealous about saving space and, well, managed to axe the contact and affiliation information. It was missing off of the three-page version, too.
    Alas, I didn’t discover this until after the Open Day, so the damage has probably already been done. Nevertheless, I’ve prepared new versions of both documents with this information intact and added page numbers, where appropriate, to boot.
    Live and learn! Don’t be so concerned with the content that you fail to see the forest through the individual trees!
    Downloadable Resources:
    - A4 (regular page) handout sheet
    - 3-page PDF version

     
  • X11 Xgfhfh!!xxxhgf74!!

    I was trying to get X11 launching applications from the department’s Solaris server again. As before, I couldn’t immediately get it to work because of “magic cookie” authentication issues. I reviewed my previous notes which pointed to an article at MacWrite.com which might have helped before, but it was suddenly unavailable. The WayBack machine to the rescue. As soon as I had edited my /etc/ssh_config file to include the following information, I was good to go again:

    Ciphers blowfish-cbc, aes128-cbc, 3des-cbc, blowfish-cbc, cast128-cbc, arcfour, aes192-cbc, aes256-cbc
    Compression yes
    ForwardX11 yes
    Protocol 2,1
    RhostsAuthentication no
    RSAAuthentication no
    UseRsh no

    Note: It may be necessary to take out the extra spaces between items in the Ciphers list.

    That, of course, assumed I had already had an entry in my ~/.cshrc file to the effect of:

    setenv DISPLAY :0.0

    Then, I can simply use a variant of the following to, for example, launch dtterm:

    ssh -X eingang@machine_name.com /usr/dt/bin/dtterm

    MATLAB, unfortunately, doesn’t seem to work at all. It used to generate all kinds of font errors looking for various Sun fonts, but it did launch. Now it launches with all the font errors (see sample below), shows the graphical about box and then we’re in the command line environment instead of the GUI development environment.

    Font specified in font.properties not found [ urw itc zapfdingbats medium r normal * %d * * p * sun fontspecific]
    Font specified in font.properties not found [ urw itc zapfdingbats medium r normal * %d * * p * sun fontspecific]

    Note: All the ‘-’ characters appearing inbetween [] above have been changed to spaces to render better in HTML.

    I’ve mailed the Mac technical support person to see if they have any ideas as to why it no longer works and how it might be possible to fix the font errors.