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The new blogs.educationau.edu.au site

Those who read this blog via an aggregator are probably not aware that we’ve just pushed out a refreshed front page for the blogs.educationau.edu.au site:

blogs.educationau.edu.au
You’ll note that this now exposes blog post categories in the now-traditional tag-cloud interface, backed by a sophisticated search built using the open source Solr search engine. This implementation allows search refinenment by tag browsing.

For example, http://blogs.educationau.edu.au/?&category=eduausem2007 shows all posts tagged edausem2007. Then we can refine the result set using the ‘danah boyd’ tag to see results which are tagged with both eduausem2007 AND ‘danah boyd’.

Anyway, I’m pretty impressed with the job that Vaughan and Bojana have done with the site.

Embedded book quotes via Google Books

Google Books now enables you to embed fragments from books scanned by the Google book scanning project on your website.

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Facebook vs MySpace: American class divisions

Somehow I missed danah boyd’s paper “Viewing American class divisions through Facebook and MySpace” until today.

I think it’s pretty much a must-read for anyone working in this space:

The goodie two shoes, jocks, athletes, or other “good” kids are now going to Facebook. These kids tend to come from families who emphasize education and going to college. They are part of what we’d call hegemonic society. They are primarily white, but not exclusively. They are in honors classes, looking forward to the prom, and live in a world dictated by after school activities.

MySpace is still home for Latino/Hispanic teens, immigrant teens, “burnouts,” “alternative kids,” “art fags,” punks, emos, goths, gangstas, queer kids, and other kids who didn’t play into the dominant high school popularity paradigm. These are kids whose parents didn’t go to college, who are expected to get a job when they finish high school. These are the teens who plan to go into the military immediately after schools. Teens who are really into music or in a band are also on MySpace. MySpace has most of the kids who are socially ostracized at school because they are geeks, freaks, or queers.

Tried the “$100″ laptop

I’ve just been playing with an early prototype of the “$100″ laptop (yes, I know it won’t be $100…)

Very, very nice.

Accessibility Toolbar demo

At education.au we’ve had an ongoing project to develop a tool to do accessibility checking for learning management systems behind logins.

Most existing accessibility tools use 3rd party webservices to do analysis of websites, and these services cannot see behind secure logins.

The education.au Accessibility Toolbar is a Firefox plugin which does accessibility checking on the client, alleviating this problem.

There is still a significant amount of work to be done, but the toolbar was demoed to the company last week, and I’ve recorded a screencast to show it to a wider audience.


Click To Play(please visit website if this doesn’t work in your blog reader)

The team of Matt, James and Ben has done an excellent job with this project, since writing a Firefox plugin is a challenging technically.

Update: I should have also mentioned the invaluable support that Andrew from Vision Australia has give us on this project.

Wikipedia: How to analyse an article for accuracy

Wikipedia’s use in education continues to be controversial. I think that’s a pity, because the Wikipedia contains huge amounts of useful information, and - perhaps even more importantly - using it teaches very important lessons in the analysis of information sources.

In this post I’m going to summarize a few simple methods for analyzing any given Wikipedia page for likely reliability without having any knowledge of the subject matter the page is addressing.

Firstly, Wikipedia has a number of ways of notifying readers directly that an article may have issues with bias, reliability, accuracy or may suffer from various other problems. These problems are highlighted with a banner on the page (or section) which is believed to have issues.

Some examples are show below:

NPOV
NPOV

recentism.gif

These banners are attempts by the Wikipedia community to alert readers to problems which the community can agree on.

Other problems aren’t highlighted as obviously, so the reader needs to do some work to understand how the article was developed.

To understand this, it’s problem best to address a specific article. Joseph McCarthy was a controversial figure in US politics during the 1950’s. His wikipedia article is a good example of how many wikipedia articles about about controversial topics suffer in comparison to other sources.

Attached to each article in wikipedia are two very useful pages; the history page and the talk page. The history page records the history of that article by showing who made what edit when, while the talk page allows co-authors to communicate about the article.

Looking at the history page, we can see that the Joseph McCarthy article is fairly old - the earliest version was from February 2002. This period of time should have given the article a chance to mature, and so you would expect the rate of editing to slow down over time. Unfortunately, in this case this doesn’t appear to be the case.

Month Number of Edits
Jan 2007 70
July 2006 52
Jan 2006 166
July 2005 75
Jan 2005 18
July 2004 16
Jan 2004 3
Jul 2003 41
Jan 2003 3
July 2002 0
Feb 2002 1

It’s indicative of the kind of article this has become that since 2005 it has consistently been in a state of flux as authors with different political persuasions try and put their spin on it.
There are a huge number of other ways to analyze Wikipedia articles, and I could write for hours about them. But this post has already taken me a long time to get to this stage, so instead I’ll point to a Google Tech Talk on patterns in online communities called “Augmenting Social Cognition: From Social Foraging to Social Sensemaking“. In particular, around 28:30 minutes into it theres a great discussion about a statistical model which has been developed to predict Wikipedia articles in conflict with a accuracy of greater that 80%. Wouldn’t it be great to have a browser toolbar which could automatically warn students about the potential for a particular Wikipedia article to be controversial?

Displaying data on the web

Kerrie blogged yesterday about a recent release of data from the ABS. The bit which caught my attention was:

my first thought was - what lovely statistical stuff for kids to play with in Excel. For example in a file called Schools by category, we have snapshots of numbers of schools in Government, Catholic, and Independent sectors over the period of 1986-2006. You could do all sorts of lovely charts!

Fortunately we don’t need Excel to show those charts anymore. There’s a number of web based services which will let you do that analysis online and share the results quickly.

Probably the easiest is Swivel.com. It’s still in beta, and there are occasional issues with the data imports, but you don’t even need to think about what graphs you want - it will just produce just about anything possible for you. Below is a sample, but you’ll probably want to look at the graph page for the legend etc.
Retention Rates

Swivel’s also got a nice feature where you can compare one graph to another. I was hoping to use it to try and find a corallation between the unemployment rate and retention rates, but I couldn’t get it to work very well.

But what if you want to look at the data like you could in Excel? Fortunately there are options for that, too.

Firstly Google Spreadsheets:

Secondly, Zoho Sheet: