Learning and Knowledge Analytics

I have written a little bit about my experiences in the first week of Lak11 here:
http://blog.hansdezwart.info/2011/01/17/lak11-week-1-introduction-to-learning-and-knowledge-analytics/

An easy way to create QR codes is with Bit.ly. You can shorten any URL and will get a bit.ly link back. By adding .qr to the link you will get a QR code that you can use elsewhere.

Mine looks like this (I have it printed on my business card):



People who use a QR reader (any phone platform has multiple free apss) will be taken to the Bit.ly url: http://bit.ly.hansdezwartqr (people will not see this). This allows me to track how many people have used the QR code. The bit.ly link then takes them to http://www.hansdezwart.info/qr, which takes them to my blog (where I intend to do a write-up of this at some point as I realise this could be quite confusing).

In the future I will be able to make http://www.hansdezwart.info/qr show a nice landing page.

In general QR codes are an easy way to match a physical object to virtual information. I have used them quite succesfully in presentations on the beamer to link people to more information online.

I imagine they will soon be superseded by either RFID tags and near field communication or by the rapid advances in live visual processing and understanding by computers.

Closest to who I am: http://blog.hansdezwart.info (if you are only interested in the Lak11 related entries go to http://blog.hansdezwart.info/tag/lak11 or subscribe to this RSS feed).

I am a pretty boring Twitter user: @hansdezwart (searchable archive at http://www.hansdezwart.info/tweets)

I love reading and do it in public: http://www.goodreads.com/hansdezwart

My professional network is on LinkedIn as much as possible: http://nl.linkedin.com/in/hansdezwart

My bookmarks now live at Diigo (and are all public, so beware): http://www.diigo.com/user/hansdezwart

Google Reader produces a feed with my favourite tweets (of others), my bookmarks and the articles I share from Google Reader. You can subscribe to it here.

On another note: who, who will be the first one to intelligently scrape this thread and turn it into something interesting and more machine readable? Will it be Tony Hirst?

You are right Dianne in that it is hard to predict the ROI of innovations, but after you have done a pilot it should be possible to use data to strengthen your intuitions about whether somethings should work.

One area that might be worth exploring are the perverse effects of using measurement to change policy. By chance I encountered Goodhart's law (http://en.wikipedia.org/wiki/Goodhart's_law) this week. There are some related "laws" mentioned in the article that I think are interesting too.