Learning and Knowledge Analytics
Posts made in Learning and Knowledge Analytics
I (try) to discuss Hadoop, how the technology is commoditised and we should start with asking interesting questions, skills for data scientists, connectivism and learning analytics, worries and concerns around analytics, SNAPP, and the spammability of open online courses.
This is one of the things I dislike about the iOS platform: it is completely unclear what kind of data these apps store about you somewhere.
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I imagine they will soon be superseded by either RFID tags and near field communication or by the rapid advances in live visual processing and understanding by computers.
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?
1. I am very involved with innovation. It would be interesting to think about how learning analytics can help me in creating business cases voor learning innovation opportunities. Can it help in validating the business value of certain innovations? I am sure it can, but it requires the competences of asking the right questions and successfully navigating the maze of data ownership. This could allow us to use metric and data (instead of opinion) to prioritise investment.
2. I have a complete fascination for methods like social network analysis or semantic similarity checking and how they could be used to make individuals work smarter. I firmly believe we are at the cusp of many practical implementations of these kinds of methodologies and it is good to be at the forefront of that.
The concern that I have is very much regulatory. Most attempts at doing social network analysis for example seem to be blocked by legal departments with privacy concerns. This needs to change in some way before it can start becoming more useful.
In recent years it has been much better: I have made a deal with myself that I will only read books in the train and nothing else (no RSS feeds or magazines). For this course I am making an exception to the rule!
I am a 34 year old guy from Amsterdam in the Netherlands. I work as the "Innovation Manager for Global Learning Technologies" at Shell International (at the headquarters in The Hague). Before this job I was heavily involved with the Moodle project as an e-learning consultant working for the Dutch Moodle Partner (Stoas Learning). Before that I was a teacher at a high school in Amsterdam (I thought PE and project based education).
I love technology and am deeply interested in how it affects society. One of my business cards uses my favourite quote (from Yochai Benkler): "Technology creates feasibility spaces for social practice" (see here for more context). To me, this open course is an example too of a practice enabled by technological possibilities.
My blog can be found at http://blog.hansdezwart.info and you should also find links to my other social networking presences there. I try to blog regularly and what I write on this course is here.
I intend to actively participate in this course. For me this means:
- Spending time to read and annotate all the course materials during my commute (1.5 hours each way) on my iPad.
- Writing reflections at least once a week on my blog
- Doing all the suggested activities and participate actively in the Moodle forums.
- Try to attend the weekly live Elluminate sessions (if the timezone agrees with my schedule) or at least watch the recordings.
Looking forward to meeting other participants and learning together!
I really like this idea Mark. I for one would not mind filling in a survey at the end of each week and also divulging a bit more about myself, if the results of that survey would then be shared with everyone as open data.
All for the progress of science!
I guess it relates to a discussion elsewhere in these forums about getting a data dump of this course when it is done.
Pandora has a deep "expert-mediated" knowledge of the music in its database. See: http://www.pandora.com/corporate/mgp for more...
For the truly paranoid:
- Make sure you sign out of Facebook and Twitter and delete all your cookies
- Create a throw away email address
- Sign up to Hunch and play around
- Dress up as somebody from one of the other two genders than yours (thanks Ignatia)
- Go to a public Internet computer and wear gloves
The recommendations that it gave me seemed to be pretty random too. The occasional hit and then a lot of missers. I had the ambition to try out the top 5 music albums it would recommend me, but couldn't bear the thought of listening to all that rock. This did sneak a little thought into my head: could it be that I am very special? Am I so ecclectic that I can defeat all data mining effort. Am I the Napoleon Dynamite of people? Of course I am not, but the question remains: does this work better for some people than for others.
One other thing that I noticed how the site seemed to use some of the tricks of an astrologer: who wouldn't like "Insalata Caprese", seems like a safe recommendation to me.
In the learning domain I could see an application as an Electronich Performance Support System. It would know what I need in my work and could recommend the right website to order business cards (when it sees I go to a conference) or an interesting resource relating to the work that I am doing. Kind of like a new version of Clippy, but one that works.
BTW, In an earlier blogpost I have written about how recommendation systems could turn us all into mussels (although I don't really believe that).
I really like Richard's idea (and Stack Overflow's stated ambitions and intentions).
So for me it would certainly be a plus if it were possible to have all the posts here in Moodle be CC-licensed. I guess because there is ownership of the course/site that should be possible. After that it is indeed important to offer the data of the posts in some format that makes sense for people to use.