LAK2012

I am not sure where there is direct relevance to Learning Analytics. There is no doubt that mining the public data of social network will be useful for identifying trends, possibly with implications for learning. The big unknown is how reliable is it? Are these networks representative of a population or specific group? I am not convinced of that.

This is a fairly broad biblio of learning analytics related literature. We should likely take the LAK11 and LAK12 conference submissions and mine the citations to get a sense of how people are defining the analytics space.

good article for our opening week on trends and factors driving analytics

big student data

example of user-focused analytics tools, built on existing SN systems such as FB/Twitter

CLO magazine, 2005, written by Chris Moore, Zeroed-In Technologies, post-THINQ and TrainingServer. Defines learning analytics as "... the study of the impact of learning on its learners." This is an industry take on the term/practice, which focuses on learning effectiveness and operational excellence. Current solutions include visual dashboards for managing talent and measuring education initiatives/including 'strategic/tactical scorecards'. Saying all the right things to HR/VPs ...

4 min video on how data science is today where computer science was 30 years ago...

Take the 5 min needed to watch this video - Knewton is the most innovative company in the learning analytics space...

"Here's the thing. Data, big, medium or small, has no value in and of itself. The value of data is unlocked through context and presentation." And others will argue for 'actionable' data. Data beauty is in the eye of the beholder. A VC's take on analytics.

Today, we're announcing plans for a School of Data. The School will be a joint venture between the Open Knowledge Foundation and Peer 2 Peer University (P2PU). We also welcome other organizations who would like to participate - see below for more on this.

Alliances...Knewton, adaptive learning, and Pearson, textbook content, team up. Why? "We want to power everyone's content," says Ferreira, CEO, Knewton.

one of the problems with unstructured and fragmented data lies in getting a coherent view of what's happening. Automated solutions like this offer one response...

short article arguing that prediction misses the reality of random events that cannot be anticipated as well as human agency in creating futures beyond what we can predict

Comparing learning analytics with EDM

U-Sem in ImREAL [ Augmented User and Context Modeling Infrastructure

I find this rather interesting. Twitter has had trouble building a revenue model. Apparently, in accordance with the mantra that 'data is an asset', Twitter is selling old tweets for analysis (and then for marketing purposes). The twitter stream of the last few years is one of humanity's more interesting data/content creations as it captures ideas, resources, sentiments, and more. a library in 140 characters :)