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.
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 ...
The opportunity that IBM is chasing-analytics that power everything-is much bigger than the Internet boom of the last decade. "This will be the largest business opportunity IBM has ever had. It will dwarf ERP, back office, anything," Corgel said.
"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.
Analytics meets the Academy Awards...The "People's Oscar" tool co-developed by the L.A. Times, IBM and the University of Southern California Annenberg Innovation Lab analyzes Twitter opinions about who's going to win Academy Awards. An 'entertaining' example of how semantic analysis is performed on large set of unstructured data/tweets.
Alliances...Knewton, adaptive learning, and Pearson, textbook content, team up. Why? "We want to power everyone's content," says Ferreira, CEO, Knewton.