You may have noticed that I've been kinda quiet on the blogging front. It's not for lack of things to say, exactly. More that there has been so much sound and fury around the emerging topic of learning analytics that I've wanted to listen to what was going on before I added my .02.
But there have been a few things on my mind, especially now that we are well into the second year of our work on the PAR Framework. And we are coming up on fall conference season, where I expect we will all be hearing a lot about learning analytics solutions.
As you gird yourself for the coming onslaught of emerging thought leadership that will swirl around us regarding learning analytics, big data, and the like, just remember: Yes, it's hard to turn mashes of clicks into anything meaningful when you are dealing with something like learning, which, like it or not, is like a religion to many people. Anybody who tells you otherwise does not understand your work.
Don't be shy about pushing back a little bit and asking for clarifications. The answers to learning questions - enterprise, individual or otherwise - are not likely to emerge fully formed from the mists of Apache Hadoop, Google Analytics or Adobe Omniture. All of which are very cool technologies. But seriously, they can't make up your mind for you.
It's not the data, the metadata or the paradata, nor is it necessarily the analytics we perform, that matters the most. What matters is what we DO with the information coming from these analyses, that will help us achieve results that matter to our stakeholders.