One of the challenges facing higher education is a huge amount of tacit knowledge—things that we don’t know we know—about both our academic expertise and our teaching expertise. We need to make that knowledge explicit in order to make progress. This post unpacks a peculiar kind of literacy problem.
The "Big Picture" category covers larger trends and topics that influence both the problems that technology can help address in education as well as the barriers to implementing high-quality technology-supported education. This includes research-based topics such as learning science and program effectiveness studies, philosophical discussions such as outcomes definitions, and macro-forces such as government policy, markets, and business models.
The IMS has been amazingly successful. I take a deep dive into both the what and the why, and then look at how the next challenge of learning analytics is going to mean the next decade of interoperability work will be different from the last one.
e-Literate is changing its URL, its look and feel and, most importantly, is morphing into a much broader organization with multiple functions. This post provides an overview of the new world.
The revolution will be televised. Eventually. For now, there will be audio.
This is a great example of the kind of collaboration I expect to see more of from the Empirical Educator Project and CMU’s OpenSimon contribution.
There has been a lot of talk about Christensen’s prediction on half of schools closing in a decade without much real data . . . until now.
A $100 million initiative in a 500-word press release.