Pearson is going digital first and updating its editions more frequently. According to the higher ed press, frequent updates to a software product is now a bad thing.
Instructure DIG and Student Early Warning Systems
What is a retention early warning system? What is it good for? What are its limitations? And how are its failings representative of the unfulfilled potential of so many ed tech products? You’ve got questions, we’ve got answers.
Learning Engineering: A Caliper Example
In this post, I explore the relationship between learning engineering and learning design, talk about language as a design artifact, and provide an example about how Caliper could be the centerpiece of a learning engineering process for developing better learning analytics.
EEP 2019: The Invisible Miracle of Learning
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.
Instructure is not “the New Blackboard”
Eleven months ago, I wrote a post about Instructure entering its “awkward teenage years.” That was a setup for the inevitable alternative metaphor that was coming, along with Instructure’s inevitable fall from grace. Now that they’re off the pedestal, it’s time to address the crazy way we talk about ed tech companies.
The IMS at an Inflection Point
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.
Building a Better Vendor Ecosystem
As promised in my last post, I describe my model for creating a new economy of contribution and collaboration from ed tech vendors, and how I hope to pay for e-Literate (and part of my mortgage) in the process.