We are working toward interoperability that can preserve pedagogical intent in learning designs.
Learning Analytics
This category covers learning analytics products, the larger markets for them, and the science (or lack thereof) behind them.
Pedagogical Intent and Designing for Inquiry
This is a version of my recent IMS talk on why the educational software interoperability challenges of the next decade will be different from the ones of the past.
The Affordances of Content Design
Content is infrastructure. David Wiley I opened my first post in this series with a statement about courseware and content design: An unbelievable number of words have been written about the technology affordances of courseware—progress indicators, nudges, analytics, adaptive algorithms, and so on. But what seems to have gone completely unnoticed in all this analysis […]
The Content Revolution
In all the many discussions about the technological advancements in courseware, from learning analytics to adaptive learning, we are missing the invisible yet critical and ubiquitous revolution in content design that makes all the technological advances possible.
The Cengage-MHE Merger and Data Danger
PIRG’s SPARC group filed a brief with the Department of Justice opposing the merger between Cengage and McGraw-Hill Education. The section on data danger is worth a close read.
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.
Carnegie Mellon’s $100 Million Announcement
And now for something completely different.