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 […]
Learning Analytics
This category covers learning analytics products, the larger markets for them, and the science (or lack thereof) behind them.
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.
Instructure: Plans to expand beyond Canvas LMS into machine learning and AI
Instructure is not the same company it was just a year or two ago. Thanks to public reporting, the changes are out in the open.
Experience Economy: Enterprise software view into persistence and future of LMS market
How SAP’s massive purchase of Qualtrics can help answer why the LMS is so persistent and a helpful way to look at formative assessment and data analytics.