Often touted as the next great innovation in ed tech, artificial intelligence could also have negative unintended consequences for schools if district officials don't prepare correctly.
The Consortium for School Networking has launched a toolkit to help school districts improve their ability for systems and applications to easily share content.
Dueling studies of Teach to One: Math highlighted a divide over whether personalized-learning models should prioritize grade-level proficiency or academic growth.
AI-powered tools may augment teachers, a new RAND report argues--but only if big concerns around bias and transparency are first addressed.
A new National Education Policy Center report calls for stronger regulations around the use of algorithms in personalized learning and ed-tech software.
The Regional Education Laboratory Central reviewed studies of 14 online and blended-learning programs used to differentiate instruction.
What can decades-old research into "mastery learning" and the "Personalized System of Instruction" tell schools about contemporary approaches to personalized learning?
The popular yellow-cover study-guide series is offering a personalized, digital subscription service for its test-prep materials, but not its better-known literature-review guides.
A team at Carnegie Mellon University is using brain-activity patterns to better understand the mental processes students use to solve math problems.
The more time students spent using DreamBox software, the larger their gains in achievement, according to a study by Harvard's Center for Education Policy Research.
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