
What the studies on adaptive math software actually show
Adaptive math software produces small positive effects on average, with the best results tied to usage time and teacher integration, not to the algorithm.
Technology examines the hardware and software installed in schools: devices, displays, management systems, learning platforms and AI assistants. Each is assessed on reliability, setup burden, data handling and annual cost per student. For teachers, technology coordinators and procurement staff choosing between products making similar promises.

Adaptive math software produces small positive effects on average, with the best results tied to usage time and teacher integration, not to the algorithm.

Digital testing fails on three preventable things: access point density, power negotiation, and proctor devices on the wrong network.

The assistive technology that lasts is built into operating systems, funded by entitlement, and specified in the IEP — in that order.

LMS migration costs three to five times the license fee once training, content rebuilding, and integration work are counted.

Teachers report real time savings from AI planning tools, but independent studies find the gains are smaller than vendor claims and depend on editing discipline.

The best MDM for a school district is the one teachers never notice, and the differences show up in lost instructional minutes, not feature lists.

State screen-time laws are running ahead of the evidence, which supports limits for young children and passive video, not a blanket cap on school devices.

Flat panels have lower lifetime cost and better daylight visibility, but projectors still win in a few specific rooms.

A one-to-one Chromebook rollout typically costs two to three times the device sticker price once management, repair, and staffing are counted.