
AI detectors don't prove a student used AI to cheat
Turnitin's own documentation calls its report inconclusive, and independent research finds detectors misfire most against non-native English writers and Black students.
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.

Turnitin's own documentation calls its report inconclusive, and independent research finds detectors misfire most against non-native English writers and Black students.

Sound-field amplification has some of the best evidence in classroom technology, but only for the youngest students and only when installed well.

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.