A textbook doesn't know one student is still shaky on the basics while another finished the chapter last week. Class IQ does — and it adjusts practice for each of them in real time.
"Technology can calculate a student's marks."
It cannot understand the student behind them.
Not a generic question bank — every question is tagged to the exact syllabus objective it belongs to, term by term.
Get it right, the next question steps up. Get it wrong, it steps back. No student stuck, none bored.
A plain-language gap report per student, per topic — handed over, not dug for.
This is what a real AI feature looks like — not a chatbot bolted on top, but a quiet layer that hands teachers their time back, on the same data as everything else your school runs.
We'd rather tell you exactly what each one does — including how it's kept safe — than let a feature name oversell itself.
Adaptive, syllabus-mapped practice with real-time difficulty adjustment and a plain-language gap report per student, per topic.
Ask a question in plain English — "which classes have overdue fees?" — and get a real answer from your school's own data. It never writes its own queries: every question is matched to one of a fixed set of pre-approved, security-reviewed report templates, so it can only ever return what that template is built to return, scoped to what the asking role is allowed to see.
A student reading a library PDF, audiobook or video can ask it questions — and it answers strictly from that one resource's own content, never from outside knowledge. Enabled per school, and only ever scoped to the single resource a student has open.
Every one of these follows the same rule: answer from real, scoped data — never guess, never reach outside what it's explicitly allowed to see.