Data-Driven Teaching, Without the Admin

Setting up a classroom takes just a few minutes. Create a classroom from your Teacher Dashboard, give it a name (for example, "4B Science & Maths"), and the system generates a unique class join code (CLS-XXXX). Share this code with your students — they enter it during sign-up or from their student dashboard to join your class. You can create multiple classrooms for different subjects or year levels. Each classroom has its own roster, analytics, and curriculum tracking.

AI features for under-16s require parental consent, granted per feature. Student learning records are stored in Firebase’s Melbourne region. Contact details are scrubbed before AI processing. Duty-of-care tools are built in, including safety flags for student wellbeing concerns. Compliance documentation, audit trails and an incident response plan aligned to the Notifiable Data Breaches scheme are maintained. Sub-processor details are published in our Privacy Policy.

No — and this is by design. Teachers see classroom analytics, curriculum coverage heatmaps, progress alerts for students in their own class, and flagged wellbeing concerns. You do not see AI chat transcripts, personal conversations, or raw AI interactions. This protects student privacy while still giving you the teaching insights you need. Safety flags tell you when a student may need wellbeing support, but the specific content of AI interactions remains private to the student.

The AI copilot analyses classroom performance patterns and surfaces actionable suggestions. It highlights students who need attention (declining scores, low engagement), identifies curriculum coverage gaps against the Australian Curriculum v9 and US K–12 standards, suggests targeted assignments to address knowledge gaps, and recommends differentiation strategies. Actions are prioritised by urgency — high, medium, or low — so you know what to address first. The copilot learns from your classroom’s data, not from other schools or students.

Yes. There are no per-seat fees, no school licences, and no hidden costs — your school is never invoiced. Every feature — including the AI copilot, classroom analytics, curriculum heatmaps, live quizzes, safety flags, and progress alerts — is available at no charge, and every student gets a free AI allowance each month for text and images — enough for about 40 new quizzes — which starts again at the beginning of each month, plus read-aloud minutes counted per day; when it is used up, anything already made stays available and costs the smallest charge in the app to re-open, and new AI requests wait for the next month. The only paid things anywhere on Qwizflow are optional one-off packs — credit packs, and Studio Packs for a more natural voice and full-colour pictures — bought at home by a parent or a student aged 16 or over. It is never required to keep learning and never charged to you or your school. Qwizflow is funded independently to ensure equitable access to AI-powered teaching tools for every Australian educator, whether at a well-resourced private school or a rural government school.

Safety flags are for duty-of-care concerns, not marks or attendance. A teacher can raise one for a student in their class, and one is raised automatically when a student's message to the AI tutor suggests they may be at risk — for example of self-harm or abuse. The student is shown how to reach a helpline straight away, and the flag reaches the class's teachers and the school's nominated counsellor with its category and severity, never the student's words. Falling scores and missed days are Progress Alerts instead: fixed rules (three quiz scores in a row below 50%, no activity for five days, or falling mastery), shown to the class's teacher with the reason. Each flag follows a 5-step escalation ladder — open → acknowledged → actioned → resolved → dismissed, with a separate path to escalated when a student needs the school counsellor. Every transition requires a non-empty note that becomes part of an append-only audit trail. Escalating to "counsellor" requires a configured school counsellor in the School Admin dashboard, with an optional notify-parent-on-escalate toggle.

The Affective Heatmap shows per-topic engagement and frustration signals across your class, derived from how students interact with the AI tutor and adaptive quizzes (e.g. frustration count, idle time, retry patterns). It is k-anonymised at 5 — topics with fewer than 5 contributing learners are suppressed and rendered as neutral cells, so individual students cannot be identified by elimination. Teachers see classroom-level patterns; never individual student affective data. The heatmap pairs naturally with the curriculum coverage heatmap to show "this topic has gaps AND students are frustrated when they try it" — a strong signal to revisit the lesson.

You have two complementary tools for in-the-moment student support. Teacher Nudges let you send a 200-character message to any student with an active session — useful for "I noticed you're stuck on Q3, try the Read-Aloud button" or "well done on the streak!". Nudges are rate-limited to 1 per student per 5 minutes so they stay meaningful and not spammy. The Help Request Queue is the inverse: students hit an Ask Teacher button from any quiz or rationale screen, which lands in your inbox with a PII-scrubbed AI brief explaining what the student was trying. You acknowledge, answer, or dismiss — each transition is logged. Together they replace ad-hoc messaging with a structured, auditable support flow.