Your students will be hired for how they work with AI. Show them how they already do.
AIRE is an 8-minute, 41-item questionnaire about how a person works with new technology. It is built on three well-established research bases: IPIP (a public library of validated personality items), TAM (the Technology Acceptance Model) and UTAUT (its successor, which explains why people adopt or avoid new tools). It places each student in one of nine AI AIRE types, gives them a full personal report, and gives you a class-level map of how your cohort actually approaches new tools.
The nine AIRE types, without an industry filter
Students are not yet in a vertical. The classroom edition scores them on the generic nine — the same four dimensions (Awareness, Initiative, Rigor, Execution) and the same AIRE type logic used across construction, healthcare, finance and every other industry we publish, but expressed in language that fits someone about to enter the workforce rather than someone already ten years into it.
That matters for placement. When a graduate arrives at an employer already running AIRE, both sides are using one vocabulary. The student can say what they are; the manager already knows what that means for the first ninety days.
Six ways professors use it
Students graduate able to answer the interview question every employer is now asking: how do you actually work with AI? They leave with a named profile, four scored dimensions and concrete language for it.
A class of Automators with no Verifiers ships fast and wrong. The class composition view shows you the AIRE type spread before you assign teams, so you can build balanced groups instead of discovering the imbalance at the demo.
Employers running the same instrument on their own staff speak the same nine-AIRE type language. Students arrive at placements already able to describe where they fit.
Advisors get a non-evaluative starting point for a conversation about work habits, verification instinct and initiative — one that students recognise as accurate rather than tested.
Run it at the start and end of an AI-literacy sequence. The cohort distribution shift is program-level evidence you can put in an assessment report or an accreditation narrative.
De-identified cohort exports for departments studying AI adoption, technology acceptance and workforce readiness.
Why every AIRE type in your class matters — including the skeptics
The instinct in a classroom is to reward the students who adopt fastest. That is a mistake, and it is the same mistake employers make. A cohort of enthusiastic Automators produces confident, unverified work. A cohort of Verifiers produces careful work that never ships. Real teams need both, plus the translators who move between them.
The class composition report names this explicitly: where your cohort is concentrated, which AIRE types are missing, and what that predicts about how their group projects will fail. Students who score as cautious get told, in their own report, that their caution is an asset with a job to do — not a deficiency to correct.
What you get in the professor portal
Add students one at a time or paste a whole class list. No hiring pipeline, no candidate language — students and incoming students only.
Group by course and term, with a per-class anonymity setting and its own composition view.
Generated private links, a pre-written student email that states the ungraded, voluntary terms, resend and reminder tracking, and copy-all for LMS announcements.
Live progress across the cohort so you know who still needs a nudge before the module closes.
The AIRE type distribution, balance analysis, suggested project pairings and the risks in your specific spread.
Per-student pricing shown inside your portal. Students who take it on their own pay the standard individual price.
Governance, privacy and the rules you have to answer to
AIRE measures working style, not ability, knowledge or performance. Every professor surface and every student email states that it must not be used for grades, admission, discipline or placement. There is no right answer and no ranked result.
A named result tied to an enrolled student is an education record. Each class carries a visibility setting: Named results, or Anonymous mode where you see only the AIRE type distribution across the cohort. Classes over 30 default to anonymous. You can export or delete a class at any time.
Every student receives their own full report. Nothing is shown to an instructor that the student has not been told, in the invitation, that the instructor will see.
Student data is never sold, never used for advertising, and never disclosed to employers or third parties. We act solely as a school official with a legitimate educational interest in the instructional use you configure.
Invitations state plainly that participation is voluntary and ungraded. Give students an equivalent alternative if you attach any participation credit to the module.
Keyboard-navigable throughout, visible focus states, reduced-motion support, WCAG 2.1 AA contrast targets, no timed items and no reading-speed pressure. Screen-reader labelled controls on every interactive element.
Post-secondary and school-authorized use, students 16 and over. Not intended for anyone under 16.
Row-level isolation per instructor, 192-bit unguessable assessment links, encrypted transport and storage, and no third-party trackers on the assessment itself.
This page describes how the product is built and is not legal advice. Institutions remain responsible for their own FERPA determinations, IRB requirements where a use is research rather than instruction, and any state-level student privacy statute that applies to them.
Getting started
Sign in with Google, add your institution, and the portal opens. Add students by name and email — or copy their assessment links straight into your LMS. Student seats are purchased at the academic per-student rate; students who take AIRE on their own pay the standard individual price.
Built for a 400-seat lecture
Rosters import in batches, invitation links are generated server-side, and the assessment itself is a static-rendered page with no heavy client work — a whole section starting at once is a normal Tuesday. Results are written as each student finishes, so your completion count is live rather than a nightly job.
Deans, provosts and department heads — assessing faculty and staff
Students and employees are two different instruments of the same assessment, and they sit in two different portals. A professor running a class uses the faculty portal at the academic rate. An administrator measuring the people who work for the institution — faculty, adjuncts, advisors, registrar and IT staff — uses the employer portal, because that is a workforce question: who on staff can already carry AI work, who is holding the line on policy and verification, and where the gaps sit before a campus-wide tool rollout.
Measure students in a class
Class rosters, anonymous mode, cohort composition reports, academic per-student rate.
Professor loginMeasure faculty and staff
Choose Education as your industry, invite staff by email or link, and read the same team coverage map, AI-champion identification and re-measure cycle every other sector uses. Per-seat, no subscription.
Open the employer portalOne caution worth stating plainly: AIRE describes how a person works alongside AI. It is not a performance rating and must not be used for tenure, promotion, discipline or contract renewal. Read the fair-use terms before running it on staff. Multiple colleges or a campus-wide rollout should go through the quote below rather than a card.
Department, college or campus-wide
Running this beyond a single course or a single team — a program, a college, a whole first-year cohort, or faculty and staff across multiple departments — goes through purchasing rather than a card. Tell us the shape of it and we will come back with an institutional quote, an invoice path and the data addendum your procurement office will ask for.