Smart proctoring and answer integrity

Roaming student profiles

Each student builds a private profile from face geometry, voice, typing rhythm and their usual setup. It’s stored as numbers only, never photos or recordings. It follows the student from exam to exam, course to course and instructor to instructor, gets stronger with each approved exam, and is deleted 12 months after their last exam.

Identity checks before the first question

If the face or voice doesn’t match the profile, the exam pauses before the student can answer. The student gets two re-checks; the instructor can allow or keep the block live from the monitor. Every decision is logged.

Mid-exam face re-checks

The face is re-checked every few minutes, so someone swapping in after the start is caught.

Wearable detection with corroboration

A Bluetooth scan recognises smart glasses (Meta and Snap), wireless earbuds (AirPods) and smartwatches nearby. It records device types only, never names, and never pairs. These are combined with what the camera sees:

• smart glasses plus glasses being worn;
• earbuds plus a hand raised to the ear;
• a watch plus repeated wrist glances.
• Bluetooth alone never counts against a student.

Glasses and hidden-eye detection

Glasses and sunglasses detection, running on the student’s own computer, including “eyes hidden”.

Objects and people in view

Phones, laptops, monitors/TVs, books or notes, and a second person on camera.

Hand and wrist cues

Hand to the ear, glances at the wrist, hands out of view.

Gaze, head movement, and liveness

Looking away, repeated looks down (a phone in the lap), turning away, and the face leaving the frame. A blink check defeats a photo held up to the camera.

Speech and conversation patterns

Talking, back-and-forth conversation, and the “voice then answer” pattern (someone dictating). Short audio clips are kept only when things escalate.

Extra screens, screen sharing, and remote help

Two screens, screen sharing, remote help.

• Blocked at the start: a second monitor, an active screen share (e.g. Zoom), remote-control apps, remote desktop sessions and virtual machines.
• Flagged mid-exam: a screen plugged in during the exam.

Typing forensics

Auto-typer rhythm, injected keystrokes, text pasted from outside the exam, and “copy, pause, burst” (typing out an answer from elsewhere).

Personal baselines

Each student is compared with themselves. After three approved exams, a student’s normal habits count less against them.

Independent evidence before escalation

Escalation needs at least two independent kinds of evidence.

Tamper-evident reports

Reports are signed and hash-chained on the device. The server replays and re-scores each report rather than trusting the app’s verdict.

Forensic timeline and evidence bundle

Forensic report and evidence bundle.

• A one-clock timeline with lanes for gaze, voice, objects, hands and exam events.
• Key moments, each with possible innocent explanations.
• Captures only when it escalates: stills at amber, short clips at red.
• A downloadable evidence ZIP.

Server-side integrity checks

Same internet connection plus near-identical answers, switching connection mid-exam, logging in twice, sharing a computer with another student, and rewriting an answer right after leaving the exam window. Shared lab/classroom connections are recognised automatically and not counted.

Pilot mode and minors privacy mode

A measure-only pilot for rollout, and a K-12/minors mode that stores no images, audio or video at all.

Guided camera and microphone check

Camera and mic, position, gaze range, blink, typing sample, quiet moment and a read-aloud sentence, with consent built in.

Following another student’s answer pattern

“Followed another student.” Flags a student who lands on the same distinctive answers shortly after a classmate, question after question.

Rare shared mistakes

A statistical test for two students sharing unusually unlikely wrong answers.

Synchronized answer changes

Genuine answer changes made within seconds of each other on several questions.

Similar written answers, with a rarity filter

Essays, code and worked maths are compared, including “one answer contains the other”. Standard working that much of the class shares is left out automatically, and shared phrases are highlighted side by side.

Student and class integrity reports

Integrity report per student and per class.

• Ten indicators roll up into one standing per student: clear, review, high or blocked.
• Plain-English findings, a “when it happened” timeline, and CSV export.

A recorded review before approval

Each flagged student or group is marked “fine” or “concern” with a note, and grades can’t be approved until that’s done.