AI Usage & Monitoring Disclosure
This Disclosure explains ActivityLock features that may monitor exam activity, generate AI marking suggestions, detect similarity, classify question skills, or produce analytics for teachers and institutions.
1. Monitoring features
Depending on teacher or institution settings, ActivityLock may record or process activity signals such as exam start and submit time, focus changes, tab or window changes, fullscreen status, device information, browser information, screen size, connection state, PDF annotation activity, student status, and other exam integrity signals.
Where camera, microphone, screen sharing, screenshots, or live previews are enabled, users may be asked by the browser to grant permissions. If permissions are denied or blocked by the device, browser, school policy, or operating system, monitoring may be limited or unavailable.
Camera Monitoring is an Institution Plan feature. If an institution enables Camera Monitoring and violation capture, ActivityLock displays a notice and requests camera permission before the activity starts. A camera image may be captured when a configured violation occurs and shown with the violation record to authorized teachers or institution administrators. Camera evidence is a review aid and is not proof of misconduct by itself.
Institution administrators may set defaults or lock supported monitoring settings for their teachers. The institution is responsible for selecting proportionate settings, limiting authorized access, defining retention, providing required notices, and obtaining any consent required for students or minors.
2. What monitoring does not guarantee
Monitoring tools support supervision but cannot guarantee that misconduct is prevented, detected, or accurately classified. Browser restrictions, network delay, device incompatibility, extensions, operating system rules, and user behavior can limit monitoring accuracy.
ActivityLock should not be the only basis for serious disciplinary action without teacher or institution review, relevant evidence, student context, applicable policy, and any required appeal process.
3. AI marking
AI marking may review writing answers and generate suggested marks, feedback, confidence scores, review warnings, cognitive levels, question types, and analytics. AI marking is not final grading. Teachers remain responsible for final marks and should review AI output before using it.
AI may misunderstand student writing, context, accommodations, language ability, images, formatting, calculations, or teacher expectations. Teachers should correct AI output where needed.
4. Similarity and originality signals
ActivityLock may compare answers between students or flag possible copied, highly similar, AI-style, or low-confidence answers. These are review signals only. ActivityLock does not make final cheating accusations.
Teachers and institutions must investigate fairly before making academic integrity decisions.
5. Responsibilities for minors and students
Schools, teachers, and institutions must provide appropriate notice and obtain legally required consent before enabling monitoring or AI processing for students, especially minors. This may include parent, guardian, student, school, or institutional consent depending on location and policy.
6. Data used for AI and analytics
AI and analytics may process question text, student answers, max marks, rubrics, teacher settings, grading notes, student identifiers, similarity context, and exam metadata. ActivityLock aims to use only what is needed to deliver the selected feature.
7. Human review and appeals
Institutions should maintain human review, correction, accommodations, appeal, and dispute procedures for AI-assisted grading or monitoring outcomes. ActivityLock provides tools; the educational authority controls academic decisions.