Guides for exam offices and faculty

Plain guides for the people who run exams: Controllers of Examinations, registrars, faculty, IT teams and admissions cells. Each one explains the topic in general terms and then shows how Proctorly handles it.

The guides on cheating methods are written for institutions. They describe what a method is and how it gets detected and reviewed, and they never explain how to do it.

Online proctoring

Our overview of online proctoring is the place to start. From there you can go deeper:

Online exam delivery

These guides cover how exams are built and delivered online. For product detail, see online exam software.

Online exam cheating: methods and detection

These are written for exam offices and faculty. Each guide explains what a method is, how it gets detected or deterred, and how human review deals with it. A good starting point is the pillar guide on how to cheat in online exam attempts and how institutions respond.

Academic integrity and exam security

This group covers policy and prevention. Start with academic integrity.

  • Exam security: a layered plan for preventing cheating in online exams.
  • Exam malpractice: the forms malpractice and unfair means take, and a fair process for handling them.
  • Exam paper leak prevention: how sealed papers and timed release lower the risk.

Proctoring software compared

Neutral guides to the main vendors, written for institutions. Our ProctorU review and comparison hub is the best place to begin.

LMS and tool integrations

Moodle monitoring with OAuth and LTI 1.3 is live and supports Canvas, Blackboard, and other learning platforms. For what connects to Proctorly today and what is still planned, see LTI 1.3 and LMS connections.

Privacy and data law

What the law expects of exam data. Start with the Trust center on is proctoring legal.

  • DPDP Act: India’s data-protection law as it applies to university exam data. It’s an explainer, not legal advice.

Teaching, outcomes and AI

For faculty, deans and accreditation teams. Start with AI for higher education.

  • Outcome based education: what OBE is, how course and program outcomes fit together, and how they’re assessed.
  • CO PO mapping: how to map course outcomes to program outcomes, with a worked example.
  • AI tools for teachers: AI tools for faculty grouped by task, and how to evaluate them.

Glossary

You’ll find short definitions of the terms used across these guides, from proctoring to invigilation, in the glossary.

See it on your own exam

Guides explain the ideas. A demo shows them on your exam calendar.

  • 1Choose your country and a time inside our global business hours, shown in your local time.
  • 2Tell us who you are and what you would like to see.
  • 3Get your Microsoft Teams meeting link and calendar invitation at once.