PRUUVA VS. PROCTORIO
Proctorio is one of the most widely used remote proctoring tools in higher education. It monitors students through their webcam, tracks eye movements, records their screen, and uses AI to flag behavior it considers suspicious. Pruuva takes a different approach: after students submit work, it helps educators collect evidence that they can explain the concepts, reasoning, and choices behind that work.
PROCTORIO'S APPROACH
PRUUVA'S APPROACH
WHEN TO CHOOSE EACH APPROACH
Proctorio can deter certain forms of cheating in high-stakes, timed exams where environmental control is a requirement. It is most justifiable when the assessment format demands real-time proctoring, when the institution has addressed accessibility accommodations, and when the behavioral flags are treated as signals for human review rather than verdicts.
When the goal is to confirm that students understand what they submitted — not to monitor their physical behavior during a test — Pruuva provides a structured follow-up and evidence report without requiring webcams, lockdown browsers, room scans, or private testing spaces.
PRUUVA WORKS WELL WHEN
CONSIDER OTHER OPTIONS WHEN
SURVEILLANCE, ACCESSIBILITY, AND EQUITY
Remote proctoring tools place significant requirements on students' hardware, living situations, physical abilities, and privacy. These requirements are not evenly distributed across student populations, and the consequences of failing to meet them fall hardest on students who already face the most barriers.
Proctoring tools require a webcam, microphone, specific browser or desktop application, and a stable internet connection. Students with older hardware, limited bandwidth, or Chromebooks may be unable to participate without institutional intervention.
Room scans and background noise monitoring assume students have access to a quiet, private space. Students in shared housing, dormitories, or family homes are disadvantaged by this assumption.
Research has documented that facial recognition and detection algorithms perform less reliably on people with darker skin tones. Students of color face a higher risk of technical failures and false flags from webcam-based monitoring systems.
Student surveys consistently report that remote proctoring increases test anxiety. Being filmed and algorithmically monitored in their own homes fundamentally changes the testing experience in ways that can affect performance.
WHAT TO EVALUATE
Ask whether the workflow helps instructors evaluate what students can explain about their own work, not only whether an exam session looked unusual.
Look at the student requirements created by webcam monitoring, lockdown browsers, room scans, and device constraints before choosing another surveillance-first tool.
Prioritize evidence reports that summarize the strongest and weakest demonstrations of understanding so instructors are not left reviewing raw flags alone.
NEXT STEPS
A useful Proctorio alternative should help teams redesign assessment around demonstrated understanding while giving instructors a review workflow they can explain to students and administrators.
See how Pruuva supports academic-integrity teams, departments, and faculty committees that need a less adversarial assessment model.
Review institutional use cases →Run a focused pilot with one real assignment before asking faculty to replace a familiar proctoring workflow.
Start with a pilot →Review how Pruuva helps instructors collect proof that students can explain, extend, and defend the work they submitted.
Explore capability evidence →THE BOTTOM LINE
Proctorio deters some forms of cheating through surveillance, but it comes with significant accessibility, equity, and privacy tradeoffs. Pruuva provides evidence of demonstrated understanding without requiring webcams, lockdown browsers, or private testing spaces.
Move beyond detector scores. Review evidence of what students can explain.
Get early accessRELATED PRUUVA RESOURCES
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Last reviewed: June 3, 2026
