88 Percent of Students Use AI on Assignments — Assessment Has to Catch Up
Recent research puts the share of students using generative AI tools on assignments and take home work at close to 90 percent. Traditional plagiarism checkers were never built to catch AI generated or AI assisted work, and remote testing adds a second, separate integrity challenge: verifying who is actually sitting the exam.
Why this keeps costing you
Institutions are caught between two failure modes — ignoring the issue entirely and letting assessment integrity quietly erode, or applying blunt, automated penalties that punish false positives as harshly as genuine violations. Neither approach protects both academic standards and student fairness at the same time.
How we build it
Identity verification runs at session start against a reference photo or ID scan, and behavioral monitoring throughout the session watches for patterns — tab switching, unusual pause lengths, audio anomalies — that correlate with unauthorized assistance, without recording or storing more than the monitoring purpose requires. A separate text analysis layer, run independently from the proctoring system, scores written submissions for markers associated with AI generation, but that score is never treated as a verdict: it routes the specific submission to a human reviewer alongside the evidence behind the flag, so the actual decision stays with a person, not an algorithm.
What this looks like once it is running
- 1Identity verification at the start of every test session
- 2Behavioral monitoring during the session, including unusual pauses or activity
- 3Secure, locked down test delivery to prevent unauthorized resources
- 4AI assistance flagging on written work routed to human review, never auto failed
- 5A full audit trail for every flagged case, supporting fair, defensible decisions
Institutions get remote assessments they can actually trust, with integrity issues surfaced for real human judgment instead of ignored or over punished by a blunt algorithm, and testing scaled without a proportional increase in proctoring staff.
For more details, click the relevant case study link below.
View AI Assessment Platform case studyAI Proctoring (AI Assessment Platform)
AI Proctoring is a named, shipping feature inside Zaltech's AI Assessment Platform: intelligent exam monitoring with AI powered proctoring, cheating detection, identity verification, and secure test delivery for remote assessments. It runs alongside the platform's automated grading modules, so integrity checks and evaluation share the same underlying session data rather than operating as separate, disconnected systems.
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