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Cheating Detection Overview

Cheating Detection Overview

Comprehensive system for detecting, reporting, and managing cheating incidents across all exam types.

Detection Capabilities

Automated Detection

  • Time Pattern Analysis: Unusual completion times or response patterns
  • Answer Pattern Detection: Suspicious answer sequences or patterns
  • Browser Behavior: Tab switching, window focus changes, and navigation
  • Copy-Paste Detection: Identification of copied content in text responses

Behavioral Analysis

  • Response Time Analysis: Unusually fast or consistent response times
  • Performance Anomalies: Sudden improvement in performance
  • Question Sequence: Non-standard navigation through questions
  • Device Switching: Multiple devices used during single exam session

Statistical Analysis

  • Score Distribution: Outliers in performance distribution
  • Answer Similarity: Comparing answers between participants
  • Performance Correlation: Unusual correlations between participants
  • Historical Comparison: Comparing with previous performance patterns

Incident Types

Technical Violations

  • Unauthorized Tab Access: Opening new browser tabs or windows
  • Copy-Paste Violations: Attempting to copy questions or paste answers
  • Screen Recording: Detection of screen recording software
  • Multiple Session: Concurrent login attempts from different devices

Behavioral Violations

  • Suspicious Timing: Unrealistic completion times for question difficulty
  • Pattern Matching: Identical or highly similar answer patterns
  • Performance Inconsistency: Dramatic improvement without explanation
  • Navigation Anomalies: Unusual question navigation patterns

Content Violations

  • External Resource Access: Evidence of external assistance or resources
  • Collaboration Indicators: Patterns suggesting collaboration between participants
  • Answer Sharing: Evidence of shared answers or solutions
  • Impersonation: Evidence of someone else taking the exam

Alert System

Real-Time Monitoring

  • Live Alerts: Immediate notifications of suspicious activity
  • Threshold Monitoring: Automated alerts when suspicious patterns exceed thresholds
  • Progressive Alerts: Escalating alerts for repeated violations
  • Administrative Notifications: Immediate alerts to exam administrators

Incident Escalation

  • Severity Levels: Different alert levels based on violation severity
  • Automatic Escalation: Progressive escalation for serious violations
  • Manual Review: Human review for complex cases
  • Investigation Workflow: Structured process for incident investigation