The shift to online assessment requires innovative approaches to maintaining exam integrity. But what makes Real-Time Test Forensics different from traditional security measures? This session introduces participants to emerging techniques that can detect testing irregularities as they occur.
Whether you're new to assessment security or an experienced practitioner, this session offers valuable insights through clear explanations and practical examples ranging from simple to sophisticated:
• How can response time analysis reveal unusual patterns that suggest pre-knowledge? (For example, answering difficult questions too quickly, such as completing a complex calculation in seconds) • What can answer change statistics tell us about potential assistance during tests? (Such as patterns of wrong-to-right changes that occur simultaneously across multiple candidates) • How do similarity measures identify possible collusion between candidates? (Including detecting identical wrong answer selections across test-takers) • When might person-fit statistics flag random or strategic guessing? (Through complex mathematical models that identify statistically improbable response patterns)
Through accessible explanations and visual examples, we'll demonstrate how these techniques work without delving into overly technical details. The session will prompt discussion about implementing forensic approaches in ways that enhance fairness and inclusivity while maintaining security.
Participants of all backgrounds will gain insight into both real-time monitoring and post-exam analysis methods that can improve the credibility of online assessments for all stakeholders.