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Case Study 3 - AI-Driven Exam Integrity and Fairness: The YouTestMe Platform as a Case Study

Abstract (Summary):This case study examines YouTestMe, an AI-powered platform addressing challenges in online exam integrity and fairness. Key innovationsinclude:

Transparency and post-evaluation explanations further enhance trust in AI- driven results.

  • AI AutoMarking: Automated essay scoring using NLP to evaluate semantic coherence, structural integrity, and linguistic accuracy, reducing grader workload while maintaining consistency.
  • Automated Proctoring: AI monitors test-takers for suspicious behaviors (e.g., window switching, face mismatch) with 98% detection accuracy, ensuring exam security.
  • Fairness Perceptions: Studies show students perceive AI algorithms as fairer than human evaluators, particularly in formative assessments

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