This study explores the integration of behavioral metrics into traditional student evaluation frameworks to gain deeper insights into test-taking strategies and performance. Metrics such as total time spent on tests, time efficiency, correct-to-incorrect answer ratios, and question revisit proportions are quantified using well-defined formulas. The aim is to complement traditional grading systems by providing educators with actionable insights into time management, decision-making, and confidence levels. This paper highlights the methodology for metric computation, discusses findings using simulated datasets, and illustrates potential applications in educational assessments.
