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This study applies Item Response Theory (IRT) models to the DANVA-2-RV, a widely used tool for assessing nonverbal emotion recognition in children. Using responses from 217 students, we estimate item difficulty and discrimination across the 64-item set and simulate a computerized adaptive test (CAT). Results reveal a concentration of overly easy or poorly discriminating items, limiting measurement precision. Full-item ICC analysis confirms content imbalance and identifies items for revision. The CAT simulation supports adaptive administration but highlights gaps in high-difficulty item coverage. Findings demonstrate the value of IRT in revalidating legacy measures and advancing more efficient, inclusive, and psychometrically sound tools for emotional assessment—aligned with broader efforts to “unforget” histories and reimagine the future of educational research.