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Using Machine Learning for Identification: Development of the Cognitive Assessment Battery for Twice Exceptionality

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Gifted Child Quarterly

Published online on

Abstract

Gifted Child Quarterly, Ahead of Print.
The identification of twice-exceptional (2e) students is a complex challenge, primarily due to cognitive masking. In this study, we developed the Cognitive Assessment Battery for Twice Exceptionality (2eCAB) and evaluated the classification performance of ...