Mixed-methods case study explores how cognitive and psychosocial factors influence gifted students' acceleration decisions, suggesting personalized assessments.
Academic acceleration decisions for gifted students require a shift from single-scale, grade-based approaches toward integrated, multi-domain assessments that consider cognitive abilities, academic performance, and psychosocial readiness together. This mixed-methods case study examines three Saudi students who experienced academic acceleration and who present distinct cognitive–academic profiles—designated as “Outstanding” (O.F.), “Inconsistent” (O.L.), and “Inconsistent and Regressing” (O.M.)—to explore how the congruence among cognitive abilities (measured by CogAT), academic performance (evaluated through predictive descriptive modeling), and psychosocial readiness (assessed by the modified PDAS) influences acceleration decision making. Data were collected from cognitive tests, academic records, PDAS scores, and semi-structured interviews with students, teachers, and parents. Findings indicate that strong convergence across the three domains was associated with successful whole-grade acceleration, whereas domain-specific mismatch and significant weakness in fluid reasoning were associated with academic decline, psychological distress, and social difficulties. Composite scores masked substantial variations within these asymmetric patterns, leading to potentially inappropriate classifications. Although parental support varied across cases and appeared associated with student outcomes, a causal relationship could not be established within this exploratory design. The study concludes that acceleration policies should move beyond general averages toward individualized, profile-based assessments that consider subject-specific acceleration and psychosocial support when needed. All findings are preliminary observations that require replication with larger samples and longitudinal designs before definitive conclusions can be drawn.
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Yusra Zaki Aboud (2026) studied this question.
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