High School GPA Analytics – Weighted vs Unweighted Performance Index
This dual‑mode GPA module derives both unweighted academic mean (baseline mastery) and weighted enhancement score (rigor‑adjusted) to support scholarship eligibility, class rank estimation, and planning for selective admissions.
Computation Layers
- Unweighted GPA: Σ(grade points) ÷ course count (A=4, B=3, C=2, D=1, F=0).
- Weighted GPA: Adds rigor premium (e.g. +1 for Honors/AP) before averaging—institutional caps may apply.
Strategic Interpretation
- Gap (Weighted − Unweighted) quantifies curricular rigor leverage.
- Flattening gap over semesters can indicate plateau in advanced course mix.
- Project scenarios: substitute anticipated AP outcomes to model end‑year targets.
Optimization Practices
- Diversify difficulty: avoid overload that risks grade compression.
- Track cumulative after each grading period for early intervention.
- Balance GPA strategy with prerequisite sequencing for advanced STEM/AP tracks.
FAQ Snapshot
- Why is weighted GPA higher? Rigor incentives reward advanced coursework.
- Are +/− modifiers supported? Extend logic by mapping A- = 3.7 etc. (current model uses integer banding).