Spanish Vocabulary Retention Estimator
ANA›Life Services Authority›National Calculator Authority›Spanish Vocabulary Retention Estimator
.calc-container { max-width: 640px; margin: 2rem 0; padding: 1.5rem; background: #fff; border: 1px solid #ddd; border-radius: 8px; box-shadow: 0 1px 3px rgba(0,0,0,0.06); font-family: system-ui, -apple-system, sans-serif; } .calc-container h3 { font-family: Georgia, serif; font-size: 1.15rem; color: #1a1a1a; margin-bottom: 1rem; padding-bottom: 0.5rem; border-bottom: 2px solid var(--ac, #3d5a80); } .calc-row { display: flex; align-items: center; gap: 0.75rem; margin-bottom: 0.75rem; flex-wrap: wrap; } .calc-row label { min-width: 160px; font-size: 0.9rem; color: #333; font-weight: 500; } .calc-row input[type="number"], .calc-row select { flex: 1; min-width: 120px; max-width: 200px; padding: 0.5rem 0.6rem; border: 1px solid #ccc; border-radius: 4px; font-size: 0.9rem; font-family: system-ui, sans-serif; color: #1a1a1a; background: #fafaf8; } .calc-row input:focus, .calc-row select:focus { outline: none; border-color: var(--ac, #3d5a80); box-shadow: 0 0 0 2px rgba(26,74,138,0.12); } .calc-row .unit { font-size: 0.82rem; color: #888; min-width: 30px; } .calc-btn { display: inline-block; margin-top: 0.5rem; padding: 0.55rem 1.5rem; background: var(--ac, #3d5a80); color: #fff; border: none; border-radius: 4px; font-size: 0.9rem; font-weight: 600; cursor: pointer; font-family: system-ui, sans-serif; } .calc-btn:hover { opacity: 0.9; } .calc-result { margin-top: 1.25rem; padding: 1rem 1.25rem; background: #f0f6fc; border-left: 3px solid var(--ac, #3d5a80); border-radius: 0 6px 6px 0; display: none; } .calc-result.visible { display: block; } .calc-result-label { font-size: 0.78rem; text-transform: uppercase; letter-spacing: 0.06em; color: #666; margin-bottom: 0.25rem; } .calc-result-value { font-size: 1.6rem; font-weight: 700; color: var(--ac, #3d5a80); } .calc-result-detail { font-size: 0.85rem; color: #555; margin-top: 0.5rem; line-height: 1.5; } .calc-note { margin-top: 1rem; font-size: 0.8rem; color: #888; font-style: italic; } .calc-grid { display: grid; grid-template-columns: 1fr 1fr; gap: 0.75rem; margin-top: 0.75rem; } .calc-grid-item { padding: 0.6rem 0.8rem; background: #f8f9fa; border-radius: 4px; border: 1px solid #eee; } .calc-grid-item .label { font-size: 0.75rem; color: #888; text-transform: uppercase; letter-spacing: 0.04em; } .calc-grid-item .value { font-size: 1.1rem; font-weight: 600; color: #1a1a1a; } @media (max-width: 720px) { .calc-row { flex-direction: column; align-items: flex-start; gap: 0.3rem; } .calc-row label { min-width: auto; } .calc-row input[type="number"], .calc-row select { max-width: 100%; width: 100%; } .calc-grid { grid-template-columns: 1fr; } } .calc-chart { margin: 1rem 0; text-align: center; } .calc-chart svg { max-width: 100%; height: auto; } .calc-chart-legend { display: flex; flex-wrap: wrap; justify-content: center; gap: 0.6rem 1.2rem; margin-top: 0.6rem; font-size: 0.8rem; color: #555; } .calc-chart-legend span { display: inline-flex; align-items: center; gap: 0.3rem; } .calc-chart-legend i { display: inline-block; width: 10px; height: 10px; border-radius: 2px; font-style: normal; } .calc-related { max-width: 640px; margin: 2rem 0 1rem; padding: 1.25rem 1.5rem; background: #f8f9fa; border: 1px solid #e8e8e8; border-radius: 8px; } .calc-related h3 { font-family: Georgia, serif; font-size: 1rem; color: #1a1a1a; margin: 0 0 0.75rem; padding-bottom: 0.4rem; border-bottom: 2px solid var(--ac, #3d5a80); } .calc-related-list { list-style: none; padding: 0; margin: 0 0 0.75rem; display: grid; grid-template-columns: 1fr 1fr; gap: 0.4rem 1.5rem; } .calc-related-list li a { font-size: 0.88rem; color: var(--ac, #3d5a80); text-decoration: none; } .calc-related-list li a:hover { text-decoration: underline; } .calc-browse-all { margin: 0.5rem 0 0; font-size: 0.9rem; font-weight: 600; } .calc-browse-all a { color: var(--ac, #3d5a80); text-decoration: none; } .calc-browse-all a:hover { text-decoration: underline; } @media (max-width: 720px) { .calc-related-list { grid-template-columns: 1fr; } }
Spanish Vocabulary Retention Estimator
Estimate long-term Spanish vocabulary retention using the Ebbinghaus Forgetting Curve combined with spaced repetition and active recall factors.
Total Words Studied
Number of Spanish words you have actively studied.
Days Since Last Review
How many days ago you last reviewed the vocabulary.
Number of Past Review Sessions
Total number of times you have reviewed this vocabulary set.
Active Recall Accuracy (%)
Your average correct recall rate during practice sessions (1–100%).
Primary Study Method
Passive Reading / Listening Flashcards (no spaced repetition) Spaced Repetition System (SRS) SRS + Active Writing Practice SRS + Immersion (speaking/writing daily)
Your primary method of studying Spanish vocabulary.
Average Sleep per Night (hours)
Sleep strongly affects memory consolidation.
Estimate Retention
Your results will appear here.
function spaCalc() { const resultDiv = document.getElementById('spa-result');
// --- Gather inputs --- const wordsLearned = parseFloat(document.getElementById('spa-words-learned').value); const daysSince = parseFloat(document.getElementById('spa-days-since').value); const reviews = parseFloat(document.getElementById('spa-reviews').value); const recallRate = parseFloat(document.getElementById('spa-recall-rate').value); const methodFactor = parseFloat(document.getElementById('spa-method').value); const sleep = parseFloat(document.getElementById('spa-sleep').value);
// --- Validation --- const errors = []; if (isNaN(wordsLearned) || wordsLearned 100) errors.push("Active Recall Accuracy must be between 1 and 100."); if (isNaN(sleep) || sleep 12) errors.push("Average Sleep must be between 1 and 12 hours.");
if (errors.length > 0) { resultDiv.innerHTML = 'Please fix the following:' + errors.map(e => '').join('') + ''; return; }
// --------------------------------------------------------------- // CORE FORMULA // // Step 1 — Ebbinghaus Forgetting Curve (base retention after t days): // R_base(t) = e^(-t / S) // where S = memory stability (days), starting at 1 and growing with reviews. // // Step 2 — Memory Stability grows with each successful review: // S = 1 * (1 + 0.5 * reviews)^0.6 // (Simplified SuperMemo-style stability increase; each review multiplies stability.) // // Step 3 — Recall quality modifier (higher accuracy → slower forgetting): // recallMod = recallRate / 100 // S_adjusted = S * (0.5 + recallMod) [scales S between 0.5× and 1.5×] // // Step 4 — Study method multiplier applied to stability: // S_final = S_adjusted * methodFactor // // Step 5 — Sleep consolidation factor: // sleepFactor = 0.7 + 0.3 * (sleep / 8) [optimal at 8 h; capped at 1.0 above 8 h] // sleepFactor = min(sleepFactor, 1.0) // // Step 6 — Adjusted retention rate: // R = e^(-daysSince / S_final) * sleepFactor // R = clamp(R, 0, 1) // // Step 7 — Estimated words retained: // wordsRetained = wordsLearned * R // // Step 8 — Next optimal review interval (SuperMemo approximation): // nextReview = S_final * ln(0.9) / (-1) → day when retention drops to 90% // nextReview = S_final * 0.10536 // ---------------------------------------------------------------
// Step 2: Base stability const S_base = Math.pow(1 + 0.5 * reviews, 0.6);
// Step 3: Recall modifier const recallMod = recallRate / 100; const S_adjusted = S_base * (0.5 + recallMod);
// Step 4: Method multiplier const S_final = S_adjusted * methodFactor;
// Step 5: Sleep factor const sleepFactor = Math.min(0.7 + 0.3 * (sleep / 8), 1.0);
// Step 6: Retention rate let R = Math.exp(-daysSince / S_final) * sleepFactor; R = Math.max(0, Math.min(1, R));
// Step 7: Words retained const wordsRetained = Math.round(wordsLearned * R);
// Step 8: Next optimal review (retention drops to 90%) const nextReview = Math.max(1, Math.round(S_final * 0.10536));
// Retention category let category = '', catColor = ''; if (R >= 0.85) { category = 'Excellent'; catColor = '#27ae60'; } else if (R >= 0.65) { category = 'Good'; catColor = '#2980b9'; } else if (R >= 0.45) { category = 'Fair'; catColor = '#f39c12'; } else if (R >= 0.25) { category = 'Poor'; catColor = '#e67e22'; } else { category = 'Critical'; catColor = '#c0392b'; }
const retentionPct = (R * 100).toFixed(1);
resultDiv.innerHTML = ` ### Retention Estimate
Estimated Retention Rate ${retentionPct}% (${category}) Words Likely Retained ${wordsRetained.toLocaleString()} of ${wordsLearned.toLocaleString()} Words at Risk of Forgetting ${(wordsLearned - wordsRetained).toLocaleString()} Memory Stability (S) ${S_final.toFixed(2)} days Next Optimal Review In ${nextReview} day${nextReview !== 1 ? 's' : ''} (to stay above 90% retention) Sleep Consolidation Factor ${(sleepFactor * 100).toFixed(1)}%
Tip: ${R
`; }
#### Formula
1. Memory Stability (S): S_base = (1 + 0.5 × reviews)^0.6 S_adjusted = S_base × (0.5 + recallAccuracy) S_final = S_adjusted × methodFactor
2. Sleep Consolidation Factor: sleepFactor = min(0.7 + 0.3 × (sleep / 8), 1.0)
3. Ebbinghaus Retention Rate (R): R = e^(−daysSinceReview / S_final) × sleepFactor
4. Words Retained: wordsRetained = totalWords × R
5. Next Optimal Review Interval (90% threshold): nextReview = S_final × ln(1/0.9) ≈ S_final × 0.10536
#### Assumptions & References
- Ebbinghaus Forgetting Curve (1885): Retention decays exponentially as R = e^(−t/S), where t is elapsed time and S is memory stability.
- Memory Stability Growth: Based on SuperMemo SM-2 algorithm principles — each successful review increases the interval before the next review is needed.
- Recall Accuracy: Higher active recall accuracy during practice is associated with stronger memory traces and slower forgetting (Roediger & Karpicke, 2006 — "The Testing Effect").
- Study Method Multipliers: Passive reading offers the least durable encoding; SRS with immersion provides the strongest consolidation (Cepeda et al., 2006).
- Sleep & Memory Consolidation: Sleep, especially 7–9 hours, is critical for hippocampal-to-cortical memory transfer (Walker, 2017 — Why We Sleep). Below 7 hours reduces consolidation efficiency.
- Optimal Review Threshold: Set at 90% retention — the point at which reviewing is most efficient for long-term learning (Pimsleur, 1967; Wozniak & Gorzelanczyk, 1994).
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