2 min readMohammad Shaker

[اردو] How Spaced Repetition Science Powers Your Child's Arabic Memory

[Urdu Translation] Amal uses Half-Life Regression (HLR), a spaced repetition algorithm that calculates the optimal time to review each Arabic word. The system tracks mem...

Learning Science

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[Urdu Translation] Amal uses Half-Life Regression (HLR), a spaced repetition algorithm that calculates the optimal time to review each Arabic word. The system tracks mem...

# How Spaced Repetition Science Powers Your Child's Arabic Memory [Urdu content] ## How Spaced Repetition Science Powers Your Child's Arabic Memory Amal uses Half-Life Regression (HLR), a spaced repetition algorithm that calculates the optimal time to review each Arabic word, letter, or concept for your child. The system tracks each item's "memory half-life" — the time it takes for recall probability to drop to 50% — and schedules reviews just before your child would forget. This means every minute of practice is maximally efficient. ### What Is Spaced Repetition? The **forgetting curve** describes how memory decays: new information is forgotten exponentially unless reviewed. The optimal learning strategy: 1. Learn something new 2. Review it before you'd forget (typically 1-3 days later) 3. Each correct review strengthens memory and increases the optimal review interval 4. Reviews can eventually be spaced months apart for truly mastered items **The problem with most apps**: They ignore the forgetting curve. Duolingo uses streaks (arbitrary daily practice). Flashcard apps leave review scheduling to manual selection. Amal calculates the *scientifically optimal* review time for every single concept. ### The HLR Formula Half-Life Regression models memory as exponential decay: ``` p(recall) = 2^(-Δ / h) ``` Where: - **p(recall)** = probability your child recalls the item correctly (0 to 1) - **Δ** = hours since last practice - **h** = half-life (hours for recall probability to drop to 50%) **Example timeline for the letter "ب":** - Day 1: Child learns

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