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Best Anki Settings for College Students (2026 FSRS Guide)

The exact Anki settings college students should use in 2026 — FSRS retention, learning steps, new-card limits, and AI decks that save 3+ hours a week.

Krish, FounderMay 20, 20268 min

Anki is the gold standard for spaced repetition — medical students, law students, and language learners swear by it. But most college students use default settings and miss the optimizations that make Anki dramatically more effective.

Why do Anki settings matter?

The SM-2 algorithm (and its successor FSRS) schedules your reviews based on how well you remember each card. But the default parameters assume a specific forgetting curve that may not match your study pattern. Adjusting them to your schedule can improve retention by 15-20%.

What are the optimal settings for college courses?

New cards per day: 20-30 for most courses. Medical students go higher (50-100), but for a typical organic chemistry or history class, 20-30 new cards per day is sustainable without burnout.

Learning steps: Change from the default "1m 10m" to "15m 1d". This spaces your initial learning over a day instead of cramming it into minutes, which research shows improves long-term retention.

Graduating interval: Set to 3 days instead of 1. Cards that graduate too quickly get scheduled too far out and you forget them.

Maximum interval: Keep at 180 days for semester courses (you need the material for finals). Set to 365 for cumulative subjects like medicine or law.

FSRS vs SM-2: If your Anki version supports FSRS (2023+), enable it. FSRS outperforms SM-2 by approximately 15% in published benchmarks. It adapts to your personal forgetting curve automatically.

How can I make Anki cards faster?

This is where most students waste time. Making 50 flashcards manually takes 1-2 hours. Here are faster alternatives:

Option 1: AI generation. Tools like Coachingle generate complete Anki decks from any topic in 30 seconds — with proper cloze deletions and Basic cards. You type "Krebs Cycle" and download a .apkg file ready to import.

Option 2: Image occlusion. For anatomy, diagrams, and visual subjects, the Image Occlusion Enhanced add-on lets you mask parts of an image and test yourself on what's hidden.

Option 3: Lecture slide import. Upload your professor's PDF slides to an AI tool and get flashcards that use your professor's specific terminology and notation — not generic textbook language.

What are the essential Anki add-ons for college?

  1. Review Heatmap — visualize your study consistency over time
  2. Image Occlusion Enhanced — essential for anatomy and diagram-heavy subjects
  3. AnkiConnect — allows external tools to push cards directly into your collection
  4. Speed Focus Mode — auto-reveals cards after a set time to build speed
  5. True Retention — shows your actual retention rate per deck

How should I organize my Anki decks?

One deck per course, with tags for chapters and topics. Example structure:

  • Organic Chemistry 101

- Tag: ch1-bonding - Tag: ch2-stereochemistry - Tag: ch3-reactions

This lets you study by chapter before an exam while keeping everything in one deck for long-term spaced repetition.

The fastest study workflow

  1. After each lecture: generate flashcards from your slides using Coachingle (30 seconds)
  2. Import the .apkg into Anki
  3. Review new cards that evening (15 minutes)
  4. Review due cards every morning (10-20 minutes)
  5. Before the exam: use filtered decks to focus on weak topics

This workflow takes 30-45 minutes per day and replaces 3+ hours of manual note-taking per week.

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KrishFounder, Coachingle

Krish is the founder of Coachingle, where he builds the AI study tools featured throughout this blog — the Anki deck generator, flashcard maker, and cheat-sheet and quiz generators. He writes from hands-on experience designing, testing, and iterating on these tools with students preparing for US and UK exams.

More from KrishProfile →

Frequently asked questions

What are the best Anki settings for college students?

Enable FSRS and set a desired retention of 0.90 (90%), use learning steps of "1m 10m", cap new cards at 15–20 per day per class while learning material, and leave maximum reviews high enough that you never skip due cards. These defaults balance retention against daily review time for a typical full course load. Adjust desired retention up toward 0.92–0.95 only for high-stakes exams where forgetting is costly.

Should I use FSRS or the default SM-2 algorithm in Anki?

Use FSRS. It is built into modern Anki and outperforms the older SM-2 scheduler by roughly 15% in retention studies because it models your personal forgetting curve from your review history. Turn it on under Deck Options → FSRS, then let it optimize parameters after a few hundred reviews.

How many new Anki cards should I add per day?

For college coursework, 15–20 new cards per day per active subject is sustainable — enough to keep pace with lectures without the review pile snowballing. Each new card generates roughly 8–12 reviews over the following weeks, so adding 50+ per day quickly produces an unmanageable daily review load.

How can I make Anki cards faster instead of typing them?

Generate them from your source material. Coachingle turns a topic, PDF, or lecture slide deck into a full set of cards in about 30 seconds and exports a real .apkg file you import straight into Anki — so you keep Anki’s FSRS review system but skip the 20–60 minutes of manual card creation per deck.

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