Adds a card-interval history graph and today's progress to the stats window, though initial data generation may take a few minutes and deck filtering is unavailable.
Alternatives to Add-On fuer Studie "Lerntypen und Online-Lehrformate"
AnkiWeb addon 760398231
AI answer
Starting…
Answers are generated by Claude from the catalog data and may contain mistakes.
Similar addons (found without AI)
Adds AI-powered study tools to Anki, including a card-aware chat tutor, generated multiple-choice questions, inline answer grading, natural-language search, progress heatmaps, and learning forecasts, though currently German-only and experimental.
Generates Estonian vocabulary flashcards from an online dictionary, including principal forms, translations, definitions and examples, via a deck-builder interface with configurable language, deck and note type.
Turns Anki reviews into a farming game where each answer earns gold to grow crops, animals and machines, craft goods and complete village orders.
Preconfigures Anki via a guided setup with recommended add-ons, FSRS, pinned decks, dashboards, daily stats, a search helper, pomodoro timer, and three themes.
Adds a calm, customizable garden that grows with XP and levels earned from reviewed cards, unlocking animals, decorations, and answer animations.
Selects matching cards by semester, subject, and lecture into a custom study deck, then returns them to the main deck for normal reviews.
Displays a review-screen overlay comparing your Again/Hard/Good/Easy ratings with anonymous community averages for mapped decks, while uploading limited anonymized card and rating data.
Provides custom note types for a clinical flashcard deck, one-by-one clozes, and a learning-plan manager for scheduling daily study tasks.
Generates basic, cloze, and pairing flashcards from any text using ChatGPT, with selectable model, card count, response length, editing, manual review, and automatic language detection.
Silently collects learning-process data and card metadata in the background, without affecting study, to support machine-learning research on estimating intervals from user performance and card specifications.
Selects matching cards by semester, subject, lecture, or study plan, activates them with yield filters, and creates filtered decks, including nested subtag decks.