Feature 1 — StarRating: 1-3 stars per exercise (100%=3, 70%=2, <70%=1)
Feature 2 — Progress bar in UnitCard with Leitner box distribution
Feature 3 — Listening exercise: hear word via TTS, choose correct translation
Feature 4 — Matching game: tap-to-match EN↔DE pairs (6 per round)
Feature 5 — Pronunciation: word with syllable bows + mic → STT comparison
Feature 6 — Syllable bows in FlashCards (SyllableBow under word + IPA)
UnitCard now shows 6 exercise types: Karten, Quiz, Tippen, Hoeren,
Zuordnen, Sprechen. Progress bar and star count displayed.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Phase 3.2 — MicrophoneInput.tsx: Browser Web Speech API for
speech-to-text recognition (EN+DE), integrated for pronunciation practice.
Phase 4.1 — Story Generator: LLM-powered mini-stories using vocabulary
words, with highlighted vocab in HTML output. Backend endpoint
POST /learning-units/{id}/generate-story + frontend /learn/[unitId]/story.
Phase 4.2 — SyllableBow.tsx: SVG arc component for syllable visualization
under words, clickable for per-syllable TTS.
Phase 4.3 — Gamification system:
- CoinAnimation.tsx: Floating coin rewards with accumulator
- CrownBadge.tsx: Crown/medal display for milestones
- ProgressRing.tsx: Circular progress indicator
- progress_api.py: Backend tracking coins, crowns, streaks per unit
Also adds "Geschichte" exercise type button to UnitCard.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
New feature: After OCR vocabulary extraction, users can generate interactive
learning modules (flashcards, quiz, type trainer) with one click.
Frontend (studio-v2):
- Fortune Sheet spreadsheet editor tab in vocab-worksheet
- "Lernmodule generieren" button in ExportTab
- /learn page with unit overview and exercise type cards
- /learn/[unitId]/flashcards — Flip-card trainer with Leitner spaced repetition
- /learn/[unitId]/quiz — Multiple choice quiz with explanations
- /learn/[unitId]/type — Type-in trainer with Levenshtein distance feedback
- AudioButton component using Web Speech API for EN+DE TTS
Backend (klausur-service):
- vocab_learn_bridge.py: Converts VocabularyEntry[] to analysis_data format
- POST /sessions/{id}/generate-learning-unit endpoint
Backend (backend-lehrer):
- generate-qa, generate-mc, generate-cloze endpoints on learning units
- get-qa/mc/cloze data retrieval endpoints
- Leitner progress update + next review items endpoints
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
