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92 lines
2.0 KiB
Python
92 lines
2.0 KiB
Python
"""
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Classroom Engine - State Machine fuer Unterrichtsphasen
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Dieses Package implementiert eine Finite State Machine fuer die
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Steuerung von Unterrichtsstunden mit 5 Phasen:
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1. Einstieg (8 Min) - Motivation, Problemstellung
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2. Erarbeitung (20 Min) - Hauptarbeitsphase
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3. Sicherung (10 Min) - Ergebnisse festhalten
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4. Transfer (7 Min) - Anwendung
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5. Reflexion (5 Min) - Rueckblick, Hausaufgaben
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Features:
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- Phasen-Timer mit Countdown und Warnungen
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- Phasenspezifische Content-Vorschlaege
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- Session-History fuer Analytics
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"""
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from .models import (
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LessonPhase,
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PhaseConfig,
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LessonSession,
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LessonTemplate,
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PhaseSuggestion,
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Homework,
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HomeworkStatus,
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PhaseMaterial,
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MaterialType,
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LESSON_PHASES,
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SYSTEM_TEMPLATES,
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get_default_durations,
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)
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from .fsm import LessonStateMachine
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from .timer import PhaseTimer
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from .suggestions import SuggestionEngine, PHASE_SUGGESTIONS, SUBJECT_SUGGESTIONS
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from .context_models import (
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MacroPhaseEnum,
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EventTypeEnum,
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EventStatusEnum,
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RoutineTypeEnum,
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RecurrencePatternEnum,
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TeacherContextDB,
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SchoolyearEventDB,
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RecurringRoutineDB,
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FEDERAL_STATES,
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SCHOOL_TYPES,
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)
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from .antizipation import (
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SignalCollector,
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RuleEngine,
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SuggestionGenerator,
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Signals,
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Suggestion,
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SuggestionTone,
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ActiveContext,
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ContextType,
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)
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from .analytics import LessonReflection
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__all__ = [
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"LessonPhase",
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"PhaseConfig",
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"LessonSession",
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"LessonTemplate",
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"PhaseSuggestion",
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"Homework",
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"HomeworkStatus",
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"PhaseMaterial",
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"MaterialType",
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"LESSON_PHASES",
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"SYSTEM_TEMPLATES",
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"get_default_durations",
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"LessonStateMachine",
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"PhaseTimer",
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"SuggestionEngine",
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"PHASE_SUGGESTIONS",
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"SUBJECT_SUGGESTIONS",
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# Phase 8: Schuljahres-Kontext
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"MacroPhaseEnum",
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"EventTypeEnum",
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"EventStatusEnum",
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"RoutineTypeEnum",
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"RecurrencePatternEnum",
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"TeacherContextDB",
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"SchoolyearEventDB",
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"RecurringRoutineDB",
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"FEDERAL_STATES",
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"SCHOOL_TYPES",
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# Analytics
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"LessonReflection",
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]
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