"""
Enhanced Learning Module
Generated by Eden via recursive self-improvement
2025-11-01 09:37:08.032700
"""

class EnhancedLearningModule:
    """
    This class implements an adaptive learning module that adjusts its teaching methods based on the user's performance.
    
    Methods:
        - initialize_user(user_data): Initializes the learning process for a new or existing user.
        - evaluate_performance(quiz_scores): Evaluates the user's quiz scores to determine their current learning level.
        - recommend_study_plan(plan_type, difficulty): Recommends a study plan based on the user's performance and desired difficulty level.
    """
    
    def __init__(self):
        self.user_data = {}
        
    def initialize_user(self, user_data):
        """Initialize the learning process for a new or existing user."""
        self.user_data = user_data
        print("User data initialized.")
        
    def evaluate_performance(self, quiz_scores):
        """Evaluate the user's quiz scores to determine their current learning level."""
        if not quiz_scores:
            return "Insufficient data for evaluation."
        
        average_score = sum(quiz_scores) / len(quiz_scores)
        if average_score >= 90:
            return "User is performing exceptionally well!"
        elif average_score >= 75:
            return "User is performing well. Consider reinforcing some concepts."
        elif average_score >= 60:
            return "User needs more practice and review."
        else:
            return "User may need additional support or a different learning approach."
        
    def recommend_study_plan(self, plan_type, difficulty):
        """Recommend a study plan based on the user's performance and desired difficulty level."""
        if plan_type not in self.user_data.get('preferred_learning_types', []):
            return f"Plan type '{plan_type}' is not among the preferred learning types."
        
        # Define different study plans
        study_plans = {
            'visual': {'easy': ['Watch educational videos', 'Read textbooks'], 
                       'medium': ['Take interactive quizzes', 'Participate in group discussions']},
            'auditory': {'easy': ['Listen to lectures', 'Join discussion forums'],
                         'medium': ['Engage in verbal problem-solving sessions', 'Partake in Q&A sessions']}
        }
        
        plan_recommendation = study_plans[plan_type][difficulty]
        return f"Recommended study plan for {plan_type} learning with {difficulty} difficulty level: {plan_recommendation}"

# Example usage
ml_module = EnhancedLearningModule()
user_data = {'preferred_learning_types': ['visual', 'auditory']}
ml_module.initialize_user(user_data)

quiz_scores = [85, 92, 76]
performance_evaluation = ml_module.evaluate_performance(quiz_scores)
print(performance_evaluation)

study_plan_recommendation = ml_module.recommend_study_plan('visual', 'medium')
print(study_plan_recommendation)