Study Mode: Weak Points Focus

[JohanDevl]

Objective

Create an intelligent "Weak Points" study mode that automatically focuses on the user's problem areas, providing targeted practice where it's needed most.

Description

Develop a smart study mode that analyzes user performance data to identify knowledge gaps and weak areas, then creates personalized study sessions focused on improving these specific weaknesses.

Expected Features

Weak Point Identification

• Performance Analysis: Identify topics with low accuracy rates
• Pattern Recognition: Find recurring mistake patterns across domains
• Gap Detection: Locate unmastered concepts within covered material
• Difficulty Assessment: Areas where performance drops with increased difficulty

Intelligent Session Creation

• Adaptive Question Selection: Choose questions from identified weak areas
• Progressive Difficulty: Start with easier questions in weak areas, gradually increase
• Spaced Repetition: Re-introduce previously incorrect questions at optimal intervals
• Mixed Practice: Combine weak areas with some strengths for confidence building

Progress Tracking

• Weakness Severity Scoring: Rate each weak area by impact on overall performance
• Improvement Metrics: Track progress in targeted areas over time
• Mastery Thresholds: Define when a weak area becomes a strength
• Recovery Analytics: Monitor how quickly weak areas improve

Session Customization

• Focus Intensity: Choose how strictly to focus on weaknesses (50%-100%)
• Domain Selection: Target specific ServiceNow domains or all weak areas
• Session Length: Adaptive session sizing based on weak area count
• Review Mode: Include explanations and detailed feedback for weak areas

Acceptance Criteria

• System accurately identifies actual weak areas from performance data
• Question selection prioritizes most impactful weaknesses
• Progressive difficulty adjustment works smoothly
• Progress tracking shows meaningful improvement metrics
• Session customization options function correctly
• Integration with existing exam and question systems works seamlessly
• Performance remains optimal with large question datasets
• Mobile interface handles weak point sessions appropriately

Algorithm Details

Weakness Scoring Formula:

• Accuracy Weight (40%): Success rate in topic area
• Question Count Weight (20%): Number of attempts in area
• Recent Performance Weight (25%): Performance trend over last sessions
• Impact Weight (15%): How much this weakness affects overall readiness

Question Selection Logic:

1. Priority Queue: Questions sorted by weakness impact score
2. Diversity Factor: Ensure variety within weak areas
3. Difficulty Progression: Start easier, increase based on performance
4. Repetition Timing: Space out repeated questions optimally

User Interface Design

Mode Selection:

• Clear "Weak Points Focus" mode in study options
• Preview of identified weak areas before starting session
• Customization controls for session intensity and focus
• Expected session duration and question count estimates

During Session:

• Progress indicator showing improvement in targeted areas
• Contextual feedback when user improves in a weak area
• Hints and additional explanations for challenging concepts
• Option to extend session if making good progress

Post-Session Analysis:

• Summary of weak areas addressed in session
• Progress made in each targeted weakness
• Recommendations for next weak point focus session
• Updated weakness priorities based on session results

Data Integration

Required Data Sources:

• questionStates for performance history
• Question categories and difficulty levels from exam data
• Session statistics for temporal analysis
• User preferences for customization

Performance Considerations:

• Efficient algorithms for real-time weakness calculation
• Caching of analysis results for quick session start
• Background processing for weakness scoring updates
• Optimized question filtering and selection

Estimation

Complexity: Large (L)
Estimated Time: 3-4 days