Introduction

Welcome to Pearl Data Assistant, your comprehensive tool for educational data analysis. This guide will help you understand and utilize all features effectively.

Key Features

  • Student performance analysis
  • Grade distribution visualization
  • Growth tracking over time
  • Equity analysis across demographics
  • Item analysis for assessments
  • Attendance pattern analysis

Getting Started

System Requirements

Pro Tip: Before starting, ensure your data is clean and properly formatted. This will save time and prevent errors during analysis.

Analysis Types

Student Performance Analysis

Track and analyze individual and group academic performance.

Features:
  • Test score analysis
  • Assignment average calculations
  • Performance trend identification

Grade Distribution Analysis

Understand the spread of grades across your class.

Features:
  • Grade frequency visualization
  • Percentile calculations
  • Statistical measures

Growth Analysis

Track student progress over time.

Features:
  • Learning gains measurement
  • Progress rate calculations
  • Trend identification

Data Requirements

File Formats

The application accepts:

Sample Data Format

Student_ID,Subject,Score,Date 1001,Math,85,2024-01-15 1002,Math,92,2024-01-15 1003,Math,78,2024-01-15
Important: Ensure your column headers match exactly with the template format. The system is case-sensitive.

Using Templates

Downloading Templates

  1. Find the analysis type you want to perform
  2. Click the download icon (↓) next to the analysis card
  3. Save the template to your computer
Tip: Use the templates as a guide for formatting your own data. The column names and order are important for proper analysis.

Performing Analysis

Step-by-Step Process

  1. Select your analysis type from the main dashboard
  2. Upload your prepared data file
  3. Configure any additional parameters
  4. Review and interpret the results
Note: Always verify your data has been uploaded correctly before proceeding with analysis.

Interpreting Results

Common Metrics

Performance Metrics

  • Mean Score: Average performance
  • Median Score: Middle value
  • Standard Deviation: Spread of scores

Growth Metrics

  • Absolute Growth: Raw score changes
  • Relative Growth: Percentage improvements
  • Growth Rate: Speed of progress

Troubleshooting

Common Issues

  • File Upload Errors: Check file format and size
  • Data Format Problems: Verify column headers and data types
  • Analysis Errors: Ensure all required fields are filled
Need Help? Contact our support team at support@pearldataassistant.com

Best Practices

Data Preparation

  • Clean your data before uploading
  • Use consistent naming conventions
  • Verify data accuracy
  • Remove sensitive information

Analysis Tips

  • Start with broad analyses
  • Drill down into specific areas of interest
  • Compare multiple metrics
  • Document your findings