Analytics Dashboard
Last updated
Last updated
Log in to your VEGA AI account
Click on the "Analytics" tab in the main navigation menu
You'll land on the main analytics dashboard showing overall student performance
The analytics dashboard is organized into three main sections, accessible via tabs at the top of the page:
Overall Analytics: Comprehensive view of all student performance metrics
Batch Analytics: Performance analysis grouped by student batches
Scheduled Tests Analytics: Analysis of performance in scheduled assessments
Student selection dropdown
Test type filters (Diagnostic, Full Length, Play)
Performance metrics display
AI-generated insights
Interactive graphs and charts
The overall analytics view provides comprehensive performance insights:
Displays overall SAT projected scores
Breaks down scores by section (Math, Reading & Writing)
Shows score progression over time
Includes AI-generated performance predictions
Topic-wise mastery levels
Percentage-based progress indicators
Color-coded proficiency levels (Novice, Intermediate, Advanced, Expert)
Detailed breakdown by subject area
For analyzing group performance:
Dropdown menu to select specific batches
Quick view of active batches
Student count and batch status
Aggregate performance scores
Distribution of mastery levels
Group progress indicators
Comparative analysis tools
Focused on test performance tracking:
Test name and category
Date and time of test
Number of participants
Test completion rates
Red Zone*: Number of students requiring immediate attention
Yellow Zone*: Students showing moderate performance
Green Zone*: Students performing at or above expectations
Error Analysis
Frequency of errors by topic
Error patterns visualization
AI-generated improvement suggestions
Topic-wise error breakdown
Time Management
Average time spent per question
Time distribution across topics
Efficiency metrics
Time management recommendations
Topic-wise Mastery
Percentage-based proficiency scores
Progress tracking over time
Skill level categorization
Growth indicators
The dashboard features several AI-powered analytical components:
Strength & Weakness Analysis
Top three areas of strength
Areas needing improvement
Skill gap identification
Targeted recommendations
Performance Predictions
Projected score calculations
Progress forecasting
Achievement timelines
Goal-setting suggestions
Adjust time periods for analysis
Filter by test types
Select specific topics for focus
Customize data visualization
Switch between graph types
Toggle between percentage and raw scores
Adjust detail level of analysis
Export data in various formats
Check overall analytics weekly
Review batch performance after each test
Monitor individual student progress regularly
Track improvement in identified weak areas
Look for patterns in performance data
Pay attention to AI-generated insights
Compare current performance with historical data
Use multiple metrics for comprehensive understanding
Address red zone indicators promptly
Use insights to modify teaching strategies
Set achievable improvement goals
Monitor the impact of interventions
Note: The specific features and metrics available may vary based on your subscription level and institution type.
Start Broad, Then Focus: Begin with overall analytics before drilling down into specific areas
Use Filters Effectively: Utilize filtering options to focus on relevant data
Regular Check-ins: Establish a routine for reviewing different aspects of the dashboard
Track Progress: Document changes and improvements over time
Share Insights: Use the data to communicate progress with stakeholders
Each section of the analytics dashboard is designed to provide actionable insights while maintaining ease of use. The next sections will dive deeper into specific features and how to maximize their utility for your teaching practice.
