Progress & Analytics

📊 Analytics Views

The Progress & Analytics section provides multiple views of student data:

👥 Student Progress View

The Student Progress view shows all enrolled students with their key metrics:

Student List

Each student row displays:

• Name & Email: Student identification
• Enrollment Date: When they joined the class
• Last Active: Most recent activity timestamp
• Questions Answered: Total assessment questions attempted
• Overall Score: Percentage correct across all questions
• Time Spent: Total time in learning modules

Individual Student Details

Clicking on a student opens detailed analytics:

🎯 Competency Matrix

The Competency Matrix provides a bird's-eye view of class-wide performance across all competencies.

Matrix Layout

• Rows: Students (sorted by overall performance)
• Columns: Competencies
• Cells: Color-coded performance (green = proficient, yellow = developing, red = needs focus)

Use Cases

• Identify competencies where the whole class struggles
• Find students who need individual attention
• Plan targeted review sessions for weak areas
• Track improvement over time

📈 Proficiency Levels

UALS uses a three-tier proficiency system:

☑️ SATA vs. Single-Choice Analysis

UALS tracks SATA (Select All That Apply) questions separately from single-choice questions because they have different difficulty characteristics.

Why Separate Tracking?

• SATA questions are inherently more difficult
• Students must identify ALL correct answers
• Partial credit scoring differs from all-or-nothing
• Different cognitive skills are tested

Analytics Include

• SATA accuracy vs. single-choice accuracy
• Common SATA mistakes (missed correct answers vs. selected wrong ones)
• Per-competency SATA performance

🔄 Rolling Window Scoring

UALS uses a rolling window approach for calculating current performance. This means recent performance is weighted more heavily than older attempts.

How It Works

• Window size = 2 × number of competencies × questions per item
• Only the most recent N questions are included in the score
• This reflects current ability, not historical performance

Example

For a class with 8 competencies and 2 questions per item:

Window Size = 2 × 8 × 2 = 32 questions

If a student has answered 100 questions total,
only the most recent 32 are used for the rolling score.

🔌 Analytics API

All analytics data is available via API for custom integrations:

Example: Get Student Report Card

const response = await fetch(
  `/api/xapi-analytics/report-card?email=${studentEmail}&classId=${classId}`,
  {
    credentials: 'include',
    headers: { 'Content-Type': 'application/json' }
  }
);

const reportCard = await response.json();
console.log(reportCard);
// {
//   student: { email, name },
//   class: { id, title },
//   overallScore: 85.5,
//   sataAccuracy: 78.2,
//   singleChoiceAccuracy: 92.1,
//   competencies: [...],
//   timeline: { firstActivity, lastActivity, daysActive }
// }

🔒 Data Privacy

Analytics data is stored in your xAPI Learning Record Store (LRS):

• Data Ownership: All data belongs to your institution
• GDPR Compliance: Students can request data export/deletion
• Access Control: Only authorized teachers see student data
• No Third Parties: Data never leaves your LRS

Best Practices