1. Define Key Academic Performance Metrics

Identify the relevant metrics for comparison, such as:

• Student pass rates
• Average test scores
• Attendance rates
• Completion rates for courses/modules
• Student engagement levels (e.g., participation in discussions, assignment submissions)

2. Gather Baseline Data

• Use historical data as a reference point (e.g., last year’s performance, industry standards).
• Ensure the baseline data is consistent with the current academic structure and criteria.

3. Collect Current and Previous Months’ Data

• Extract data from academic reports, learning management systems (LMS), or internal records.
• Ensure accuracy by verifying data sources and methodologies.

4. Perform Comparative Analysis

• Compare the current month’s metrics with the baseline and previous months.
• Identify trends, improvements, or declines in performance.
• Use statistical methods (e.g., percentage changes, growth rates) to quantify differences.

5. Interpret the Results

• Highlight key findings, such as:
  • Areas where performance has improved.
  • Metrics that indicate decline or stagnation.
  • Potential reasons for observed trends (e.g., curriculum changes, student engagement strategies).

6. Generate a Report & Recommendations

• Summarize insights in a structured report or dashboard.
• Provide actionable recommendations to improve academic performance.
• Suggest strategies such as curriculum adjustments, faculty training, or student support initiatives.