student-activity-analysis

What problem does it solve?

This Skill automates the time-consuming process of tracking student progress in software engineering courses. It eliminates manual checks of Git activity, lab submissions, and project contributions, even handling common inconsistencies like multiple GitHub usernames or misplaced files.

Core Features & Use Cases

• Automated Git Activity Analysis: Tracks student commits, first/last commit dates, and overall activity levels across the repository.
• Lab & Project Progress Tracking: Verifies completion of specific labs (e.g., intro.py, lab03 folders) and analyzes contributions to team project directories.
• Robust Data Handling: Designed to manage real-world student behavior, including variations in usernames, name spellings, and non-standard file placements.
• Use Case: A course instructor needs a quick, comprehensive overview of student engagement and progress before mid-term evaluations. This Skill generates a detailed report, highlighting at-risk students with no activity and celebrating top performers, enabling proactive intervention and fair assessment.

Quick Start

Update the student activity analysis for the '2025-intro-swe' course.