Success in CS Moodle Site
Custom Moodle learning management system
Technologies Used
Overview
A heavily customized Moodle implementation designed to support introductory computer science courses with integrated coding assessments, progress dashboards, and predictive analytics.
The system extends Moodle's core functionality with custom plugins for code submission and automated testing, peer review workflows, and early warning systems to identify struggling students.
Integration with external tools provides a seamless experience for students, bringing together course materials, assignments, discussions, and grading in one cohesive platform.
The Challenge
Extend Moodle to support automated code grading, provide real-time analytics to instructors, and create an intuitive interface for students new to computer science.
The Solution
Developed custom Moodle plugins using PHP and Python for secure code execution and grading, implemented JavaScript-based dashboards for student progress visualization, and created a custom theme optimized for coding coursework.
Impact
Supported 3,000+ students across multiple semesters. Automated grading reduced instructor workload by 15 hours per week. Early warning system helped identify at-risk students, contributing to a 25% reduction in course withdrawal rates.