A Web-Based Automated Programming Practice And Assessment Platform

Abstract

Developing strong programming skills requires consistent practice and immediate feedback. However, in many traditional classroom settings, evaluation is often delayed and manually intensive, slowing the learning process. This paper presents the design and implementation of a web-based programming practice platform that combines a structured Multiple-Choice Questions (MCQ) management system with an interactive code playground. The platform enables instructors to organize questions by subject domain and difficulty level, while allowing students to practice coding in a flexible, self-paced environment. The system incorporates secure remote code execution with multi-language support, including Python, C, and Java. A test case–driven automated grading mechanism evaluates submissions using output normalization and partial scoring to provide immediate and accurate feedback. Experimental evaluation demonstrates a measurable reduction in manual grading effort, faster feedback cycles, and increased learner engagement, ultimately enhancing programming proficiency through continuous, practice-oriented learning.