Revitalizing CodeQuest Mobile App: Performance Optimization for Immersive OOP Learning

In the rapidly evolving landscape of technology and education, the effectiveness of online learning platforms plays a pivotal role in shaping student experiences. This study addresses the need to revitalize CodeQuest (CQ), an online platform dedicated to Object-Oriented Programming (OOP), by focusing on performance optimization. The primary objectives are to identify and rectify performance bottlenecks within CodeQuest and measure the impact of these optimizations on the learning experience of OOP students. Through a mixed-methods approach, combining quantitative and qualitative analyses, the study systematically assesses the platform's performance using tools such as GTmetrix, Google PageSpeed Insights, and others. The pre-optimization analysis reveals challenges in response time, load times, and resource utilization. Strategic optimizations, including addressing client-side workloads and render-blocking resources, are implemented. Post-optimization tests demonstrate a significant improvement, with the GTmetrix grade jumping from ‘C’ to ‘A.’ Web vitals metrics, such as Largest Contentful Paint and Total Blocking Time, exhibit remarkable enhancements. These improvements directly contribute to a more responsive and visually stable user experience. Positive trends in user engagement metrics affirm the success of the optimization efforts. The study concludes with reflections on the broader implications for educational technology. It highlights CodeQuest as a model for OOP education and a blueprint for enhancing online learning environments through performance optimization.