A Smart Interactive and Collaborative Online Coding Platform for Programming Education using Machine Learning and Web Socket
David D. Zhang, Ang Li · Software Engineering and Applications · 2023
Amidst the swift digital evolution of the 21st century, the incorporation of computer science education across industries has become imperative [13]. This paper addresses the challenges of real-time collaboration and accessibility in programming education, introducing a collaborative coding platform. The platform empowers educators, students, and programmers to seamlessly engage in coding projects while efficiently managing progress and fostering interactive learning. By harnessing cloud databases and real-time editors, the platform provides a unified workspace for collaborative endeavors, communication, and project sharing [14]. Challenges associated with real-time collaboration across devices and compatibility were adeptly handled through Fire pad integration and platform-specific optimizations. Through empirical assessment involving students and educators, the platform's efficacy, user satisfaction, and transformative potential were gauged. The findings underscored heightened collaboration efficiency and user contentment with real-time capabilities, while also highlighting the importance of refining accessibility [15]. Ultimately, this platform presents a holistic solution to elevate programming education and collaboration, rendering it an invaluable asset across diverse scenarios.