Data-buddy: a gamified mobile learning app for interactive student engagement in data mining education

The rapid advancement of technology in education has demanded innovative teaching and learning approaches to enhance student engagement and comprehension. This project introduces a Gamified Mobile Learning App designed to support students in mastering Data Mining concepts through interactive and engaging learning experiences. The primary objective is to provide an accessible, structured, and gamified learning environment that fosters active participation, motivation, and selfpaced learning among students. The app integrates video education, quizzes, progress tracking, and gamification elements such as limited attempts and leaderboard rankings to encourage student participation and competitive learning. Developed as a Progressive Web Application (PWA), it ensures cross-platform accessibility on both desktop and mobile devices without requiring installation. The methodology involves designing an intuitive e-learning interface, implementing automated assessment with a three-attempt limit, and integrating Google authentication for seamless user access. The system stores student scores and attempts in a database, allowing for performance analysis and the implementation of adaptive learning strategies. The implementation results indicate increased student engagement, improved quiz completion rates, and enhanced understanding of Data Mining concepts. The mobile-first approach ensures flexibility and accessibility, allowing students to learn at their convenience while maintaining structured academic progress. This innovation contributes to the digital transformation of education by providing a scalable, gamified learning platform that enhances knowledge retention and self-directed learning. Future enhancements may include adaptive learning pathways, AI-based tutoring, and expanded course modules to personalize the learning experience further.