RICHMOND BARU ATING UNIVERSITI TEKNOLOGI MARA (UiTM) CAWANGAN SARAWAK KAMPUS MUKAH
Statistics education often presents significant challenges for students, primarily due to the abstract nature of statistical concepts and the limited availability of guided, personalised learning support outside the traditional classroom environment. To address these pedagogical gaps, STA Boost 2.0 was developed as an advanced, AI-powered, gamified digital learning platform tailored specifically for the Introduction to Statistics course. The primary objective of this innovation is to enhance students' conceptual understanding and engagement by transforming passive studying into an interactive, technology-driven experience. Methodologically, STA Boost 2.0 integrates structured lecture notes, interactive gamified learning activities, and a comprehensive calculator guide featuring integrated QSC+ video tutorials for complex statistical computations. The core innovation of the platform lies in the deployment of STA Buddy, an Artificial Intelligence (AI) conversational learning assistant powered by Google Gemini, which serves as a virtual tutor, providing simplified conceptual explanations, scenario-based questions, and immediate, personalised feedback. The implementation of this platform yields substantial educational benefits, promoting active learning, digital literacy, and enhanced student engagement while directly supporting Sustainable Development Goal 4 (Quality Education) by ensuring accessible, inclusive learning environments. Furthermore, by bridging the gap between theoretical statistics and practical application, the platform cultivates essential analytical skills required in today's data-driven society. In conclusion, STA Boost 2.0 demonstrates immense future potential and strong commercial viability as a scalable, cost-effective educational technology solution. Its modular architecture enables seamless expansion and adaptability across other quantitative disciplines, making it a highly marketable product for academic institutions seeking comprehensive digital tools to elevate quantitative education.