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Political science education, specifically the "Malaysian Politics" (PAD270) course at University Technology MARA Kelantan, faces challenges due to the complex nature of Comparative Politics Language and a lack of integrated digital resources. Students often struggle with historical contextual gaps and technical "port" conflicts when using fragmented social media platforms for learning. To address these pedagogical and technical hurdles, this study developed "Politicbox," a centralized technological innovation designed to streamline the learning experience. The development of Politicbox was grounded in the ADDIE Model consist of Analysis, Design, Development, Implementation, and Evaluation to ensure high pedagogical standards. Furthermore, the system utilized Self-Instructed Material architecture, which emphasizes content that is self-explanatory, self-contained, self-directed, and self-evaluating. The objective was to diagnose the root causes of student underperformance in PAD270 and develop an effective digital intervention to enhance conceptual understanding and academic performance. This study employed a Rapid Application Development framework for system execution. A quantitative needs analysis was conducted with 100 students to identify functional requirements. Evaluation included Pearson correlation analysis, Mean tests, and Linear Regression to measure the impact of the innovation. Findings revealed a drastic improvement across all learning dimensions. Regression analysis showed that post-intervention, the model’s explanatory power for learning quality increased primarily driven by user satisfaction and psychomotor skills. Future research should focus on expanding the Politicbox framework to other complex political science modules and integrating advanced diagnostic tools to further personalize the learning trajectory.

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