Enhancing statistical literacy: Developing and implementing Android-based performance tasks in mathematics

This study addressed knowledge gaps in Statistics and Probability among college students at Nueva Ecija University of Science and Technology by designing, developing, and evaluating an Android-Based Performance Tasks (APT) application. Using the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) instructional design model, the researchers identified the least understood statistical topics and created eight performance tasks covering areas such as hypothesis testing, correlation, and regression. The application was reviewed by mathematics and Information and Communication Technology (ICT) experts for content accuracy and functionality before being implemented with selected students over eight weeks. Qualitative interviews showed that the APTs positively influenced student engagement, teamwork, and the practical application of statistical concepts. While some students initially struggled with solving tasks and navigating the app, they found it engaging, user-friendly, and effective for practical learning. The findings highlight the importance of integrating technology into teaching to support deeper understanding and improve mathematical literacy. The APT application serves as a useful tool to boost student motivation and performance in Statistics and Probability.