Introducing Computer-Age Statistical Methodologies Through Interactive Web Apps: Experimental Evidence From a Filipino Classroom

level abstractions which students below the graduate level may struggle to grasp. Following successful implementations of teaching complex statistics through interactive applications, we develop one for motivating and exploring the popular K-Means Clustering Algorithm. This paper presents the results of an experiment in a Philippine secondary school classroom. Comparing between-group improvements in their performance on a short test reveals only weak evidence that an interactive approach might work better than a static one. However, within-group performance shows student understood the assigned topic significantly better after using the web-app. Feedback collected from the students also show that students found the interactive version more helpful than a standard module with static visuals.