What does Data Visualization Reveal about Children’s Activities in RoboTutor?

-- Based on Descriptive Data Analysis

Abstract

We are in the era of promising mobile education. However, data analysis based on children's activities is still limited. This article used rural Tanzanian children’s activity log data in site 131 from November 2018 to January 2019 provided by the RoboTutor team and applied the method of Descriptive Data Analysis to roughly analyze children’s activity through data visualization. First, children may be more interested in story and literacy than math activities; second, children generally spend more time on tasks they cannot fully complete; finally, all children spend more than 60% of their time completing activities, usually in the morning or afternoon. Using this result can provide a more intuitive understanding of children’s activity patterns, which can be helpful for researchers to measure children's activity engagement.