A Pattern Similarity-based User Behavior Analysis System for Scratch
Pai Liu, Yan Sun, Wei Zheng Ren · 2019
Scratch is a visual programming language used by youth and has received widespread attention of education field. Different from the process data in a project, the time series data (TSD) is comprised by the multiple projects of a user from a longer time span, which contributes to the analysis of user behavior patterns and improvement of programming habits. However, there is little work focusing on this field. In this paper, we first design a prototype system collecting and processing TSD from Scratch platform. Then an analysis scheme based on pattern similarity is proposed to obtain user behavior patterns and differences. Additionally, we summarize their common type and characteristics through clustering. Finally, the experimental results demonstrate the feasibility and effectiveness of our claim.