Block-based Programming Behavior Modelling with Block Categories Sequences Analytics
Block-based programming languages like Scratch,Alice and Snap are increasingly popular in novice programming education.They allow novices compose program to implement interesting artifacts without struggling with complicated syntax.However,few researches provide insight into how novices do and where they get stuck during programming process.To this end,students programming characteristics and their block category transition from an assignment process are explored in this work.A statistic distribution analysis was first given to investigate which and how many block categories are used in this assignment.Furthermore,we made cluster analysis on the frequency of block category transitions to find the transition pattern.Based on this,the lag sequential analysis were used to contrast and analyze the block category transition pattern among clusters.Our results show that 1)although the system embeds the hint function,not all students are willing to use it,2)the difference of students programming style and challenge can be found from their block category transitions.
block-based programming novice programming learning analytics pattern mining process analyzing
Ming Gao Bo Jiang Wanjian Li
College of Education Science and Technology,Zhejiang University of Technology
国内会议
广州
英文
1003-1010
2018-05-26（万方平台首次上网日期，不代表论文的发表时间）