A Study on Analyzing Learner Behaviors in State Machine Modeling Using Process Mining and Statistical Test
A Study on Analyzing Learner Behaviors in State Machine Modeling Using Process Mining and Statistical Test
复制标题
使用过程挖掘和统计测试分析状态机建模中学习者行为的研究
DOI：
10.1007/978-3-031-17583-1_11
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
Takeuchi Hironori
中科院分区：
文献类型：
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作者：
Ogata Shinpei;Nakagawa Hiroyuki;Kaiya Haruhiko;Takeuchi Hironori
本研究的最终目标是建立一个轻量级的方法来检测不完全理解状态机建模的学习者。作为这项研究的第一步，本文报告的结果分析的行为的学习者谁失败的建模和比较的差异与学习者谁成功的建模。在这项研究中，过程挖掘技术被用来分析学习者的行为，并使用统计检验方法来确认显着差异的频率的过程事件和过渡的比较。结果表明，学习者在建模失败倾向于描述状态和过渡交替。
The final goal of this study is to establish a lightweight method for detecting learners who do not fully understand state machine modeling. As an initial step in this research, this paper reports the results of an analysis of the behavior of learners who fail at modeling and a comparison of the differences with learners who succeed in modeling. In this study, a process mining technique was used to analyze learner behaviors, and a statistical testing method was used to confirm significant differences in the frequency of process events and transitions in the comparison. The results showed that learners who failed in modeling tended to describe states and transitions alternately.