基于MOODLE事件日志数据的在线学习活动过程挖掘应用开发中Alpha Miner算法的实现

Phyllalintang Nafasa, I. Waspada, N. Bahtiar, A. Wibowo
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引用次数: 8

摘要

Moodle是目前在教育领域应用最为广泛的学习管理系统之一。Moodle将所有在线学习活动以事件日志的形式存储到数据库中。这些事件日志可用于通过过程分析来提高学习质量。流程挖掘是基于事件日志发现流程模型的科学领域之一。当讲师愿意使用Moodle事件日志数据进行流程挖掘活动时,问题就出现了。作为继续使用Process Mining算法的先决条件,需要对Moodle事件日志数据进行一些预处理。作为解决方案,Moodle需要与流程挖掘集成。在本研究中,开发了一个应用程序,将Moodle事件日志数据与过程挖掘的活动相结合,特别方便了预处理工具。本文采用alpha miner算法作为过程模型发现算法。因此,我们成功开发了从Moodle日志事件数据中发现流程模型的应用程序。讲师可以使用应用程序的一些功能特性来满足他们在过程挖掘分析中的需求。使用真实和人工案例研究进行了实验,并证明了alpha miner算法的实现可以在Moodle事件日志数据上正确工作。
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Implementation of Alpha Miner Algorithm in Process Mining Application Development for Online Learning Activities Based on MOODLE Event Log Data
Moodle is one of the widely used Learning Management Systems in the field of education. Moodle stores all online learning activities to the database in the form of event log. These event logs can be used to improve the quality of learning through process analysis. One of the fields of science that can be used to discover the process model based on event log is Process Mining. The problem arise when an instructor willing to use the Moodle event log data to do a Process Mining activities. There are some preprocessing issues need to be done to the Moodle event log data as prerequisite to continue with Process Mining algorithm. As the solution, Moodle need to be integrated with the Process Mining. In this study an application was developed to integrate the Moodle event log data with the activities of Process Mining, especially to facilitate the preprocessing tools. The alpha miner algorithm was used here as the process model discovery algorithm. As the result, we successfully develop the application to discover process model from Moodle log event data. Instructors can use some functional features of the application to meet their need in process mining analysis. Experiments using real and artificial case studies have been conducted and it is proven that the implementation of the alpha miner algorithm can work correctly on the Moodle event log data.
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