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Educational Process Mining: A Systematic Literature Review

机译:教育过程挖掘:系统文献综述

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Process mining (PM) is an emerging research discipline that is concerned with obtaining fact-based insights on how business processes are executed within an organization. It combines model-based and data-oriented analysis techniques to discover, monitor and improve executed processes by extracting knowledge from event logs generated and stored in information systems. When process mining techniques are applied to educational data, they are often referred to as Educational Process Mining (EPM), and in different case studies EPM results were promising. This paper presents a systematic review of the current status of research in this important area. We examined the literature on research with associated case studies conducted in the domain during the past eight years (2009-2016). Search terms identified 59 papers, but inclusion and exclusion criteria limited the key studies to 37. The research questions, methodologies and findings of these published papers were analysed carefully. This paper aims to highlight the use of process mining to improve educational processes, and to provide researchers with a comprehensive background for understanding the current work being undertaken in this field.
机译:流程挖掘(PM)是一门新兴的研究学科,它与获取有关组织内部业务流程执行方式的基于事实的见解有关。它结合了基于模型和面向数据的分析技术,通过从信息系统中生成和存储的事件日志中提取知识来发现,监视和改进执行过程。将过程挖掘技术应用于教育数据时,通常将它们称为“教育过程挖掘(EPM)”,在不同的案例研究中,EPM的结果很有希望。本文对这一重要领域的研究现状进行了系统综述。我们审查了过去八年(2009-2016年)在该领域进行的相关案例研究的研究文献。搜索词可识别59篇论文,但纳入和排除标准将关键研究限制在37篇。对这些已发表论文的研究问题,方法和发现进行了仔细分析。本文旨在突出使用过程挖掘来改进教育过程,并为研究人员提供全面的背景知识,以了解该领域目前正在进行的工作。

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