学习管理系统中流程挖掘的系统文献综述

Fatharani Wafda, T. Usagawa, ER Mahendrawathi
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引用次数: 4

摘要

在工业4.0时代,信息系统记录了大量的事件日志。过程挖掘技术可以根据事件日志中记录的实际学习者的活动来评估学习管理系统(LMS)的使用情况。类似的系统综述研究强调了PM在LMS数据集中的使用以及未来研究的基本问题。我们研究的动机是没有文献综述考虑过程挖掘在学习过程设计中的应用。本文旨在介绍项目管理在LMS中的应用与学习设计与实际执行之间的偏差。本文献研究根据标准和质量评估,从2017年至2021年发表的52篇文章中选取20篇。根据研究目标、项目管理技术和使用的工具对这些文章进行了分析。结果表明,学生行为与学习设计与实际执行的偏差有很大关系。研究学生行为有三个视角:学生行为比较、基于学生行为的成绩预测和学习策略评价。这篇结构化的文献综述可以帮助LMS学习设计者改进学习设计以适应学生的行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systematic Literature Review on Process Mining in Learning Management System
In the era of Industry 4.0, information systems record a huge amount of event logs. Process Mining (PM) techniques can evaluate a Learning Management System (LMS) usage based on actual learner’s activity as recorded in the event logs. Similar systematic review research has highlighted the use of PM in LMS datasets and essential issues for future research. Our research is motivated by the fact that no literature reviews consider the process mining application in the learning process design. This paper aims to present the use of PM in LMS related to the deviation between learning design and actual execution. This literature study selects 20 out of 52 published articles from 2017 until 2021 based on the criteria and quality assessment. These articles were analyzed based on the research objectives, PM technique, and the tools used. The results show that student behavior is heavily related to the deviation between learning design and actual execution. Three perspectives are found in approaching student behavior: comparison of student behavior, performance prediction based on student behavior, and learning strategy evaluation. This structured literature review may help LMS learning designers improve learning design to suit student behavior.
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