SoftLearn: A Process Mining Platform for the Discovery of Learning Paths

被引：20

作者：

Vazquez-Barreiros, Borja ^{[1
]}

Lama, Manuel ^{[1
]}

Mucientes, Manuel ^{[1
]}

Vidal, Juan C. ^{[1
]}

机构：

[1] Univ Santiago de Compostela, Ctr Res Informat Technol CiTIUS, Santiago De Compostela, Spain

来源：

2014 14TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT) | 2014年

关键词：

learning analytics; process mining; learning path discovery;

D O I：

10.1109/ICALT.2014.111

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

One of the most challenging issues in learning analytics is the development of techniques and tools that facilitate the evaluation of the learning activities carried out by learners. In this paper, we faced this issue through a process mining-based platform, called SoftLearn, that is able to discover complete, precise and simple learning paths from event logs. This platform has a graphical interface that allows teachers to better understand the real learning paths undertaken by learners.

引用

页码：373 / 375

页数：3

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