Enabling Open Source, Open Data for Closed Source, Closed Data Learning Management Systems

P. Seeling
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Abstract

Learning analytics has attracted significant interest for research as well as implementation in education systems. Similar to other analytical approaches to improve underlying processes, the availability of raw data (open-data) of the learning process is paramount. Despite several open-sourced Learning Management System (LMS) solutions that enable an open access to data for learning analytics by/for stakeholders, commercially provided solutions prevalent in the education system in the U.S. are typically closed-source and closed-data. In this contribution, we provide an approach to enable open-sourced, open-data research and implementations within the confined environments of commercial closed-source, closed-data LMS implementations.
启用开放源码,封闭源码的开放数据,封闭数据学习管理系统
学习分析已经引起了人们对研究和教育系统实施的极大兴趣。与其他改进底层过程的分析方法类似,学习过程的原始数据(开放数据)的可用性是至关重要的。尽管有一些开源的学习管理系统(LMS)解决方案可以为利益相关者提供对学习分析数据的开放访问,但在美国教育系统中普遍存在的商业提供的解决方案通常是闭源和闭数据的。在本文中,我们提供了一种在商业闭源、闭数据LMS实现的受限环境中实现开源、开放数据研究和实现的方法。
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