Measures of Effectiveness (MoEs) for MarineNet: A Case Study for a Smart e-Learning Organization

International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management Pub Date : 2019-09-17 DOI:10.5220/0008480701460156

Ying Zhao, T. Kendall, Riqui Schwamm

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Abstract

MarineNet is an US Marine Corps system that provides one-stop shop and 24/7 access to thousands of online courses, videos, and educational materials for the whole Marine Corps. The need for the e-learning organization is to identify the significant capabilities and measures of effectiveness (MoEs) for appropriate e-learning, and then design and identify how to collect and analyze the big data to achieve an effective integration of analytic within the MarineNet learning ecosystem. We show this as a use case and the sample data of the MarineNet CDET website on how to design MoEs that can guide how to collect big data, analyze and learn from users’ behavior data such as clickstreams to optimize all stakeholders’ interests and results for a typical e-organization. We also show the processes and deep analytics for exploratory and predictive analysis. The framework helps e-organization determine where investment is best spent to create the biggest impact for performance results.

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MarineNet的有效性度量(MoEs):一个智能电子学习组织的案例研究

MarineNet是美国海军陆战队的一个系统，为整个海军陆战队提供一站式服务和全天候访问数千个在线课程、视频和教育材料。电子学习组织的需求是确定适当的电子学习的重要能力和有效性度量(MoEs)，然后设计和确定如何收集和分析大数据，以实现在MarineNet学习生态系统中的有效集成。我们将此作为一个用例和MarineNet CDET网站的样本数据来展示如何设计moe，这些moe可以指导如何收集大数据，分析和学习用户行为数据(如点击流)，以优化典型电子组织的所有利益相关者的利益和结果。我们还展示了探索性和预测性分析的过程和深度分析。该框架帮助电子组织确定在哪些地方投资最合适，从而对绩效结果产生最大的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management

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