A COMPARATIVE ANALYSIS OF APPROACHES TO DESIGN AND CAPITALIZE DATA INDICATORS

Albane Gril, M. May, Valérie Renault, S. George
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引用次数: 1

Abstract

In Technology Enhanced Learning field, learning analytics cover multiple research challenges, among which tracking data analysis and data indicator design and visualization. Part of our research effort is dedicated to changing their design process, in order to capitalize them. This would allow us to meet a need in cost savings of design workflow and to encourage the adoption by users throughout their implications in a simplified design process. A study of the state of the art has been made to explore various solutions which could be exploited in the capitalization of indicators on both levels, design and implementation. It sets a direction toward a user-centered approach, aiming at a better control of users over their observation needs and the use of their data.
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数据指标设计和资本化方法的比较分析
在 "技术强化学习"(Technology Enhanced Learning)领域,学习分析涉及多个研究难题,其中包括跟踪数据分析、数据指标设计和可视化。我们的部分研究工作致力于改变这些指标的设计流程,以充分利用这些指标。这将使我们能够满足节约设计工作流程成本的需要,并鼓励用户在简化设计流程的整个过程中采用这些方法。我们对最新技术进行了研究,以探索在设计和实施两个层面上利用指标的各种解决方案。它为以用户为中心的方法确定了方向,目的是让用户更好地控制其观察需求和数据的使用。
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