Research on Human-Centered Learning Analytics (HCLA) has provided demonstrations of a successful co-design process for LA tools with different stakeholders. However, there is a need for 'quick and dirty' methods to allow the low-cost design of LA indicators. Recently, Indicator Specification Cards (ISC) have been proposed to help different learning analytics stakeholders co-design indicators in a systematic manner. In this paper, we aim at improving the user experience, flexibility, and reliability of the ISC-based indicator design process. To this end, we present the development details of an intuitive and theoretically-sound ISC user interface that allows the low-cost design of LA indicators. Further, we propose two approaches to support the flexible design of indicators, namely a task-driven approach and a data-driven approach.
翻译：人类中心学习分析（HCLA）的研究已经成功地证明了与不同利益相关者共同设计学习分析工具的协同设计过程。然而，需要“快速简便”的方法来低成本地设计学习分析指标。最近，提出了指标规范卡(ISC)来有系统地协助学习分析利益相关者共同设计指标。本文旨在改进ISC指标设计过程的用户体验，灵活性和可靠性。为此，我们介绍了一个直观且具备理论基础的ISC用户界面的开发细节，该用户界面可以低成本地设计学习分析指标。此外，我们提出了两种方法来支持灵活的指标设计，即基于任务的方法和基于数据的方法。
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