Towards a Flexible User Interface for 'Quick and Dirty' Learning Analytics Indicator Design
Shoeb Joarder, Mohamed Amine Chatti, Seyedemarzie Mirhashemi and, Qurat Ul Ain

TL;DR
This paper introduces an improved, user-friendly interface for Indicator Specification Cards (ISC) to facilitate quick, flexible, and reliable design of learning analytics indicators, supporting both task-driven and data-driven approaches.
Contribution
It presents a new ISC user interface that enhances user experience and flexibility in low-cost indicator design, integrating systematic co-design with practical usability.
Findings
Enhanced ISC interface improves user experience.
Supports flexible indicator design with task-driven and data-driven methods.
Facilitates low-cost, reliable LA indicator development.
Abstract
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.
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Taxonomy
TopicsOnline Learning and Analytics · Intelligent Tutoring Systems and Adaptive Learning · E-Learning and Knowledge Management
