Towards a Flexible User Interface for 'Quick and Dirty' Learning Analytics Indicator Design

• URL: http://arxiv.org/abs/2304.01711v1
• Date: Tue, 4 Apr 2023 11:18:11 GMT
• Title: Towards a Flexible User Interface for 'Quick and Dirty' Learning Analytics Indicator Design
• Authors: Shoeb Joarder and Mohamed Amine Chatti and Seyedemarzie Mirhashemi and Qurat Ul Ain
• Abstract summary: There is a need for 'quick and dirty' methods to allow the low-cost design of LA indicators. We propose two approaches to support the flexible design of indicators, namely a task-driven approach and a data-driven approach.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• 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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