“Make It Personal!” - Gathering Input from Stakeholders for a Learning Analytics-Supported Learning Design Tool

Abstract

Teachers design learning activities purposefully to improve student learning. However, the impact of this is usually only evaluated after a course has ended by making use of self-reported data and assessment results. Learning analytics offers the opportunity to collect, analyse and visualise feedback on activities using authentic data in real-time. Incorporating learning analytics into the learning design makes just-in-time interventions attainable. This paper presents the first steps of the development of a Learning Analytics for Learning Design (LA4LD) tool that is co-created with students and teachers, using a design-based research methodology. Both teachers and students express the need to personalise feedback on learning activities in order to increase the quality of the learning process and want that embedded in the tool.