Embedding Data Storytelling into Learning Analytics Interfaces to Enhance Teachers' Classroom Monitoring

Teacher-facing dashboards are increasingly used in learning analytics (LA) to monitor learning activities. However, teachers often struggle to interpret the data presented via dashboards. This thesis aims to address this problem by using data storytelling (DS) to effectively guide teachers' attention and help them make sense of the data. The thesis aims to explore how DS can be integrated into LA for online classroom monitoring, the extent to which it supports teachers, how teachers with varying VL interact with DS-embedded dashboards, and its impact on teachers' cognitive load. This thesis focuses on improving teacher support in higher education.