Learning Dashboards: How Data Accuracy, Context, and Trust Impact Student Sensemaking and Learning Behaviors

• In Event: 53.045 - Practices That Facilitate and Help Assess Learning

Abstract

An instrumental case study was conducted at a large, public research university to understand undergraduate use of learning dashboards. Forty undergraduate students participated in focus groups and observations. Scenario-based questions, modeled on current learning analytics-informed dashboards, were asked to understand student uses, perceptions and reactions to dashboard data visualizations and associated interventions. Preliminary results indicate that students value accurate and integrated data, as important for their self-assessment; require context, in addition to visualization, as a means for better sensemaking of data; and consider trust with faculty as core to their interest and use of dashboards and their data.

Authors

• Carrie Klein, George Mason University

• Jaime R. Lester, George Mason University

• Huzefa Rangwala, George Mason University

• Aditya Johri, George Mason University