Advisor: Dr. June Ahn
Toolbox: R, Python, Dedoose, Excel, Figma, InVision
A partnership between UC Irvine, UC Riverside, University of Washington, Vanderbilt University, & Stanford University
Edsight is a visual analytics platform designed to spur new insight, learning, and decision-making for teachers, instructional coaches and researchers who are involved in instructional improvement efforts.
The challenges posed to the design team include:
To tackle these challenges, our team took a co-design approach, where we involved partner educators and researchers in ideating, field observations, and feedback sessions to iteratively refine the designs. This co-design effort has been ongoing since 2017.
• Design the user experience for the data visualization platform using learning analytics.
• Collaborate with stakeholders (teachers, instructional coaches, and school administrators) in school districts across the U.S. to define research questions, conduct studies, and develop designs.
• Conduct interviews, usability testing, co-design sessions, user journey mapping, and field studies, to understand user experiences and ways to facilitate data interpretations and use in K-12 schools.Figure: The practical measures we developed to capture student engagement in Mathematics classroom.
Over two years of conducting cognitive interviews with teachers and instructional coaches, we observed that when presented with classroom data about student engagement, teachers tended to recall instructional moves and attribute causes, but rarely demonstrated actionable insight (Campos et al., under review).
We saw an opportunity to enrich teachers' experience with Edsight, to develop more actionable conjectures about learning and teaching, when our partners came to us with a request for a new measure: to capture student experience at the Launch of a Math instructional task.
We built from partners' insights that different from the other practical measures focusing on group or whole-class representation, this new task should also feature individual perspective.
I proposed a new experience for teachers to view student data. The new features are shifts (1) from aggregate to individual view, and (2) from static to dynamic representations. This experience has three main benefits: