Optimizing Student Performance with Learning Environment Modeling and Insight Reports
Tired of your data not being used? We can help.
There are three key components to this session: environment modeling, analysis, and communication. We are going to focus heavily on integrating different sources of data and organizing and presenting it in a meaningful and inclusive way, even for people who don't understand data. By emphasizing aesthetics and language, good data will get into the hands of people making decisions. Formal Abstract: In this hands-on workshop, participants will explore Learning Environment Modeling™ (LEM); and gather, analyze, and report data in a meaningful way. Learning Environment Modeling is a way of visually representing a learning environment so it may be shared and easily understood regardless of area of expertise. Additionally, quantitative and qualitative data is gathered from students, faculty, and university systems, followed by analysis in order identify where and how students may not be successful and can improve. Participants will be able to build LEM patterns, and generate, analyze, and present information to support data-informed decisions. |
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The commonality between science and art is in trying to see profoundly - to develop strategies of seeing and showing.
-Edward Tufte
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