Abstract Details
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Activity Number:
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197
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Type:
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Roundtables
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Date/Time:
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Monday, August 4, 2014 : 12:30 PM to 1:50 PM
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Sponsor:
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Section on Bayesian Statistical Science
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Abstract #313393
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Title:
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Bayes-Inspired Experiential Learning: Critical Thinking with Interactive Data Visualization
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Author(s):
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Leanna House*+ and Scotland Leman
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Companies:
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Virginia Tech and Virginia Tech
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Keywords:
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Bayesian ;
Education ;
Data Analytics ;
Human Computer Interaction ;
Visualization ;
Multidimensional Scaling
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Abstract:
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Human computer interaction offers a way for students to discover structure in data via visualizations and problem solve. Underlying these visualizations are often complex mathematical methods worth teaching. Thus, we introduce/discuss lessons plans that rely on interactive software we developed so students form a relationship with both the data and an analytical method. Using Bayesian principles, students learn from the summaries provided by the models and the models change in response to visual feedback offered by the students.
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Authors who are presenting talks have a * after their name.
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