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5/20/2019  |   9:30 AM - 9:45 AM   |  A WORKSHOP MODEL FOR UNDERGRADUATE RESEARCH: DESIGN OF STATISTICS CURRICULUM SUPPORTS   |  150 G

A WORKSHOP MODEL FOR UNDERGRADUATE RESEARCH: DESIGN OF STATISTICS CURRICULUM SUPPORTS

Undergraduate research projects require students to apply skills learned from coursework to real data. However, despite experience from statistics courses, students still struggle to complete an analysis appropriate to a research question. Challenges for students include (1) identifying the appropriate statistical test based on the research question and data characteristics, (2) the steps involved with working through an analysis, and (3) understanding how to read output from the analysis. In research courses serving a broad spectrum of undergraduate research projects, re-teaching a statistics course is impractical. Instead, a “workshop model” that serves separate statistics modules for subsets of students is powerful in efficiently getting students up to speed to complete a research project while still proving a robust framework for students to develop durable knowledge. Discipline-Based Education Research was used to define “statistical literacy” appropriate to senior undergraduates. Workshop materials were designed to build flowcharts to externalize the analysis process and reduce cognitive load (and anxiety), and included toolkits of reference materials along with a R-commander workshop activity with real-data examples. This model, especially visual flowchart elements, can be used for teaching concepts in aquatic ecology.

  • Education
  • Education
  • Education

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Presenters/Authors

Patina Mendez (), University of California, Berkeley, patina.mendez@berkeley.edu;


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