Soil Science Research: From Data Analysis to Presentation

In this assignment, students analyzed soil science data using R, created presentations, and delivered their findings in a conference-style setting.

Authors: Sarick Matzen, Postdoctoral Associate and Céline Pallud, Associate Professor in Environmental Science, Policy, and Management

Course Number & Title: Sustainable Soils Research Incubator

Grant Type: Berkeley Collegium Grant Program

This work is licensed under CC BY-NC-SA 4.0

Details
Assignment Title	Soil Science Research: From Data Analysis to Presentation
Delivery Format	In-person
High Impact Practices (HIPs) Categories (Review definitions for each category.)	Collaborative Assignments and Projects Diversity and Global Learning Courses Undergraduate Research
Learning Objectives	Use R to visualize data Use R to conduct basic statistical analyses Create a presentation Deliver a presentation Give constructive feedback on presentations and integrate feedback into one’s own presentation
Brief Summary of Assignment	Provided with a soil science study background, data, and model R code, students work in small groups to use R to analyze data and visualize data, create presentations sharing the results, practice presentations in groups, and finally deliver presentations in a conference-style setting.
Innovative Teaching Reflection	Students gain experience making and sharing meaning of real-world data and working through multiple stages of the scientific process.
Assignment Length	3 weeks
Impact & Feedback	We found that this project greatly increased students’ comfort with interpreting and presenting results. The R script is designed to be accessible to novice R users. The R portion of the project is best done in an in-class group setting to allow for supportive problem solving. The presentation practice session is an important opportunity for students to give and receive feedback and should not be skipped.

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