Using a Hybrid of Student-Sourced Data and Web-Based Data for an Undergraduate Earth System Science Course

Abstract:

In an undergraduate Earth System Science (ESS) course, students learn about the processes in which material and energy move between the different earth spheres. It is critical that quantitative analysis be part of the class in order to have students understand rates and magnitudes of these processes. It is even better if the students generate the data and research questions. At Ithaca College, ESS is a requirement for all Environmental Science majors and is their introduction into earth science. The majority of the lab periods for the class are devoted to research-based exercises in which students are asked to generate research questions and working hypotheses prior to data gathering. Several exercises use a hybrid of student-generated data and information available from on-line sources such as NOAA and USGS. For example, student groups gather water data from four water bodies on the campus over the course of the semester (e.g., temperature, pH, turbidity, conductivity) while at the same time accessing NOAA climatic data from a nearby weather station. The advantages of this approach include student ownership (and responsibility) and rich, diverse datasets that can be used to answer a variety of questions. Disadvantages include the inability of the instructor to fully anticipate the results, which can make planning difficult. In addition, considerable time is required to have students wade through the data, make mistakes, and then correct the mistakes. Nevertheless, the overall approach results in a richer and more effective learning experience compared to lab exercises that use data sets provided by the instructor.