Related Experiment Video
Updated: Sep 23, 2025

Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations
Published on: September 16, 2015
Explicit Instruction of Scientific Uncertainty in an Undergraduate Geoscience Field-Based Course
Kathryn M Bateman1, Cristina G Wilson2, Randolph T Williams3
1Department of Psychology, Temple University, 1701 N 13th Street, Philadelphia, PA 19122 USA.
Abstract:
Understanding and communicating uncertainty is a key skill needed in the practice of science. However, there has been little research on the instruction of uncertainty in undergraduate science education. Our team designed a module within an online geoscience field course which focused on explicit instruction around uncertainty and provided students with an uncertainty rating scale to record and communicate their uncertainty with a common language. Students then explored a complex, real-world geological problem about which expert scientists had previously made competing claims through geologic maps. Provided with data, expert uncertainty ratings, and the previous claims, students made new geologic maps of their own and presented arguments about their claims in written form. We analyzed these reports along with assessments of uncertainty. Most students explicitly requested geologists' uncertainty judgments in a post-course assessment when asked why scientists might differ in their conclusions and/or utilized the rating scale unprompted in their written arguments. Through the examination of both pre- and post-course assessments of uncertainty and students' course-based assessments, we argue that explicit instruction around uncertainty can be introduced during undergraduate coursework and could facilitate geoscience novices developing into practicing geoscientists.
More Related Videos
Related Concept Videos
Significant Figures in Calculations
Propagation of Uncertainty from Random Error
Uncertainty in Measurement: Accuracy and Precision
Uncertainty: Overview
Propagation of Uncertainty from Systematic Error
Random and Systematic Errors

