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  • An evaluation of instructional strategies for improving student understanding of the elastic rebound theory of earthquakes with spatial visualization
Title: An evaluation of instructional strategies for improving student understanding of the elastic rebound theory of earthquakes with spatial visualization
Recent studies have identified an incomplete student understanding of how elastic rebound causes earthquakes. We hypothesized that realistic imaging of spatial patterns in ground motions over the course of the earthquake cycle would improve student understanding. Incorporating spatial change information in the form of both motion vectors and before-during-after contrasts should require most students to change an existing mental model or develop a new model. Using a quasi-experimental design, we developed instructional interventions for presenting variations in ground motion, including map views of fence bending and GPS velocity vectors. We measured the impact on student performance based on assignment questions related to the ground motion at different points in the earthquake cycle following several interventions in four undergraduate courses from introductory to upper level over 4 years. The first round of study was a free-response format and then multiple-choice answers were created from the most common answers, including new “worked example” questions inquiring about the reasons answers were correct or incorrect. We identified two key misconceptions based on student answer choices: (a) difficulty in recognizing velocity vector patterns when presented in a new reference frame, and (b) difficulty in reasoning that the fault must be locked for the strain to accumulate and produce an earthquake. Our analysis indicates the largest performance increases occur with simple animations that demonstrate the bending, breaking, and rebending of a fence, along with associated GPS vectors, plotted successively in different reference frames. This suggests difficulties in understanding elastic rebounds can be mitigated when spatial patterns are presented in a context with repeated opportunities to make predictions combined with animations to support mental models that connect the spatial patterns with ground movement.  more » « less
Award ID(s):
2025073
PAR ID:
10561942
Author(s) / Creator(s):
; ;
Publisher / Repository:
Taylor and Francis Group
Date Published:
Journal Name:
Journal of Geoscience Education
ISSN:
1089-9995
Page Range / eLocation ID:
1 to 18
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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