Poster #36 - Developing Preservice Teachers' Conceptualization of Models and Simulations Through Group-Based Cloud Computing

• In Event: 18.060 - MTCC Poster Session Two
  In Poster Session: 18.060-5 - Advanced Technologies for Learning Poster Session

Abstract

In this exploratory study, preservice teachers use Group-based Cloud Computing (GbCC) to engage in simulations about the reintroduction of wolves to Yellowstone. Participants developed concept maps and defined models and simulations before and after using GbCC. Findings include that through the intervention, participants moved from linear representations of concept maps towards more complex system-based representations. Although participants were able to articulate changes that they would like to make to the agent-based model, their limited programming knowledge was a barrier that prevented participants from implementing changes. In addition, misconceptions were uncovered regarding participants' definitions and uses for models and simulations. This research better informs how authorable agent-based models can help preservice teachers develop a deeper conceptual understanding of non-linear complex systems.

Authors

• Anthony Petrosino, The University of Texas at Austin

• Maximilian Sherard, The University of Texas at Austin

• Jason Harron, The University of Texas at Austin

• Corey Brady, Vanderbilt University

• Walter M. Stroup, University of Massachusetts Dartmouth

• Uri J. Wilensky, Northwestern University