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Learning About Diffusion at Two Levels: Agent-based Microscale and Equation-based Macroscale
Author(s) -
Jacob Kelter,
Jonathan Emery,
Uri Wilensky
Publication year - 2020
Publication title -
2020 asee virtual annual conference content access proceedings
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--34897
Subject(s) - microscale chemistry , macro , diffusion , computer science , macro level , phenomenon , micro level , connection (principal bundle) , science and engineering , mathematics education , psychology , physics , engineering ethics , engineering , mechanical engineering , economic system , civil engineering , economic impact analysis , economics , thermodynamics , programming language , quantum mechanics
Diffusion is a crucial phenomenon in many fields of science and engineering, and it is known to be difficult for students to learn and understand. Ideally, students should understand (1) the macro-level patterns of concentration change including Fick’s laws which describe these patterns quantitatively, (2) the micro-level random-walk mechanism of diffusing particles, and (3) how these two levels of description are related, i.e. how the macro emerges from the micro. We describe agent-based models (ABMs) of diffusion designed to help students accomplish these learning goals and report the outcomes of implementing them in a university materials science course. The results indicate that the ABM activities helped students understand the micro-level processes of diffusion compared with students from the previous year, but that gaps remained in their understanding of the macro-level patterns of diffusion and the connection between the levels. We conclude with a brief description of our re-designed learning activities to improve outcomes in future years.

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