TY - JOUR
T1 - Learning about diffusion at two levels
T2 - 2020 ASEE Virtual Annual Conference, ASEE 2020
AU - Kelter, Jacob
AU - Emery, Jonathan Daniel
AU - Wilensky, Uri
N1 - Funding Information:
This owras kamd pwesibeohltsronerousuugsphfp rhgtooaNeetiormltncSienaecoFution nda (grants CNS-1138461, CNS-1441041, DRL-1020101, DRL-1640201 and DRL-1842374) and thepSnceer Foundation (Award #201600069). Any opinions, findings, or recommendations expressed in this amterial raheteoohsfuaehors ttnad necdessarolyi fl enctrhteoevewtsiof the funding organizations.
Funding Information:
This work was made possible through generous support from the National Science Foundation (grants CNS-1138461, CNS-1441041, DRL-1020101, DRL-1640201 and DRL-1842374) and the Spencer Foundation (Award #201600069). Any opinions, findings, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding organizations.
Publisher Copyright:
© American Society for Engineering Education 2020.
PY - 2020/6/22
Y1 - 2020/6/22
N2 - 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.
AB - 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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M3 - Conference article
AN - SCOPUS:85095747601
SN - 2153-5965
VL - 2020-June
JO - ASEE Annual Conference and Exposition, Conference Proceedings
JF - ASEE Annual Conference and Exposition, Conference Proceedings
M1 - 941
Y2 - 22 June 2020 through 26 June 2020
ER -