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Data-driven visualization schema of a materials informatics curriculum: Convergence of materials science and information science

Published online by Cambridge University Press:  27 January 2020

Erik Einarsson
Affiliation:
Department of Materials Design and Innovation, The University at Buffalo, Buffalo, NY, USA
Olga Wodo
Affiliation:
Department of Materials Design and Innovation, The University at Buffalo, Buffalo, NY, USA
Prathima C. Nalam
Affiliation:
Department of Materials Design and Innovation, The University at Buffalo, Buffalo, NY, USA
Scott R. Broderick
Affiliation:
Department of Materials Design and Innovation, The University at Buffalo, Buffalo, NY, USA
Kristofer G. Reyes
Affiliation:
Department of Materials Design and Innovation, The University at Buffalo, Buffalo, NY, USA
E. Bruce Pitman
Affiliation:
Department of Materials Design and Innovation, The University at Buffalo, Buffalo, NY, USA
Krishna Rajan*
Affiliation:
Department of Materials Design and Innovation, The University at Buffalo, Buffalo, NY, USA
*
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Abstract

In addition to student assessment, curriculum assessment is a critical element to any pedagogy. It helps the educator assess the teaching of concepts, determine what may be lacking, and make changes for continual improvement. Meaningful assessment can be complicated when disciplines converge or when new approaches are implemented. To facilitate this, we present a network-based visualization schema to represent a materials informatics curriculum that combines materials science and data science concepts. We analyze the curriculum using network representations and relevant concepts from graph theory. This reveals established connections, linkages between materials science and data science, and the extent to which different concepts are connected. We also describe how some materials science topics are introduced from a data perspective, and present an illustrative case study from the curriculum.

Type
Articles
Copyright
Copyright © Materials Research Society 2020

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