Examining Diffusion Networks and Identifying Opinion Leaders: A Case Study of the AIChE Concept Warehouse

Debra M. Gilbuena; Christina Smith; Bill Jay Brooks; Milo Koretsky

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Conference: 2014 ASEE Annual Conference & Exposition
Location: Indianapolis, Indiana
Publication Date: June 15, 2014
Start Date: June 15, 2014
End Date: June 18, 2014
ISSN: 2153-5965
Conference Session: Curriculum Development and Assessment in Chemical Engineering
Tagged Division: Chemical Engineering
Page Count: 15
Page Numbers: 24.556.1 - 24.556.15
DOI: 10.18260/1-2--20447
Permanent URL: https://peer.asee.org/20447
Download Count: 528

Paper Authors

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Debra M. Gilbuena Oregon State University

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Debra Gilbuena is a postdoctoral scholar in the School of Chemical, Biological, and Environmental Engineering at Oregon State University. Debra has an M.BA, an M.S, and four years of industrial experience including a position in sensor development. Sensor development is also an area in which she holds a patent. She currently has research focused on student learning in virtual laboratories and the diffusion of educational interventions and practices.

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Christina Smith Oregon State University

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Christina Smith is a graduate student in the School of Chemical, Biological, and Environmental Engineering at Oregon State University. She received her B.S. from the University of Utah in chemical engineering and is pursuing her PhD also in chemical engineering with an emphasis on engineering education. Her research interests include diffusion of innovations and student personal epistemology.

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Bill Jay Brooks Oregon State University

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Bill Brooks is a postdoctoral scholar in the School of Chemical, Biological, and Environmental Engineering at Oregon State University. His Ph.D used written explanations to concept questions to investigate technology mediated active learning in the undergraduate chemical engineering classroom. He current interests involve using technology to enhance educational practices in promoting conceptual understanding. He is the primary programmer of the AIChE Concept Warehouse and his current focus is on its continued development, specifically creating and integrating Interactive Virtual Labs.

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Milo Koretsky Oregon State University

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Milo Koretsky is a Professor of Chemical Engineering at Oregon State University. He received his B.S. and M.S. degrees from UC San Diego and his Ph.D. from UC Berkeley, all in Chemical Engineering. He currently has research activity in areas related engineering education and is interested in integrating technology into effective educational practices and in promoting the use of higher-level cognitive skills in engineering problem solving. His research interests particularly focus on what prevents students from being able to integrate and extend the knowledge developed in specific courses in the core curriculum to the more complex, authentic problems and projects they face as professionals. Dr. Koretsky is one of the founding members of the Center for Lifelong STEM Education Research at OSU.

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Abstract

Examining Diffusion Networks and Identifying Opinion Leaders: A Case Study of the AIChE Concept WarehousePropagation is a widespread goal of educational innovations. If an innovation is effective in oneenvironment, developers usually desire to share it with other instructors and institutions to have alarger impact and improve education more broadly. Additionally, funding agencies like theNational Science Foundation require a “broader impact” component in all grant proposals. Oneaspect commonly missing when an innovation is shared is a reflective, evidence-baseddescription of the process as the innovation moves from the home institution to other institutionswith different faculty, different students and a different culture. In analogy to moleculardiffusion, E.M. Rogers put forth a theory, Diffusion of Innovations, that offers one frameworkwith which to examine this process. In this context, Rogers describes diffusion as “the process inwhich an innovation is communicated through certain channels over time among the members ofa social system.”We report on the first two years of propagation of the AIChE Concept Warehouse, a cyber-enabled website to support the chemical engineering education community’s use of conceptuallearning. It contains large sets of concept-based clicker questions (or ConcepTests) and ConceptInventories for core chemical engineering classes. We focus on diffusion networks, particularlyopinion leaders who play a key role in the innovation’s propagation. Our purpose is to highlightaspects of diffusion that other innovators may want to consider, provide an example of how theseaspects can be examined in the early stages of an innovation’s life, and learn how we can furthersupport propagation of this innovation. We ask the following research questions: Through whichdiffusion networks has the Concept Warehouse been propagated? Who are the opinion leadersinfluencing its propagation? Why have these opinion leaders supported this tool and how can wefurther support them?AIChE Concept Warehouse instructor applicants (n>300) were asked, “How did you hear aboutus?” Network analysis was performed using sociograms representing different points in time asvisual representations of the network connections and how they changed. Further analysis of themost recent sociogram was used to identify instructors who referred this tool to four or moreother users. These instructors are termed opinion leaders and were invited to participate furtherin the study as interviewees. In the semi-structured interviews, we asked opinion leaders abouttheir perceptions and use of the AIChE Concept Warehouse. We also asked them to identify howthey promoted propagation of the tool and how the tool affords or constrains their propagationefforts. Interviews were transcribed and an emergent coding process was used to identify themes.Different groups of apparent opinion leaders included researchers with complementary tools,individuals in powerful positions in different parts of the social system (e.g. leaders of virtualcommunities of practice), and instructors that heavily use the tool themselves. For example,many of the opinion leaders have incorporated their own innovations into the AIChE ConceptWarehouse. They support and promote the tool because it facilitates propagation of theirinnovations and provides a convenient data collection method.

Citation
Format

Gilbuena, D. M., & Smith, C., & Brooks, B. J., & Koretsky, M. (2014, June), Examining Diffusion Networks and Identifying Opinion Leaders: A Case Study of the AIChE Concept Warehouse Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. 10.18260/1-2--20447

TY - CPAPER
AB - Examining Diffusion Networks and Identifying Opinion Leaders: A Case Study of the AIChE Concept WarehousePropagation is a widespread goal of educational innovations. If an innovation is effective in oneenvironment, developers usually desire to share it with other instructors and institutions to have alarger impact and improve education more broadly. Additionally, funding agencies like theNational Science Foundation require a “broader impact” component in all grant proposals. Oneaspect commonly missing when an innovation is shared is a reflective, evidence-baseddescription of the process as the innovation moves from the home institution to other institutionswith different faculty, different students and a different culture. In analogy to moleculardiffusion, E.M. Rogers put forth a theory, Diffusion of Innovations, that offers one frameworkwith which to examine this process. In this context, Rogers describes diffusion as “the process inwhich an innovation is communicated through certain channels over time among the members ofa social system.”We report on the first two years of propagation of the AIChE Concept Warehouse, a cyber-enabled website to support the chemical engineering education community’s use of conceptuallearning. It contains large sets of concept-based clicker questions (or ConcepTests) and ConceptInventories for core chemical engineering classes. We focus on diffusion networks, particularlyopinion leaders who play a key role in the innovation’s propagation. Our purpose is to highlightaspects of diffusion that other innovators may want to consider, provide an example of how theseaspects can be examined in the early stages of an innovation’s life, and learn how we can furthersupport propagation of this innovation. We ask the following research questions: Through whichdiffusion networks has the Concept Warehouse been propagated? Who are the opinion leadersinfluencing its propagation? Why have these opinion leaders supported this tool and how can wefurther support them?AIChE Concept Warehouse instructor applicants (n&gt;300) were asked, “How did you hear aboutus?” Network analysis was performed using sociograms representing different points in time asvisual representations of the network connections and how they changed. Further analysis of themost recent sociogram was used to identify instructors who referred this tool to four or moreother users. These instructors are termed opinion leaders and were invited to participate furtherin the study as interviewees. In the semi-structured interviews, we asked opinion leaders abouttheir perceptions and use of the AIChE Concept Warehouse. We also asked them to identify howthey promoted propagation of the tool and how the tool affords or constrains their propagationefforts. Interviews were transcribed and an emergent coding process was used to identify themes.Different groups of apparent opinion leaders included researchers with complementary tools,individuals in powerful positions in different parts of the social system (e.g. leaders of virtualcommunities of practice), and instructors that heavily use the tool themselves. For example,many of the opinion leaders have incorporated their own innovations into the AIChE ConceptWarehouse. They support and promote the tool because it facilitates propagation of theirinnovations and provides a convenient data collection method.
AU - Debra M. Gilbuena
AU - Christina Smith
AU - Bill Jay Brooks
AU - Milo Koretsky
CY - Indianapolis, Indiana
DA - 2014/06/15
PB - ASEE Conferences
TI - Examining Diffusion Networks and Identifying Opinion Leaders: A Case Study of the AIChE Concept Warehouse
UR - https://peer.asee.org/20447
DO - 10.18260/1-2--20447
ER -