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Work In Progress: Considering the Impact on Research Quality of a Team Approach to Phenomenography

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Conference

2019 ASEE Annual Conference & Exposition

Location

Tampa, Florida

Publication Date

June 15, 2019

Start Date

June 15, 2019

End Date

June 19, 2019

Conference Session

ERM Technical Session 1: Methods Refresh: Approaches to Data Analysis in Engineering Education Research

Tagged Division

Educational Research and Methods

Page Count

7

DOI

10.18260/1-2--33601

Permanent URL

https://peer.asee.org/33601

Download Count

331

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Paper Authors

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Nicholas D. Fila Iowa State University

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Nicholas D. Fila is a postdoctoral research associate in Electrical and Computer Engineering and Industrial Design at Iowa State University. He earned a B.S. in Electrical Engineering and a M.S. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign and a Ph.D. in Engineering Education from Purdue University. His current research interests include innovation, empathy, engineering design, instructional design heuristics.

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Carla B. Zoltowski Purdue University, West Lafayette

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Carla B. Zoltowski is an assistant professor of engineering practice in the Schools of Electrical and Computer Engineering and (by courtesy) Engineering Education and Director of the Vertically Integrated Projects (VIP) Program at Purdue University. She holds a B.S.E.E., M.S.E.E., and Ph.D. in Engineering Education, all from Purdue. Prior to this she was Co-Director of the EPICS Program at Purdue where she was responsible for developing curriculum and assessment tools and overseeing the research efforts within EPICS. Her research interests include the professional formation of engineers, diversity, inclusion, and equity in engineering, human-centered design, engineering ethics, and leadership.

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Justin L. Hess Indiana University Purdue University, Indianapolis Orcid 16x16 orcid.org/0000-0002-1210-9535

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Dr. Justin L Hess is the Assistant Director of the STEM Education Innovation and Research Institute and an Adjunct Assistant Professor of STEM Education Research in the Department of Technology Leadership and Communication at IUPUI. Dr. Hess’s research interests include exploring empathy’s functional role in engineering and design; designing STEM ethics curricula; and evaluating learning in the spaces of design, ethics, and sustainability. Previously, Justin worked as a Postdoctoral Researcher in the Weldon School of Biomedical Engineering at Purdue University where he created and refined ethical theory and learning modules to improve engineering students' ethical reasoning skills and dispositions. Justin received all of his degrees from Purdue University, including his PhD in Engineering Education, Master of Science in Civil Engineering, and Bachelor of Science in Civil Engineering. Justin is the Program Chair-Elect of the American Society for Engineering Education's Liberal Education/Engineering & Society Division and the vice chair of the American Society of Civil Engineers' Committee on Sustainability subcommittee on Formal Engineering Education.

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Dayoung Kim Purdue University, West Lafayette

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Dayoung Kim is a Ph.D. student in the School of Engineering Education at Purdue University. Her current research interest includes engineering ethics, curriculum development for socially-responsible engineers, and cultural studies for engineers in a global context. She earned her B.S. degree in Chemical Engineering at Yonsei University, South Korea in 2017.

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Alison J. Kerr University of Tulsa

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Alison Kerr is a graduate student at The University of Tulsa. She is pursuing a doctoral degree in Industrial-Organizational Psychology. Her research interests include training development and evaluation as explored across a variety of academic disciplines and organizational settings. She is currently assisting on a number of training projects aimed at developing engineering students on relevant non-technical professional skills including ethical practice and presentation.

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Andrew O. Brightman Purdue University, West Lafayette

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Andrew O. Brightman serves as Assistant Head for Academic Affairs and Associate Professor of Engineering Practice in the Weldon School of Biomedical Engineering. His research background is in cellular biochemistry, tissue engineering, and engineering ethics. He is committed to developing effective pedagogies for ethical reasoning and engineering design and for increasing the diversity and inclusion of engineering education.

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Michael C. Loui Purdue University, West Lafayette

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Michael C. Loui is the Dale and Suzi Gallagher Professor of Engineering Education at Purdue University. He was previously Professor of Electrical and Computer Engineering and University Distinguished Teacher-Scholar at the University of Illinois at Urbana-Champaign. He has published articles in computational complexity theory, in professional ethics, and in engineering education research. He currently serves on the Advisory Group for the Online Ethics Center at the National Academy of Engineering. He is a Carnegie Scholar, a Fellow of the IEEE, and a Fellow of the American Society for Engineering Education. Professor Loui was the editor of the Journal of Engineering Education from 2012 to 2017 and the executive editor of College Teaching from 2006 to 2012. He was Associate Dean of the Graduate College at Illinois from 1996 to 2000. He directed the theory of computing program at the National Science Foundation from 1990 to 1991. He earned the Ph.D. at the Massachusetts Institute of Technology in 1980.

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Abstract

This WIP paper describes a team approach to phenomenography on ethical engineering practice in the health products industry and its potential impact on research quality. Although qualitative researchers often conduct phenomenography collaboratively, most often a single individual leads the data collection and analysis; others primarily serve as critical reviewers. However, quality may be enhanced by involving collaborators as data analysts in “sustained cycles of scrutiny, debate and testing against the data” [1, p. 88], thus interweaving unique perspectives and insights throughout the analysis process. Nonetheless, collaborating in this intensive data analysis process also presents unique challenges. In this paper, we (1) describe the processes we are applying in an integrated team-based phenomenographic study, (2) identify how the team approach affects research quality, and (3) reflect on the challenges inherent to this process.

We ground this reflective case study in the methodological literature on phenomenography. Our team strategies include multiple interviewers (and, when possible, two interviewers per inter-view), team communication through reflective memos, and integration of individual and team-based data analysis with peer critique of individual analyses. We compare our team approach with typical individual phenomenographic approaches, and we align our procedures with the five strategies of the Qualifying Qualitative Research Quality Framework, or Q3, designed by Walther, Sochacka, and Kellam [2]. In aligning strategies, we consider benefits and trade-offs.

References

Bowden, J. A., & Green, P. (Eds.). (2005). Doing developmental phenomenography. Melbourne, Ausralia: RMIT University Press. Walther, J., Sochacka, N. W., & Kellam, N. N. (2013). Quality in interpretive engineering education research: Reflections on an example study. Journal of Engineering Education, 102(4), 626-659.

Fila, N. D., & Zoltowski, C. B., & Hess, J. L., & Kim, D., & Kerr, A. J., & Brightman, A. O., & Loui, M. C. (2019, June), Work In Progress: Considering the Impact on Research Quality of a Team Approach to Phenomenography Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--33601

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