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From Conventional Wisdom to Evidence-Based Practice: Validation of Programmatic Design Decisions in Engineering Doctoral Education

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Conference

2024 ASEE-GSW

Location

Canyon, Texas

Publication Date

March 10, 2024

Start Date

March 10, 2024

End Date

March 12, 2024

Page Count

12

DOI

10.18260/1-2--45381

Permanent URL

https://peer.asee.org/45381

Download Count

203

Paper Authors

biography

Jennifer A Cross Texas Tech University

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Jennifer A. Cross is Assistant Dean for Recruitment and Assessment in the Edward E. Whitacre Jr. College of Engineering and Associate Professor in the Department of Industrial, Manufacturing & Systems Engineering at Texas Tech University. She received her BS in Industrial Engineering from the University of Arkansas and her MS and PhD in Industrial and Systems Engineering from Virginia Tech, where she also served as a Postdoctoral Associate in the Enterprise Engineering Research Lab. Her research interests are organizational assessment/performance measurement, teams, performance improvement methodologies, and engineering education.

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Md Rashedul Hasan Texas Tech University

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I am working on my MS in Systems and Engineering Management at Texas Tech University. I am from Bangladesh, a South Asian country known for its abundant green landscapes. With a passion for evidence-based practices and a keen interest in advancing engineering doctoral education, I am dedicated to academic pursuits to bridge the gap between conventional wisdom and empirical evidence. My research focuses on validating programmatic design decisions in engineering doctoral education to enhance the effectiveness and efficiency of academic programs.

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Diego Alejandro Polanco-Lahoz Texas Tech University

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Diego A. Polanco-Lahoz is a Ph.D. student, from the program of Systems and Engineering Management, in the Department of Industrial, Manufacturing & Systems Engineering at Texas Tech University. He received his BS in Industrial Engineering from the Pontificia Universidad Católica de Valparaíso (PUCV). His research interests are organizational factors research, organizational assessment/performance measurement, and engineering education.

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Mario G. Beruvides P.E. Texas Tech University

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Dr. Mario G. Beruvides is the AT&T Professor of Industrial Engineering and Director of the Laboratory for Systems Solutions in the Industrial Engineering Department at Texas Tech University. He is a registered professional engineer in the state of Texas.

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Kelli Cargile Cook Texas Tech University

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Kelli Cargile Cook is a Professor and Founding Chair of the Professional Communication Department at Texas Tech University. Previously, she served as Professor and Director of Technical Communication and Rhetoric at Texas Tech and as Associate Professor at Utah State University. Her scholarship focuses on online education, program development and assessment, and user-experience design.

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Jason Tham Texas Tech University

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Jason Tham is an associate professor of technical communication and rhetoric at Texas Tech University. He is author of Design Thinking in Technical Communication (2021 Routledge) and co-author of UX Writing (2024 Routledge), Writing to Learn in Teams (2023 Parlor Press), Designing Technical and Professional Communication (2021 Routledge), and Collaborative Writing Playbook (2021 Parlor Press). He has also edited the collection Keywords in Design Thinking (2022 University Press of Colorado).

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Abstract

Engineering educators rely heavily on experience and “conventional wisdom” in making key programmatic design decisions. This appears to be particularly true of doctoral education, which has received less research attention than undergraduate education among the engineering education community, as well as the broader STEM education community. Thus, there is a need for greater attention to developing evidence-based practice to support these decisions. This paper presents some of the preliminary results from an ongoing NSF-funded study (Award No. XXXXXXX), focused on understanding the longitudinal development of researcher identity in engineering doctoral students. The study employs user experience (UX) research methods including journey mapping, focus groups, surveys, and interviews to identify the most influential factors to identity formation over time for both online and on-campus doctoral students within one engineering department at a large state university. The current paper focuses on the longitudinal results from the journey maps of an online cohort of students. Data from the 10 participants are analyzed using a multi-step coding process involving three researchers, and key themes are extracted. Findings provide evidence-based support for many common design elements of doctoral programs, such as the “front loading” of coursework to develop research interest and capabilities, and the importance of initiating research collaboration with the dissertation chair early in the student’s program. However, the findings also reveal some factors that may be unique to online doctoral education, such as the increased complexity of the matriculation process (in particular due to challenges related to communication with on-campus parties) and a strong preference for solo vs. group work in course assignments. Future research includes the incorporation of findings from the on-campus cohort of students, as well as the longer-term incorporation of students from other majors and universities. In addition to disseminating our current findings, a purpose of this paper is to build a network of potential collaborators at other universities in the region.

Cross, J. A., & Hasan, M. R., & Polanco-Lahoz, D. A., & Beruvides, M. G., & Cargile Cook, K., & Tham, J. (2024, March), From Conventional Wisdom to Evidence-Based Practice: Validation of Programmatic Design Decisions in Engineering Doctoral Education Paper presented at 2024 ASEE-GSW, Canyon, Texas. 10.18260/1-2--45381

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