Paper ID #38002Considerations for the Use of Personas and Journey Maps inEngineering Course DesignNicholas D. Fila (Research Assistant Professor)Diane T. Rover (University Professor) Diane Rover is a University Professor of Electrical and Computer Engineering at Iowa State University. She has held various faculty and administrative appointments at ISU and Michigan State University since 1991. She received the B.S. in computer science and the M.S. and Ph.D. in computer engineering. Her teaching and research have focused on engineering education, embedded computer systems, reconfigurable hardware, parallel and
formation, high-impact learning experiences, and Latino/a/x & first-generation college student pathways in engineering. Through her research, Castillo hopes to amplify the voices of historically underrepresented populations in engineering to improve the accessibility of engineering education for diverse students. Upon graduating, Castillo will be attending Arizona State University to pursue a Ph.D. in Engineering Education Systems and Design as an NSF Graduate Research Fellow.Joana Marques Melo (Doctor) Joana Marques Melo, PhD worked as a Visiting Assistant Professor in Engineering Education at Purdue University. Dr. Marques Melo graduated from Penn State University with a Ph.D. in Architectural Engineering, and B.S. in
throughresearchers’ reflections on data gathered before and during the research process [71]. In thisstudy, we used four different types of data found within the methods literature on collaborativeautoethnography: 1) personal memory data, 2) archival data, 3) conversational and interactivedata, and 4) reflection and analytical data [9], [65], [72].For personal memory data, we individually reflected upon and documented our journeys tograduate school, then shared those narratives with each other as the foundation for conversationaland interactive data.Archival data came in the form of our graduate school application materials such as ourstatements of purpose, transcripts, and personal statements.Conversation and interactive data collection represented the
Paper ID #37118Work in Progress: Adapting to the changes in the teachingpedagogy post-pandemic in Electrical and ComputerEngineering coursesQudsia Tahmina (Assistant Professor) Dr. Qudsia Tahmina is an Assistant Professor in the Department of Electrical and Computer Engineering at The Ohio State University. She received her Ph.D. in Electrical Engineering from the University of Wisconsin-Milwaukee. Her research focus is Algorithm development for Cochlear Implants and Hearing Aids to enhance speech perception. She worked at a private online institution and has experience with remote teaching and learning tools. She
immigrants andAmerican-born individuals [27]. With regards to Asian American transracial adoptee identitydevelopment, the nuances of other various identities become highlighted [28], [29], [30]. And tobetter understand Asian, Pacific Islander, and Desi American college students as a population, anexploration of their racial identity development can help to understand how they navigate thedynamics required in college and society [31]. Though there are various theories related toAsian American identity formation, we focus on the Asian American Racial IdentityDevelopment Theory for this paper [32].The Asian American Racial Identity Development Theory, posed by Kim, heavily links theintersection of one’s educational journey with their social journey
campus Katreena Thomas is a graduate student at Arizona State University in the Engineering Education Systems and Design Doctoral program. She is a member of the Shifting Perceptions, Attitudes, and Cultures in Engineering (SPACE) Lab group and her research interests include broadening participation in engineer- ing, engineering leadership, and experiential learning experiences in engineering. She received her B.S. in Industrial Engineering from the University of Pittsburgh and her M.S. in Human Systems Engineering from Arizona State University.Julia Machele Brisbane, Virginia Polytechnic Institute and State University Julia Brisbane is a Ph.D. student in the Engineering Education Department at Virginia Tech and an
implemented to encourage accessibility to work-integrated learningexperiences. The networking strand referred to how students were utilizing their personal andprofessional networks to gain references and insights into WILs. Mapping student identitytrajectories in relation to their participation in WILs allowed us to further understand theintricacies of their journeys while also retaining the authenticity of their accounts, experiences,and emotions.MethodsData Source and RecruitmentThe data for this study comes from a larger mixed-methods study focused on characterizinglatent diversity in engineering. Latent diversity is defined as the attitudes, mindsets, and beliefsthat are not readily visible in a classroom that may inform our understanding of how
Paper ID #37099Development of a Longitudinal Method to Measure AttritionIntentionsKyeonghun Jwa Kyeonghun Jwa is a Ph.D. candidate in the Department of Mechanical Engineering at The Pennsylvania State University. He earned his Bachelor’s degree and Master’s degree in Mechanical & Automotive Engineering from the University of Ulsan in South Korea. His research interests include doctoral engineering attrition, international graduate students’ academic literacy, and adjustment experiences in the U.S.Catherine Berdanier Catherine G.P. Berdanier is an Assistant Professor of Mechanical Engineering at Pennsylvania
support of their career readiness. He has helped to lead research funded by NSF (award # 2024973) to examine the potential benefit of using critical narratives as a pedagogical tool in the professional formation of engineers.Aishwary Pawar Aishwary Pawar is a doctoral candidate in Industrial & Systems Engineering at the University of Michigan-Dearborn. His main research interest centers on investigating the factors that influence undergraduate enrollment, retention, graduation, and dropout. For his master’s thesis, Aishwary researched how student demographics and background characteristics lead to a more comprehensive understanding of a student’s enrolment and retention at an undergraduate college. For his Ph.D
analysis somewhat descriptively with little to no interpretation. For example, tenCaten and colleagues' study [40] involved the analysis of a single 2.5 hour focus group withseven participants. The only mention of analysis was that it was, “transcribed, indexed, andanalyzed” (p. 143). The findings were then presented in three sections that align with questionsasked during the focus group. Another example of this with a more narrative approach was inMeyer and Fang where five participants were interviewed and asked to bring a journey map.There was also minimal discussion of the data analysis, “Data analysis was made based on thetranscriptions and reflections from the interviews as well as the graphic journey maps thatparticipants had generated” (p
president of the Graduate Women in Engineering organization at Penn State University.Johnathan Vicente Johnathan P. Vicente is currently a Ph.D. student in Mechanical Engineering at Carnegie Mellon University. He earned his B.S. in Mechanical Engineering with a Minor in Sociology at Pennsylvania State University. While at Penn State, he performed research in the Engineering Cognitive Research Laboratory under Dr. Catherine Berdanier.Kanembe Shanachilubwa 4th-year doctoral student at Penn State University. Research interests include graduate attrition, persistence, and socialization.Catherine Berdanier Catherine G.P. Berdanier is an Assistant Professor of Mechanical Engineering at Pennsylvania State University and is the