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Factors Affecting the Future Career Pathway Decisions of Lower-income Computing Students

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Conference

2023 ASEE Annual Conference & Exposition

Location

Baltimore , Maryland

Publication Date

June 25, 2023

Start Date

June 25, 2023

End Date

June 28, 2023

Conference Session

Computing and Information Technology Division (CIT) Technical Session 7

Tagged Division

Computing and Information Technology Division (CIT)

Tagged Topic

Diversity

Page Count

19

DOI

10.18260/1-2--43691

Permanent URL

https://strategy.asee.org/43691

Download Count

170

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Paper Authors

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Nivedita Kumar Florida International University

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Nivedita is pursuing her Ph.D. in Engineering & Computing Education at Florida International University. She has a computer science and engineering background as well as K-12 teaching. She thinks about creating an inclusive learning environment using critical and feminist frameworks in undergraduate engineering and computing classrooms.

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Bailey Bond-Trittipo Florida International University

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Maimuna Begum Kali Florida International University Orcid 16x16 orcid.org/0000-0003-1770-7363

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Maimuna Begum Kali is a Ph.D. candidate in the Engineering and Computing Education program at the School of Universal Computing, Construction, and Engineering Education (SUCCEED) at Florida International University (FIU). She earned her B.Sc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET). Kali's research interests center on exploring the experiences of marginalized engineering students, with a particular focus on their hidden identity, mental health, and wellbeing. Her work aims to enhance inclusivity and diversity in engineering education, contributing to the larger body of research in the field.

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Stephen Secules Florida International University Orcid 16x16 orcid.org/0000-0002-3149-2306

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Stephen is an Assistant Professor Engineering and Computing Education at Florida International University. He has a prior academic and professional background in engineering, having worked professionally as an acoustical engineer. He has taught several courses on design, sociotechnical contexts, and engineering education. He runs the Equity Research Group which incorporates qualitative, ethnographic, participatory, and action-oriented research methods to examine and improve equity in engineering education contexts.

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Angela Estacion WestEd

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Angela Estacion is a Senior Research Associate and Evaluation Lead for WestEd’s newly launched Center for Economic Mobility. Estacion brings over 15 years of experience in research and evaluation settings and is responsible for designing, directing, and executing culturally responsive research and evaluation projects. She manages a portfolio of multi-year, mixed methods studies focused on improving educational and career opportunities, with a focus on historically underserved groups.

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Mark A Weiss Florida International University

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Mark Allen Weiss is an Eminent Scholar Chaired Professor, Associate Dean for Undergraduate Education in the College of Engineering and Computing, and Associate Director in the School of Computing and Information Sciences at Florida International University (FIU) in Miami Florida.

He joined FIU after receiving his Ph.D. in Computer Science from Princeton University in 1987. His interests include data structures, algorithms, and education, and he is most well-known for his Data Structures textbooks, which have been used at hundreds of universities worldwide. From 1997-2004 he served as a member of the Advanced Placement Computer Science Development Committee, chairing the committee from 2000-2004. Dr. Weiss is an ACM Distinguished Educator, AAAS Fellow, and the recipient of the 2015 SIGCSE Award for Outstanding Contribution to Computer Science Education and 2017 IEEE Taylor Booth Education Award.

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Michael Georgiopoulos University of Central Florida

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Michael Georgiopoulos received the Diploma in EE from the National
Technical University in Athens, his MS degree and Ph.D. degree in EE
from the University of Connecticut, Storrs, CT, in 1981, 1983 and
1986, respectively. He is currently a Professor in the Department of EECS
at the University of Central Florida in Orlando, FL. From September 2011 to June 2012 he served as the Interim Assistant Vice President of Research at the Office of Research and Commercialization. Since July 2012 he is serving as the Interim Dean of the College of Engineering and Computer Science.

His research interests lie in the areas of Machine Learning and applications with
special emphasis on neural network and neuro-evolutionary algorithms,
and their applications. He has published more than 60 journal papers
and more than 170 conference papers in a variety of conference and
journal venues. He has been an Associate Editor of the IEEE Transactions on Neural Networks from 2002 to 2006, and an Associate Editor of the Neural Networks journal from 2006 to 2012. He has served as the Technical Co-Chair of the IJCNN 2011.

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Ken Christensen P.E. University of South Florida

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Ken Christensen (christen@csee.usf.edu) is a Professor in the Department of Computer Science and Engineering at the University of South Florida. Ken received his Ph.D. in Electrical and Computer Engineering from North Carolina State University in 1991. Hi

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Tiana Solis Florida International University Orcid 16x16 orcid.org/0000-0003-0036-1124

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Tiana Solis is an instructor and a part-time Ph.D. student at Florida International University. She received her Bachelor's and Master's degrees in Computer Science from SUNY (State University of New York) Polytechnic Institute in Utica, New York.

Her research and instructional interests include student access and success in computing, Diversity Equity, and Inclusion in Higher Education.

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Jacqueline Faith Sullivan University of Central Florida

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Since 2012, Jackie Sullivan (MSEnvE), has been an Adjunct Instructor at UCF (Orlando) in the College of Engineering and Computer Science (CECS) and has instructed the first year engineering students since 2015. Ms. Sullivan worked in consulting engineerin

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Abstract

Prior scholarship on brodening participation in computing indicates that in general, students’ participating in different activities and courses help them inform their choices about their post-graduation plans. However, the factors influencing lower-income students’ career decisions specifically are underexplored. Hence, for scholarship support programs to further broaden participation and better support lower-income students in computing, it is critical to know their viewpoints on various factors associated with the different career pathways for their post-graduation plans. This study stems from the year-end survey, disseminated in Spring 2022 as a part of an NSF-funded S-STEM scholarship program across three collaborating public research universities in the Southeast United States to support lower-income students pursuing a degree in computing. Our research seeks to understand the relationships between the factors influencing the participants’ decision to pursue three career pathways. Our findings will inform program development and future research by establishing the importance of exploring the relationships between personal priorities, demographics, and career pathway selections.

Kumar, N., & Bond-Trittipo, B., & Kali, M. B., & Secules, S., & Estacion, A., & Weiss, M. A., & Georgiopoulos, M., & Christensen, K., & Solis, T., & Sullivan, J. F. (2023, June), Factors Affecting the Future Career Pathway Decisions of Lower-income Computing Students Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--43691

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