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Computing Pathways: A Quantitative Inquiry into the Dynamic Pathways of Students in Computing with Gender Comparisons

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Conference

2020 ASEE Virtual Annual Conference Content Access

Location

Virtual On line

Publication Date

June 22, 2020

Start Date

June 22, 2020

End Date

June 26, 2021

Conference Session

Women in Engineering Division Technical Session 3

Tagged Division

Women in Engineering

Tagged Topic

Diversity

Page Count

15

DOI

10.18260/1-2--34322

Permanent URL

https://peer.asee.org/34322

Download Count

61

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Paper Authors

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Maral Kargarmoakhar Florida International University

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Maral Kargarmoakhar was born and raised in Tehran, Iran. She got her bachelors degree in computer engineering from Tehran University. She pursued her master's degree from Florida International University (FIU) in computer science. Currently, she is working on her Ph.D. program at FIU.

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Monique S. Ross Florida International University Orcid 16x16 orcid.org/0000-0002-6320-636X

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Monique Ross earned a doctoral degree in Engineering Education from Purdue University. She has a Bachelor’s degree in Computer Engineering from Elizabethtown College, a Master’s degree in Computer Science and Software Engineering from Auburn University, eleven years of experience in industry as a software engineer, and seven years as a full-time faculty in the departments of computer science and engineering. Her interests focus on broadening participation in engineering through the exploration of: 1) race, gender, and identity in the engineering workplace; 2) discipline-based education research (with a focus on computer science and computer engineering courses) in order to inform pedagogical practices that garner interest and retain women and minorities in computer-related engineering fields. 

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Zahra Hazari Florida International University

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Zahra Hazari is a Professor in the Department of Teaching and Learning and the STEM Transformation Institute as well as an affiliate faculty member in the Department of Physics. Dr. Hazari’s research focuses on reforming physics learning environments in an effort to improve critical educational outcomes for underrepresented groups in physics, especially women. In particular, her work centers on physics identity development, a framework which has proven insightful for explaining gender differences in persistence and is providing critical insight into understanding how to inspire and engage students in physics-related studies.

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Mark A Weiss Florida International University

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Mark Allen Weiss is a Distinguished University Professor of Computer Science and Associate Dean for Undergraduate Education in the College of Engineering and Computing at Florida International University in Miami Florida. He also serves as Interim Founding Director of the School of Universal Computing, Construction, and Engineering EDucation (SUCCEED) having previously served for nine years as Associate Director of the School of Computing and Information Sciences.

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 IEEE Fellow, AAAS Fellow, and ACM Distinguished Educator. He is the recipient of the 2015 SIGCSE Award for Outstanding Contribution to Computer Science Education, 2017 IEEE Computer Society Taylor Booth Education Award, and 2018 IEEE Education Society William Sayle Achievement in 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 ECE
at the University of Central Florida (UCF) 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 at UCF. From July 2012 to May 2013 he served as the Interim Dean of the College of Engineering and Computer Science at UCF. From May 2013 to present he is serving as the dean of the College of Engineering and Computer Science at UCF.

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. His primary research interest is in green networks. Ken is a licensed Professional Engineer in the state of Florida, a senior member of IEEE, and a member of ACM and ASEE.

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Tiana Solis Florida International University

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Tiana Solis recently transitioned from her previous position as the Associate Director of Academic Advising to be a full-time instructor at the School of Computing and Information Sciences, Florida International University. Prior to moving to Hawaii in 2007, she was an instructor and academic advisor for the School from 1994 to 2007. Ms. Solis taught different undergraduate courses and mentored several FIU students participating in the Florida-Georgia Louis Stokes Alliance for Minority Participation (FGLSAMP). She is a past adviser of the Women in Computer Science (WICS) student club. From 2008 to 2010, Ms. Solis was a programmer analyst at the Department of the Attorney General in Hawaii, a member of the team revamping the State Juvenile Justice Information System.
Her research and instructional Interests include programming languages, computer ethics and student success and development.

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Abstract

The number of female students in computing fields remain low despite the millions of dollars spent on research for attracting more female students. In order to attract more female students to these male dominated fields, we first have to understand in which educational years we are losing female students. For the purpose of this study, we utilized the data from [title blinded for anonymity] an NSF funded study. Approximately, 1650 students from three large public universities in Florida participated in this survey. The survey contained 39 questions around identity, field of study, as well as fields they wanted to pursue during middle school, high school, and college. The responses gathered through the Qualtrics survey system were analyzed in R by the research team. The research questions that guided this study were: (1) To what extent are female students interested in computing related fields at middle school, the beginning of high school, and the beginning of college? (2) How have these occupational pursuits changed over time? Do they differ for gender? The results of the study indicated a majority of female students that were attracted to the computing fields during middle school remained in those fields during high school and college years. However, there was no significant flow from other majors to the computing fields observed during the different educational years.

Kargarmoakhar, M., & Ross, M. S., & Hazari, Z., & Weiss, M. A., & Georgiopoulos, M., & Christensen, K., & Solis, T. (2020, June), Computing Pathways: A Quantitative Inquiry into the Dynamic Pathways of Students in Computing with Gender Comparisons Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line . 10.18260/1-2--34322

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