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Conference Session
Computing Research I
Collection
2019 ASEE Annual Conference & Exposition
Authors
Mohsen Taheri, Florida International University; Monique S. Ross, Florida International University; Zahra Hazari, Florida International University; Mark A Weiss, Florida International University; Michael Georgiopoulos, University of Central Florida; Ken Christensen P.E., University of South Florida; Tiana Solis, Florida International University; Deepa Chari, Florida International University; Zahra Taheri
Tagged Topics
Diversity
Tagged Divisions
Computing and Information Technology
Computing Identity and Persistence Across Multiple Groups Using Structural Equation ModelingAbstractDespite the projected growth of computer and information technology occupations, manycomputing students fail to graduate. Studying students’ self-beliefs is one way to understandpersistence in a school setting. This paper explores how students' disciplinary identity sub-constructs including competence/performance, recognition, interest, and sense of belongingcontribute to academic persistence. A survey of 1,640 students as part of an NSF grant wasconducted at three South Florida metropolitan public universities. A quantitative analysis wasperformed which included a structural equation model (SEM) and a multigroup SEM. The
Conference Session
Computing and Information Technology Division Technical Session 4
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Stephanie J. Lunn, Florida International University; Monique S. Ross, Florida International University; Zahra Hazari, Florida International University; Mark A. Weiss, Florida International University; Michael Georgiopoulos, University of Central Florida; Ken Christensen P.E., University of South Florida; Tiana Solis, Florida International University
Tagged Topics
Diversity
Tagged Divisions
Computing and Information Technology
from FIU.Dr. Monique S. Ross, Florida International University Monique Ross, Assistant Professor in the School of Computing and Information Sciences and STEM Transformation Institute at Florida International University, designs research focused on broadening par- ticipation in computer science through the exploration of: 1) race, gender, and disciplinary identity; 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 (specifically Black and His- panic women) in computer-related engineering fields.Prof. Zahra Hazari, Florida International University Zahra Hazari is an Associate Professor
Conference Session
Computing and Information Technology Division Technical Session 8
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Stephanie J. Lunn, Florida International University; Monique S. Ross, Florida International University
Tagged Topics
Diversity
Tagged Divisions
Computing and Information Technology
Paper ID #32306Cracks in the Foundation: Issues with Diversity and the Hiring Processin Computing FieldsStephanie J. Lunn, Florida International University Stephanie Lunn is presently a Ph.D. candidate in the School of Computing and Information Sciences at Florida International University (FIU). Her research interests span the fields of Computing and Engineer- ing Education, Human Computer Interaction, Data Science, and Machine Learning. Previously, Stephanie received her B.S. and M.S. degrees in Neuroscience from the University of Miami, in addition to B.S. and M.S. degrees in Computer Science from FIU.Dr. Monique S
Conference Session
Topics in Computing and Information Technology-I
Collection
2018 ASEE Annual Conference & Exposition
Authors
Kari L. Jordan Ph.D., The Carpentries; Marianne Corvellec, Institute for Globally Distributed Open Research and Education (IGDORE); Elizabeth D. Wickes, University of Illinois at Urbana-Champaign; Naupaka B. Zimmerman, University of San Francisco; Jonah M. Duckles, Software Carpentry; Tracy K. Teal, The Carpentries
Tagged Topics
Diversity
Tagged Divisions
Computing and Information Technology
% to 40% of new graduates in science, technology, engineering, and mathematics(STEM), business, and any field involving quantitative analysis would have to become thesedata-literate managers and analysts, in order to meet the United States demand of two to fourmillion by 2024 [2]. The authors stress the importance of data visualization to support decision-making. To add to the complexity, some workers can and will take on more than one role,especially in small and medium-sized organizations.What we have referred to as ‘workforce needs’ may be more correctly characterized as growthpotential, in the sense that most industries are still capturing only a fraction of the potential valuefrom data and analytics [2]. Beyond considerations about