Gender Diversity in Computer Science at a Large Research University
- URL: http://arxiv.org/abs/2004.13760v1
- Date: Tue, 28 Apr 2020 18:11:44 GMT
- Title: Gender Diversity in Computer Science at a Large Research University
- Authors: Monica Babes-Vroman and Thu D. Nguyen
- Abstract summary: We explore the gender gap in Computer Science at a large public research university.
We find that a large percentage of women taking the Introductory CS1 course for majors do not intend to major in CS.
This finding implies that a large part of the retention task is attracting these women to further explore the major.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: With the number of Computer Science (CS) jobs on the rise, there is a greater
need for Computer Science graduates than ever. At the same time, most CS
departments across the country are only seeing 25 to 30 percent of female
students in their classes, meaning that we are failing to draw interest from a
large portion of the population. In this work, we explore the gender gap in CS
at a large public research university, using three data sets that span
thousands of students across 5 and a half academic years. By combining these
data sets, we can explore many issues such as retention as students progress
through the CS major. For example, we find that a large percentage of women
taking the Introductory CS1 course for majors do not intend to major in CS,
which contributes to a large increase in the gender gap immediately after CS1.
This finding implies that a large part of the retention task is attracting
these women to further explore the major. We report findings in three areas of
research in the context of the CS department at our university: the CS
environment, the computing background of our students, and the students'
grades. These findings may also be applicable to computing programs at other
large public research universities.
Related papers
- Simpson's Paradox and Lagging Progress in Completion Trends of
Underrepresented Students in Computer Science [0.09831489366502298]
It is imperative for the Computer Science (CS) community to ensure active participation and success of students from diverse backgrounds.
This work compares CS to other areas of study with respect to success of students from three underrepresented groups: Women, Black and Hispanic or Latino.
Using a data-driven approach, we show that trends of success over the years for underrepresented groups in CS are lagging behind other disciplines.
arXiv Detail & Related papers (2023-11-25T01:00:23Z) - How are Primary School Computer Science Curricular Reforms Contributing
to Equity? Impact on Student Learning, Perception of the Discipline, and
Gender Gaps [0.7896843467339624]
Early exposure to Computer Science (CS) for all is critical to broaden participation and promote equity in the field.
But how does introducting CS into primary school curricula impact learning, perception, and gaps between groups of students?
We investigate a CS-curricular reform and teacher Professional Development (PD) program from an equity standpoint.
arXiv Detail & Related papers (2023-06-01T15:42:26Z) - Advances in Deep Concealed Scene Understanding [145.88351069150943]
We present a comprehensive survey of deep learning techniques aimed at concealed scene understanding.
We offer the largest and latest benchmark for concealed object segmentation.
We discuss open problems and potential research directions for CSU.
arXiv Detail & Related papers (2023-04-21T20:01:18Z) - Better Balance in Informatics: An Honest Discussion with Students [3.9227642572344177]
The Department of Computer Science at UiT The Arctic University of Norway has a gender gap at all academic levels.
This paper presents the results of the discussions and the subsequent recommendations that we made to the administration of the department.
arXiv Detail & Related papers (2023-01-06T14:44:32Z) - Future Computer Systems and Networking Research in the Netherlands: A
Manifesto [137.47124933818066]
We draw attention to CompSys as a vital part of ICT.
Each of the Top Sectors of the Dutch Economy, each route in the National Research Agenda, and each of the UN Sustainable Development Goals pose challenges that cannot be addressed without CompSys advances.
arXiv Detail & Related papers (2022-05-26T11:02:29Z) - A Survey of Knowledge Tracing: Models, Variants, and Applications [70.69281873057619]
Knowledge Tracing is one of the fundamental tasks for student behavioral data analysis.
We present three types of fundamental KT models with distinct technical routes.
We discuss potential directions for future research in this rapidly growing field.
arXiv Detail & Related papers (2021-05-06T13:05:55Z) - Interleaving Computational and Inferential Thinking: Data Science for
Undergraduates at Berkeley [81.01051375191828]
The undergraduate data science curriculum at the University of California, Berkeley is anchored in five new courses.
These courses emphasize computational thinking, inferential thinking, and working on real-world problems.
These courses have become some of the most popular on campus and have led to a surging interest in a new undergraduate major and minor program in data science.
arXiv Detail & Related papers (2021-02-13T22:51:24Z) - OpenHoldem: An Open Toolkit for Large-Scale Imperfect-Information Game
Research [82.09426894653237]
OpenHoldem is an integrated toolkit for large-scale imperfect-information game research using NLTH.
OpenHoldem makes three main contributions to this research direction: 1) a standardized evaluation protocol for thoroughly evaluating different NLTH AIs, 2) three publicly available strong baselines for NLTH AI, and 3) an online testing platform with easy-to-use APIs for public NLTH AI evaluation.
arXiv Detail & Related papers (2020-12-11T07:24:08Z) - What's the worth of having a single CS teacher program aimed at teachers
with heterogeneous profiles? [68.8204255655161]
We discuss the results of a 400-hour teacher training program conducted in Argentina aimed at K-12 teachers with no Computer Science background.
Our research aims at understanding whether a single teacher training program can be effective in teaching CS contents and specific pedagogy to teachers with very heterogeneous profiles.
arXiv Detail & Related papers (2020-11-09T15:03:31Z) - Ethnic Diversity in Computer Science at a Large Public R1 Research
University [0.0]
We study patterns of recruitment and retention among minority students at a large R1 research university.
We show that students from different race/ethnicity groups are not as different as it is perceived by the public.
arXiv Detail & Related papers (2020-04-28T21:50:30Z) - Undergraduate Student Research With Low Faculty Cost [1.90365714903665]
Many programs aimed at introducing undergraduates to research are structured like graduate research programs.
We have started a pilot program in our department where a larger number of students work with a single faculty member.
Students report that they develop a better understanding of what research in Computer Science is.
arXiv Detail & Related papers (2020-03-10T23:54:09Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.