Title
Women in CS: Changing the Women or Changing the World?
Abstract
This Research Full Paper provides a review of literature regarding the participation of women in Computer Science (CS) related disciplines and discusses four different categories of variables, with the goal of determining what current professors, staff, and students can do to promote the retention and inclusion of female students in CS programs.1)Static attributes of female students (race, socioeconomic background, GPA, ACT/SAT score, etc).2)Adjustable attributes of the female students themselves (qualities that could be changed through workshops, courses, mentoring, or other training programs).3)Static attributes of the environment around female students (location of a university, number of students enrolled, etc).4)Adjustable attributes of the environments around female students (aspects of a program or university like what courses are required and in what order, who is teaching, what they are teaching, how they are teaching, etc).We review literature that suggests departments can attempt to influence attributes of the female students themselves, like students' self efficacy, thinking habits, and academic goals, through courses and programs. We conclude that this category of variables could be split into two ill-defined subcategories. First, variables which may be ethical to adjust, like students' confidence or self efficacy. Second, variables which may be better left unchanged: we note that if interventions lead female students to be more like their male peers, we are not attaining true diversity. We discuss the implications of attempting to change female students and discuss the effectiveness of modifying environments around female students.We take the position that the study of static attributes, whether internal or external to female students, leads to few actionable tasks. We propose that future research should look for adjustable factors that allow for professors, staff, and students to change their actions in order to increase retention rates.
Year
DOI
Venue
2019
10.1109/FIE43999.2019.9028562
2019 IEEE Frontiers in Education Conference (FIE)
Keywords
DocType
ISSN
female students,computer science related disciplines,self efficacy,thinking habits,academic goals,static attributes,retention rates
Conference
1539-4565
ISBN
Citations 
PageRank 
978-1-7281-1747-8
0
0.34
References 
Authors
30
3
Name
Order
Citations
PageRank
Naomi Johnson101.35
Jonathon Garcia200.34
Kevin D. Seppi333541.46