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Women in Computing

Women in Computing . Netiva Caftori Northeastern Illinois University 2004. The reality. There are less women in computer science and engineering programs in universities and high schools. There are less women in industry working in development and design of software, for example

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Women in Computing

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  1. Women in Computing Netiva Caftori Northeastern Illinois University 2004

  2. The reality There are less women in computer science and engineering programs in universities and high schools. There are less women in industry working in development and design of software, for example The numbers are actually dropping, from already low numbers, throughout the country and the world. Why? What can be done about it?

  3. Some numbers & terminology • 1993-->2002: 21% of computer science PhD degrees were earned by women, but had only about half that share of assistant professor slots in the field.16% of PhDs in engineering were earned by women but less than 10% are full professors. • 21% of bachelors today in engineering are women (only 1% in 1972). • Critical mass, glass ceiling, shrinking pipeline.

  4. A bit of history • Women were maybe more numerous than men in earlier days (see those early pictures), but were considered “part of the furniture” (J. Lee) • Ada Lovelace • Grace Hopper

  5. Men narrowly focused on the machine Hacking for hacking’s sake Women have multiple interests They desire to link computer science to social concerns and caring for people Computing with a purpose

  6. Gender Socialization Male claim to the field of computing and engineering and the erosion of girls’ and women’s interest can be understood by looking back to the roots of gender socialization. e.g., Kindergarten boys’ and girls’ behavior; a parent who seeds the budding interest; boys’ early success in science; parents’ and teachers’ expectations; boys are raised to take risks; girls to be cautious; earlier puberty for girls.

  7. What helps further boys’ claim and women’s retreat from computing: • Childhood: kids observe their parents. Girls write stories; boys play games and tinker. Girls limit their involvement. • Adolescence: who has a computer? Where is it located? • Peer relationship • Computer game design • Secondary schooling->critical time for girls

  8. Underestimate math abilities Little or no computing experience Anxiety about machines Like “real-life” settings for games with a strong story and everyday people with nonviolent feedback Overestimate math abilities Much computing experience Anxiety about people No clear sense of intrinsic maleness To “be a man” constant competition to prove invulnerability & un-femaleness. AdolescenceGirls ------- Boys

  9. Critical high school years • Girls who choose computing in college got interested because of a high-school course. • Boys get turned on to computing earlier, usually at home or with friends. • Teachers are essential in identifying students and pushing them to take programming classes and not just typing. • Many HS counselors look for boys or for girls whose interest mimics boys. • Girls’ motivations are different than boys’.

  10. Public school teachers (1998 national survey) • 42% of schools said the majority (40% or more) of their teachers were at the intermediate level • 38% of schools characterized the majority of their teachers as beginners • Only 7% of schools said the majority of their teachers were at an advanced level (use technology in curriculum) • 1% of schools placed the majority of teachers at the innovator or instructor level.

  11. Gender Generalization • Too easy to generalize and simplify the categories • But also misleading to say women share no unifying experiences • Going too far in either direction may lead to indifference

  12. In universities Computer science and software engineering curricula Computer science & SW engineering curricula don’t offer what women are interested in or concerned with. The “geek culture” alienates women who resist it. Some find it repulsive. Many see the geek culture as the norm. As a consequence, women’s confidence and interest are extinguished in the college years.

  13. Enjoyment 63% Versatile, broad 42% Math/Science related 38% Secure employment Encouraged by others 32% Best dept CMU 22% Exciting, changing field Enjoyment 70% Encouraged by others 26% Math/science related 15% Secure employment Best dept CMU 15% Versatile 4% Exciting, changing field Factors in decisions to majorWomen --- Men

  14. Myopic focus on computers Some men also resist a narrow orientation but do not question their ability to become computer scientists because their gender has not rendered them suspect. The social history and culture of computing and engineering contribute to boys’ sense of belonging and girls’ sense of “outsidership” in computer science and engineering. The model of a successful CS or engineering student is viewed through a male prism.

  15. Women and Minorities

  16. Confidence and Promise Drops in confidence precede drops in interest. However: The computing field can hold much promise and pleasures for women: problem solving, creation, interaction.

  17. Results of a study At Carnegie Melon University: In 5 years a big rise in numbers of women: 7 women (7%) out of 96 in 1995 to 54 women (42%) out of 130 in 2000 Concluding that what prevailed before the study is that: One group of people can claim a realm of power, delegating others to outsiders.

  18. Suggestions: Teachers and parents need to engage and protect girls’ interests and change computer science and engineering into fields that are engaging and interesting for a much larger and more diverse group of students. Maybe the name “engineering” should be changed or at least its image.

  19. The goal The goal should not be to fit women into computer science and engineering, as they are currently taught and conceived. Rather, a curricular and cultural revolution is required to change computer science and engineering so that the valuable contributions and perspectives of women are respected within the discipline.

  20. What was done at Carnegie Melon • Curricula: Different levels of entering the curriculum depending on level of experience • Admission: Experience is not a prerequisite • Good teaching is especially important to women: e.g., better more experienced teachers in earlier courses; a unit on diversity, particularly gender equity in TA training classes

  21. Carnegie Melon: (Cont.) Contextualizing computer science: • Realistic settings: more applications • Interdisciplinary courses: art, business, ethics, education, gender, language, visual design, organizational skills • Promote diverse teaching methods

  22. Culture Promote a different and diverse culture. Change the image of a computer person from a hacker (which may be repulsive or discouraging to some) necessarily to maybe something else, just as favorable if not appealing to women.

  23. Summary • The absence of women in computer science and sw engineering has large societal implications and is a social justice issue. • The social conditioning that many girls receive runs very deep. It takes a lot to uproot it. • Since everything is affected by the onslaught of technology and since men invent and women use what men invent, a cyberspace society will inevitably reflect the desires of men to the exclusion and often denigration of women. • Something has to be done to change the situation.

  24. Hopes We hope that teachers of all levels, parents, students, computer people of all walks will begin conversations about these findings, and will ask themselves why so few women and girls study computer science and software engineering, how early gender socialization and schooling restrict the options of many girls, and what women can add to the world of technology.

  25. References • J. Margolis & A Fisher: Unlocking the Clubhouse: Women in Computing. MIT press, 2003 • R. Lander & A. Adam (editors): Women in Computing, Intellect, 1997 • SIGCSE Bulletin: Inroads, paving the way towards Excellence in computing education. Special issue: Women & Computing, ACM, June 2002, v34 #2

  26. Discussion topics: • Diversity: Let’s be selfish • Feminism: minimal, optimal, drastic • Senior faculty: are they a model? • Equal access: at home, middle school • Minorities: School resources are inadequate • Tenure clock versus biological clock

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