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Your search keyword '"Barr, Valerie"' showing total 3 results
3 results on '"Barr, Valerie"'

1. How We Teach CS2All, and What to Do About Database Decay.

Author

Barr, Valerie, Stonebraker, Michael, Fernandez, Raul Castro, Dong Deng, and Brodie, Michael

Subjects
*COMPUTER science education, *HIGHER education, *DATABASE management, *CULTURAL pluralism, *MOTIVATION (Psychology), *WOMEN in computer science, *MINORITY college students, *DATABASE administrators, *COMPUTER science students, SOCIAL aspects
Abstract

The article discusses efforts to incorporate culturally diverse students in computer science (CS) at U.S. universities and the prevention of database decay by database administrators (DBAs). An overview of underrepresented minority (URM) computer science students in the U.S., including the potential motivating factors that would incorporate women into CS curricula, is provided.

Published
2017
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2. Advice on Teaching CS, and the Learnability of Programming Languages.

Author

Barr, Valerie and Guzdial, Mark

Subjects
*COMPUTER science education, *HIGHER education, *PROGRAMMING languages
Abstract

Two blog posts from the publication's website are presented, one on strategies for effective teaching of college computer science courses and one on the challenge and the importance of rendering computer programming languages easier to learn and to use for non-specialists.

Published
2015
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3. Gender Diversity in Computing: Are We Making Any Progress?

Author

Barr, Valerie

Subjects
*WOMEN in computer science, *SEX discrimination against women, *COMPUTER science education, *HIGHER education, *WOMEN computer scientists, *SEX discrimination in employment
Abstract

The article discusses gender diversity within the computer science (CS) field. Topics include an increase in the number of women enrolling in and staying in CS degree programs, a decline in the percentage of CS degrees that went to women between 1984 and 2015, and the role of Association for Computing Machinery (ACM) in changing the attitudes and behavior of people within the CS field related to gender bias.

Published
2017
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