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Teaching Programming Skills in Methods Courses Is an Opportunity, Not a Burden

Published online by Cambridge University Press:  21 December 2021

Rob Williams*
Washington University in St. Louis, USA


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Teaching Political Methodology
© The Author(s), 2021. Published by Cambridge University Press on behalf of the American Political Science Association

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Abbate, Janet. 2012. Recoding Gender: Women’s Changing Participation in Computing. History of Computing. Cambridge, MA: MIT Press.CrossRefGoogle Scholar
Beyer, Sylvia. 2014. “Why Are Women Underrepresented in Computer Science? Gender Differences in Stereotypes, Self-Efficacy, Values, and Interests and Predictors of Future CS Course-Taking and Grades.” Computer Science Education 24 (2–3): 153–92. Scholar
Carlana, Michela. 2019. “Implicit Stereotypes: Evidence from Teachers’ Gender Bias.” Quarterly Journal of Economics 134 (3): 1163–224. Scholar
Chávez, Kerry, and Kristina, M. W. Mitchell. 2020. “Exploring Bias in Student Evaluations: Gender, Race, and Ethnicity.” PS: Political Science & Politics 53 (2): 270–74. Scholar
Cheng, Ching-Ching, and Huang, Kuo-Hung. 2016. “Stereotypes and Technology Education: Different Perceptions of Computer Career Among Elementary School Students.” Journal of Baltic Science Education 15 (3): 271–83. DOI:10.33225/jbse/16.15.271.CrossRefGoogle Scholar
Davenport, Thomas H., and Patil, Dhanurjay. 2012. “Data Scientist: The Sexiest Job of the 21st Century.” Harvard Business Review 90 (10): 7076.Google Scholar
Funke, Alexandra, Berges, Marc, and Hubwieser, Peter. 2016. “Different Perceptions of Computer Science.” In 2016 International Conference on Learning and Teaching in Computing and Engineering (LaTICE), 1418. Scholar
Gewin, Virginia. 2020. “The Time Tax Put on Scientists of Colour.” Nature 583 (7816): 479–81. ScholarPubMed
Google. 2015. “Images of Computer Science: Perceptions Among Students, Parents and Educators in the U.S.”Google Scholar
Irizarry, Yasmiyn. 2021. “On Track or Derailed? Race, Advanced Math, and the Transition to High School.” Socius 7 (January 11). Scholar
Lewis, Colleen M., Yasuhara, Ken, and Anderson, Ruth E.. 2011. “Deciding to Major in Computer Science: A Grounded Theory of Students’ Self-Assessment of Ability.” In Proceedings of the Seventh International Workshop on Computing Education Research, 3–10. ICER ’11. New York: Association for Computing Machinery. Scholar
Li, Ruoxi. 2019. “Teaching Undergraduates R in an Introductory Research Methods Course: A Step-by-Step Approach.” Journal of Political Science Education September:119. Scholar
Lindner, Chris. 2018. “Where Do Data Scientists Come From?” Indeed Engineering Blog. Scholar
McIlwain, Charlton D. 2020. Black Software: The Internet and Racial Justice, from the AfroNet to Black Lives Matter. New York: Oxford University Press.Google Scholar
Mengel, Friederike, Sauermann, Jan, and Zölitz, Ulf. 2018. “Gender Bias in Teaching Evaluations.” Journal of the European Economic Association. Scholar
Mitchell, Kristina M. W., and Martin, Jonathan. 2018. “Gender Bias in Student Evaluations.” PS: Political Science & Politics 51 (3): 15. Scholar
Nguyen, An, and Lewis, Colleen M.. 2020. “Competitive Enrollment Policies in Computing Departments Negatively Predict First-Year Students’ Sense of Belonging, Self-Efficacy, and Perception of Department.” In Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 685–91. SIGCSE ’20. New York: Association for Computing Machinery. Scholar
Papastergiou, Marina. 2008. “Are Computer Science and Information Technology Still Masculine Fields? High School Students’ Perceptions and Career Choices.” Computers & Education 51 (2): 594608. Scholar
Shugars, Sarah. 2021. “Dr. Sarah Shugars: Data Science Is for Everyone.” NYU Center for Data Science. Scholar
Singer, Natasha. 2019. “The Hard Part of Computer Science? Getting into Class.” New York Times, January 24.Google Scholar
Uttl, Bob, and Smibert, Dylan. 2017. “Student Evaluations of Teaching: Teaching Quantitative Courses Can Be Hazardous to One’s Career.” PeerJ 5 (May 9): e3299. ScholarPubMed
Ying, Kimberly Michelle, Pezzullo, Lydia G., Ahmed, Mohona, Crompton, Kassandra, Blanchard, Jeremiah, and Boyer, Kristy Elizabeth. 2019. “In Their Own Words: Gender Differences in Student Perceptions of Pair Programming.” In Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 1053–59. Minneapolis: ACM. Scholar