Gender Differences in Science and Engineering: A Data Mining Approach

In this paper, we describe a data-intensive approach to study gender differences in Science, Technology, Engineering and Mathematics (STEM). We apply deep learning, text mining and statistical methods to unique academic datasets, including undergraduate admission data, co-operative job descriptions and student entrepreneurship data. Our results show that women have different reasons than men for applying to an engineering program, that women tend to fill slightly different co-operative positions during their undergraduate studies, and that women are less likely to be interested in entrepreneurial activities.

[1]  Laura Huang,et al.  Gender Bias, Social Impact Framing, and Evaluation of Entrepreneurial Ventures , 2018, Organ. Sci..

[2]  Patrick Ian Armstrong,et al.  Men and things, women and people: a meta-analysis of sex differences in interests. , 2009, Psychological bulletin.

[3]  Monica Bruning,et al.  High School Is Not Too Late: Developing Girls' Interest and Engagement in Engineering Careers , 2015 .

[4]  Amanda L. Griffith,et al.  Persistence of Women and Minorities in STEM Field Majors: Is it the School That Matters? , 2010 .

[5]  Darcy Hango,et al.  Gender differences in science, technology, engineering, mathematics and computer science (STEM) programs at university , 2013 .

[6]  Antti Kauhanen,et al.  Gender Differences in Careers , 2015 .

[7]  Catherine T. Amelink,et al.  Gender Differences in Elements of the Undergraduate Experience that Influence Satisfaction with the Engineering Major and the Intent to Pursue Engineering as a Career , 2010 .

[8]  Wendy M. Williams,et al.  Women have substantial advantage in STEM faculty hiring, except when competing against more-accomplished men , 2015, Front. Psychol..

[9]  Lukasz Golab,et al.  Gender Differences in Undergraduate Engineering Applicants: A Text Mining Approach , 2018, EDM.

[10]  Erin D. Reilly,et al.  Perceptions of Male and Female STEM Aptitude , 2017 .

[11]  N. Ellemers,et al.  Gender contributes to personal research funding success in The Netherlands , 2015, Proceedings of the National Academy of Sciences.

[12]  Jeffrey Dean,et al.  Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.

[13]  Kentaro Toyama,et al.  The Unexpected Entry and Exodus of Women in Computing and HCI in India , 2018, CHI.

[14]  M. Graham,et al.  Science faculty’s subtle gender biases favor male students , 2012, Proceedings of the National Academy of Sciences.

[15]  T. Breda,et al.  Teaching accreditation exams reveal grading biases favor women in male-dominated disciplines in France , 2016, Science.

[16]  Silvia Knobloch-Westerwick,et al.  The Matilda Effect in Science Communication , 2013 .

[17]  Tommi Kärkkäinen,et al.  Discovering Gender-Specific Knowledge from Finnish Basic Education using PISA Scale Indices , 2014, EDM.

[18]  Gregory C. Wolniak,et al.  College Student Engagement and Early Career Earnings: Differences by Gender, Race/Ethnicity, and Academic Preparation , 2012 .

[19]  Lisa Rosenthal,et al.  The Roles of Perceived Identity Compatibility and Social Support for Women in a Single-Sex STEM Program at a Co-educational University , 2011 .

[20]  N. Fouad,et al.  Comparison of women engineers who persist in or depart from engineering , 2016 .

[21]  Kuheli Dutt,et al.  Gender differences in recommendation letters for postdoctoral fellowships in geoscience , 2016 .

[22]  Lukasz Golab,et al.  Job Description Mining to Understand Work-Integrated Learning , 2018, EDM.

[23]  Feifei Ye,et al.  Math achievement is important, but task values are critical, too: examining the intellectual and motivational factors leading to gender disparities in STEM careers , 2015, Front. Psychol..

[24]  Amanda B. Diekman,et al.  Seeking Congruity Between Goals and Roles , 2010, Psychological science.

[25]  C. Geisler,et al.  Survival Analysis of Faculty Retention in Science and Engineering by Gender , 2012, Science.

[26]  Amy Blackstone,et al.  “Putting in your time”: Faculty Experiences in the Process of Promotion to Professor , 2013 .

[27]  Lorelle L. Espinosa.  Pipelines and Pathways: Women of Color in Undergraduate STEM Majors and the College Experiences That Contribute to Persistence , 2011 .

[28]  Philip M. Sadler,et al.  Stability and volatility of STEM career interest in high school: a gender study , 2012 .

[29]  Emerson Murphy-Hill,et al.  Gender differences and bias in open source: pull request acceptance of women versus men , 2017, PeerJ Comput. Sci..

[30]  J. Hunt,et al.  Why do Women Leave Science and Engineering? , 2010, SSRN Electronic Journal.

[31]  T. DiPrete,et al.  Gender Differences in the Formation of a Field of Study Choice Set. , 2015, Sociological science.

[32]  Lukasz Golab,et al.  Quantifying the Impact of Entrepreneurship on Cooperative Education Job Creation. , 2018 .

[33]  M. J. Chang,et al.  What matters in college for retaining aspiring scientists and engineers from underrepresented racial groups , 2014 .

[34]  C. Berheide,et al.  Gender Differences in Promotion Experiences at Two Elite Private Liberal Arts Colleges in the United States. , 2013 .

[35]  K. N. Smith,et al.  “Girl Power”: Gendered Academic and Workplace Experiences of College Women in Engineering , 2018 .

[36]  J. Mills,et al.  ‘Yes, I do belong’: the women who stay in engineering , 2013 .

[37]  Yael M Levitte,et al.  What’s So Special about STEM? A Comparison of Women’s Retention in STEM and Professional Occupations , 2013, Social forces; a scientific medium of social study and interpretation.

[38]  Ernesto Reuben,et al.  How stereotypes impair women’s careers in science , 2014, Proceedings of the National Academy of Sciences.

[39]  Brian Rubineau,et al.  Persistence Is Cultural: Professional Socialization and the Reproduction of Sex Segregation , 2016 .

[40]  S. Ceci,et al.  National hiring experiments reveal 2:1 faculty preference for women on STEM tenure track , 2015, Proceedings of the National Academy of Sciences.