Computer science club for girls and boys – a survey study on gender differences

References

• Adams, J. C. (2007). Alice, middle schoolers & the imaginary worlds camps. ACM SIGCSE Bulletin, 39(1), 307. https://doi.org/https://doi.org/10.1145/1227504.1227418
   Google Scholar
• Adya, M., & Kaiser, K. M. (2005). Early determinants of women in the IT workforce: a model of girls’ career choices. Information Technology & People, 18(3), 230–259. https://doi.org/https://doi.org/10.1108/09593840510615860
   Google Scholar
• Alshahrani, A., Ross, I., & Wood, M. I. (2018). Using social cognitive career theory to understand why students choose to study computer science. In Proceedings of the 2018 ACM conference on international computing education research - ICER ’18 (205–214). Espoo, Finland. https://doi.org/https://doi.org/10.1145/3230977.3230994
   Google Scholar
• AP College Board. (2018). AP data overview. New York: The College Board. https://research.collegeboard.org/programs/ap/data
   Google Scholar
• Archer, L., Dawson, E., DeWitt, J., Seakins, A., & Wong, B. (2015). “Science capital”: a conceptual, methodological, and empirical argument for extending bourdieusian notions of capital beyond the arts. Journal of Research in Science Teaching, 52(7), 922–948. https://doi.org/https://doi.org/10.1002/tea.21227
   Web of Science ®Google Scholar
• Banks-Hunt, J. M., Adams, S., Ganter S., & Bohorquez, J. C. (2016). K-12 STEM education: Bringing the engineering maker space, student-centered learning, curriculum, and teacher training to middle schools, In IEEE frontiers in education conference (FIE) (pp. 1–5). Erie, PA. https://doi.org/https://doi.org/10.1109/FIE.2016.7757531
   Google Scholar
• Barker, L. J., & Aspray, W. (2006). The state of research on girls and IT. In J. M. Cohoon & W. Aspray (Eds.), Women and information technology: Research on underrepresentation (pp. 2–54). Cambridge, MA: MIT Press. https://doi.org/http://dx.doi.org/10.7551/mitpress/9780262033459.003.0001
   Google Scholar
• Barker, L. J., McDowell, C., & Kalahar, K. (2009). Exploring factors that influence computer science introductory course students to persist in the major. ACM SIGCSE Bulletin, 41(2), 282–286. https://doi.org/https://doi.org/10.1145/1539024.1508923
   Google Scholar
• Beyer, S. (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), 153–192. https://doi.org/https://doi.org/10.1080/08993408.2014.963363
   Google Scholar
• Beyer, S., Rynes, K., Perrault, J., Hay, K., & Haller, S. (2003). Gender differences in computer science students. In Proceedings of the 34th SIGCSE technical symposium on computer science education (pp. 49–53). Reno, NV. https://doi.org/https://doi.org/10.1145/611892.611930
   Google Scholar
• Bhanot, R. T., & Jovanovic, J. (2009). The links between parent behaviors and boys’ and girls’ science achievement beliefs. Applied Developmental Science, 13(1), 42–59. https://doi.org/https://doi.org/10.1080/10888690802606784
   Web of Science ®Google Scholar
• Borgers, N., de Leeuw, E., & Hox, J. (2000). Children as Respondents in Survey Research: Cognitive Development and Response Quality. Bulletin of Sociological Methodology/Bulletin De Méthodologie Sociologique, 66(1), 60–75. https://doi.org/https://doi.org/10.1177/075910630006600106
   Google Scholar
• Carter, L. (2006). Why students with an apparent aptitude for computer science don’t choose to major in computer science. ACM SIGCSE Bulletin, 38(1), 27. https://doi.org/https://doi.org/10.1145/1124706.1121352
   Google Scholar
• Cheryan, S., Drury, B. J., & Vichayapai, M. (2013). Enduring influence of stereotypical computer science role models on women’s academic aspirations. Psychology of Women Quarterly, 37(1), 72–79. https://doi.org/https://doi.org/10.1177/0361684312459328
   Web of Science ®Google Scholar
• Cheryan, S., Plaut, V. C., Handron, C., & Hudson, L. (2013). The stereotypical computer scientist: gendered media representations as a barrier to inclusion for women. Sex Roles, 69(1–2), 58–71. https://doi.org/https://doi.org/10.1007/s11199-013-0296-x
   Web of Science ®Google Scholar
• Chhin, C. S., Bleeker, M. M., & Jacobs, J. E. (2008). Gender-typed occupational choices: The long-term impact of parents’ beliefs and expectations. In H. M. G. Watt & J. S. Eccles (Eds.), Gender and occupational outcomes: Longitudinal assessments of individual, social, and cultural influences (pp. 215–234). American Psychological Association. https://doi.org/https://doi.org/10.1037/11706-008
   Google Scholar
• Code.org. (2017). University computer science finally surpasses its 2003 peak! Seattle, Washington. https://medium.com/anybody-can-learn/university-computer-science-finally-surpasses-its-2003-peak-ecefa4c8d77d
   Google Scholar
• Corneliussen, H. G., & Prøitz, L. (2016). Kids code in a rural village in norway: could code clubs be a new arena for increasing girls’ digital interest and competence? Information, Communication & Society, 19(1), 95–110. https://doi.org/https://doi.org/10.1080/1369118X.2015.1093529
   Web of Science ®Google Scholar
• Cozza, M. (2011). Bridging gender gaps, networking in computer science. Gender, Technology and Development, 15(2), 319–337. https://doi.org/https://doi.org/10.1177/097185241101500207
   Google Scholar
• Craig, M., & Horton, D. (2009). Gr8 designs for Gr8 girls: a middle-school program and its evaluation. SIGCSE Bulletin, 41(1), 221–225. https://doi.org/https://doi.org/10.1145/1539024.1508949
   Google Scholar
• De Vaus, D. A. (2014). Surveys in Social Research. Allen & Unwin.
   Google Scholar
• Decker, A., & McGill, M. (2017). Pre-college computing outreach research: towards improving the practice. In ACM SIGCSE technical symposium on computer science education (pp. 153–158). Seattle, Washington, USA. https://doi.org/https://doi.org/10.1145/3017680.3017744
   Google Scholar
• Dempsey, J., Snodgrass, R. T., Kishi, I., & Titcomb, A. (2015). The emerging role of self-perception in student intentions. In Proceedings of the 46th ACM technical symposium on computer science education - SIGCSE ’15 (pp. 108–113). Kansas City, MO. https://doi.org/https://doi.org/10.1145/2676723.2677305
   Google Scholar
• Denner, J. (2009). The role of the family in the IT career goals of middle school Latinas. In AMCIS 2009 proceedings (p. 334). https://aisel.aisnet.org/amcis2009/334
   Google Scholar
• Denner, J. (2011). What predicts middle school girlsi interest in computing? International Journal of Gender, Science and Technology, 3(1), 53–69. http://genderandset.open.ac.uk/index.php/genderandset/article/view/106
   Google Scholar
• Denner, J., Werner, L., & O’Connor, L. (2015). Women in Community College: Factors Related to Intentions to Pursue Computer Science. NASPA Journal about Women in Higher Education, 8(2), 156–171. https://doi.org/https://doi.org/10.1080/19407882.2015.1057166
   Google Scholar
• Denner, J., Werner, L., O’Connor, L., & Glassman, J. (2014). Community college men and women: a test of three widely held beliefs about who pursues computer science. Community College Review, 42(4), 342–362. https://doi.org/https://doi.org/10.1177/0091552114535624
   Google Scholar
• Department for Education. (2018). Revised A level and other 16-18 results in England (January). National Statistics. Coventry, England: Education Data Divison, Department for Education. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/676389/SFR03_2018_Main_text.pdf
   Google Scholar
• DeVellis, R. F. (2012). Scale development: Theory and Applications (3rd ed.). SAGE.
   Google Scholar
• Doerschuk, P., Liu, J., & Mann, J. (2010). INSPIRED broadening participation in computing: Most successful strategies and lessons learned. In 2010 IEEE Frontiers in Education Conference (FIE) (pp. T2H-1–T2H-6). Washington, DC. https://doi.org/https://doi.org/10.1109/FIE.2010.5673333
   Google Scholar
• DuBow, W., Weidler-Lewis, J., & Kaminsky, A. (2016). Multiple factors converge to influence women's persistence in computing: A qualitative analysis of persisters and nonpersister. In 2016 Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT) (pp. 1–7). Atlanta, GA. https://doi.org/https://doi.org/10.1109/RESPECT.2016.7836161
   Google Scholar
• Eccles, J. S. (2005). Influences of parents’ education on their children’s educational attainments: The role of parent and child perceptions. London Review of Education, 3(3), 191–204. https://doi.org/https://doi.org/10.1080/14748460500372309
   Google Scholar
• Fouad, N. (1995). Career linking: An intervention to promote math and science career awareness. Journal of Counseling and Development, 73(5), 5. https://doi.org/https://doi.org/10.1002/j.1556-6676.1995.tb01789.x
   Web of Science ®Google Scholar
• Giannakos, M. N., Jaccheri, L., & Proto, R. (2013). Teaching computer science to young children through creativity: Lessons learned from the case of Norway. In Proceedings of the 3rd computer science education research conference on computer science education research. (pp. 103–111). Arnhem, Netherlands. https://doi.org/https://doi.org/10.5555/2541917.2541927
   Google Scholar
• Gniewosz, B., & Noack, P. (2012). The role of between-parent values agreement in parent-to-child transmission of academic values. Journal of Adolescence, 35(4), 809–821. https://doi.org/https://doi.org/10.1016/j.adolescence.2011.11.007
   PubMed Web of Science ®Google Scholar
• Goode, J., Estrella, R., & Margolis, J. (2008). Lost in translation: Gender and high school computer science. In W. Aspray, & J. M. Cohoon (Eds.), Women in IT: Reasons on the reasons of under-representation. Cambridge, MA: MIT Press. https://doi.org/https://doi.org/10.7551/mitpress/9780262033459.001.0001
   Google Scholar
• Guzdial, M. (2015). Learner-Centered Design of Computing Education: Research on Computing for Everyone (Vol. 8). Morgan & Claypool. https://doi.org/https://doi.org/10.2200/S00684ED1V01Y201511HCI033
   Google Scholar
• Guzdial, M., Ericson, B., Mcklin, T., & Engelman, S. (2012). Astatewide survey on computing education pathways and influences: Factors in broadening participation in computing. In ACM international computing education research (pp. 143–150). Auckland, New Zealand.
   Google Scholar
• Hansen, A. K., Dwyer, H. A., Iveland, A., Talesfore, M., Wright, L., Harlow, D. B., & Franklin, D. (2017). Assessing children’s understanding of the work of computer scientists: The draw-a-computer-scientist test. In Proceedings of the 2017 ACM SIGCSE technical symposium on computer science education (pp. 279–284). Seattle, Washington, USA. https://doi.org/https://doi.org/10.1145/3017680.3017769
   Google Scholar
• Harriger, A., Magana, A. J., & Lovan, R. (2012). Identifying the impact of the SPIRIT program in student knowledge, attitudes, and perceptions toward computing careers. In 2012 Frontiers in education conference proceedings (pp. 1–6). Seattle, WA. https://doi.org/https://doi.org/10.1109/FIE.2012.6462502
   Google Scholar
• Henriksen, E. K., Jensen, F., & Sjaastad, J. (2015). The Role of Out-of-School Experiences and Targeted Recruitment Efforts in Norwegian Science and Technology Students’ Educational Choice. International Journal of Science Education, Part B, 5(3), 203–222. https://doi.org/https://doi.org/10.1080/21548455.2014.900585
   Web of Science ®Google Scholar
• Jane., M., & Fisher, A. (2002). Unlocking the clubhouse: Women in Computing. MIT Press.
   Google Scholar
• Kekelis, L., Ancheta, R. W., & Heber, E. (2005). Hurdles in the pipeline: girls and technology careers. Frontiers: A Journal of Women Studies, 26(1), 99–109. https://doi.org/https://doi.org/10.1353/fro.2005.0013
   Web of Science ®Google Scholar
• Kinnunen, P., Butler, M., Morgan, M., Nylen, A., Peters, A.-K., Sinclair, J., Kalvala, S., & Pesonen, E. (2016). Understanding initial undergraduate expectations and identity in computing studies. European Journal of Engineering Education, 43(2), 201–218. https://doi.org/https://doi.org/10.1080/03043797.2016.1146233
   Web of Science ®Google Scholar
• Lakanen, A. J., & Isomöttönen, V. (2018). Computer science outreach workshop and interest development: a longitudinal study. Informatics in Education, 17(2), 341–361. https://doi.org/https://doi.org/10.15388/infedu.2018.18
   Web of Science ®Google Scholar
• Lakanen, I., & Lappalainen, V. (2014). Five years of game programming outreach: Understanding student differences. In Proceedings of the 45th ACM technical symposium on computer science education - SIGCSE ’14 (pp. 647–652). Atlanta, GA. https://doi.org/https://doi.org/10.1145/2538862.2538914
   Google Scholar
• Lang, C., Fisher, J., Craig, A., & Forgasz, H. (2015). Outreach programmes to attract girls into computing: How the best laid plans can sometimes fail. Computer Science Education, 25(3), 257–275. https://doi.org/https://doi.org/10.1080/08993408.2015.1067008
   Web of Science ®Google Scholar
• Master, A., Cheryan, S., Moscatelli, A., & Meltzoff, A. N. (2017). Programming experience promotes higher STEM motivation among first-grade girls. Journal of Experimental Child Psychology, 160(Aug), 92–106. https://doi.org/https://doi.org/10.1016/j.jecp.2017.03.013
   Web of Science ®Google Scholar
• McGill, M. M., Decker, A., & Settle, A. (2015). Does outreach impact choices of major for under represented undergraduate students? In ICER '15: International computing education research conference (pp. 71–80). Omaha, NE. https://doi.org/https://doi.org/10.1145/2787622.2787711
   Google Scholar
• McGill, M. M., Decker, A., & Settle, A. (2016). Undergraduate students’ perceptions of the impact of pre-college computing activities on choices of major. ACM Transactions on Computing Education, 16(4), 1–33. https://doi.org/https://doi.org/10.1145/2920214
   Web of Science ®Google Scholar
• McGrath Cohoon, J. (2008). Just get over it or just get on with It: Retaining women in undergraduate computing. In J. M. Cohoon & W. Aspray (Eds.), Women and information technology: Research on underrepresentation (pp. 205–237). Cambridge, MA: MIT Press. https://doi.org/https://doi.org/10.7551/mitpress/7272.003.0009
   Google Scholar
• McGrath Cohoon, J., & Aspray, W. (2008). Acritical review of the research on women’s participation in postsecondary computing education. In J. M. Cohoon & W. Aspray (Eds.), Women and information technology: Research on underrepresentation (pp. 137–180). Cambridge, MA: MIT Press. https://doi.org/https://doi.org/10.7551/mitpress/9780262033459.001.0001
   Google Scholar
• McLachlan, C., Craig, A., & Coldwell, J. (2010). Student perceptions of ICT: A gendered analysis. Proceedings of the Twelfth Australasian Conference on Computing Education, 103, 127–136. https://doi.org/https://doi.org/10.5555/1862219.1862237
   Google Scholar
• Mercier, E. M., Barron, B., & O’Connor, K. M. (2006). Images of self and others as computer users: The role of gender and experience: Images of computer users. Journal of Computer Assisted Learning, 22(5), 335–348. https://doi.org/https://doi.org/10.1111/j.1365-2729.2006.00182.x
   Web of Science ®Google Scholar
• Miller, D. I., Nolla, K. M., Eagly, A. H., & Uttal, D. H. (2018). The development of children’s gender-science stereotypes: a meta-analysis of 5 decades of U.S. draw-a-scientist studies. Child Development, 89(6), 1943–1955. https://doi.org/https://doi.org/10.1111/cdev.13039
   PubMed Web of Science ®Google Scholar
• Odun-Ayo, T., & Obafemi-Ajayi, T. (2017). Building the K-12 engineering pipeline: An assessment of where we stand. In Frontiers in education conference, October (pp. 1–9). Indianapolis, IN. https://doi.org/https://doi.org/10.1109/FIE.2017.8190641
   Google Scholar
• Pallant, J. (2016). SPSS Survival Manual: A Step by Step Guide to Data Analysis Using SPSS (6th ed.). Allen & Unwin.
   Google Scholar
• Papastergiou, M. (2008). Are Computer Science and Information Technology still masculine fields? High school students’ perceptions and career choices. Computers & Education, 51(2), 594–608. https://doi.org/https://doi.org/10.1016/j.compedu.2007.06.009
   Web of Science ®Google Scholar
• Perera, L. D. H. (2014). Parents’ attitudes towards science and their children’s science achievement. International Journal of Science Education, 36(18), 3021–3041. https://doi.org/https://doi.org/10.1080/09500693.2014.949900
   Web of Science ®Google Scholar
• Plan International. (2019). Programmed Out: The Gender Gap in Technology in Scandinavia. Plan International Norway.
   Google Scholar
• Shashaani, L. (1994). Socioeconomic status, parents’ sex role stereotypes, and the gender gap in computing. Journal of Research on Computing in Education, 26(4), 433. https://doi.org/https://doi.org/10.1080/08886504.1994.10782102
   Google Scholar
• Šimunović, M., Reić Ercegovac, I., & Burušić, J. (2018). How important is it to my parents? Transmission of STEM academic values: The role of parents’ values and practices and children’s perceptions of parental influences. International Journal of Science Education, 40(9), 977–995. https://doi.org/https://doi.org/10.1080/09500693.2018.1460696
   Web of Science ®Google Scholar
• Šimunović, M., & Babarović, T. (2020). The role of parents’ beliefs in students’ motivation, achievement, and choices in the STEM domain: A review and directions for future research. Social Psychology of Education, 23(3), 701–719. https://doi.org/https://doi.org/10.1007/s11218-020-09555-1
   Google Scholar
• Skolinspektionen. (2014). Teknik—Gör det osynliga synligt [Technology–Makes the invisible visible] (Vol. 04, pp. 52). Stockholm: Skolinspektionen [School inspectorate].
   Google Scholar
• Skolverket. (2016) . Redovisning av uppdraget om att föreslå nationella it-strategier för skolväsendet – Förändringar i läroplaner, kursplaner, ämnesplaner och examensmål [Presentation of the mission to propose national IT strategy for the school system - changes in curricula, curricula, syllabuses and degree]. Utbildningsdepartementet [Ministry of Education].
   Google Scholar
• Stanko, T., & Zhirosh, O. (2017). Young women who choose IT: what role do their families play? In 7th World Engineering Education Forum (WEEF) (pp. 88–93). IEEE: Kuala Lumpur. https://doi.org/https://doi.org/10.1109/WEEF.2017.8467169
   Google Scholar
• Statiska Centralbyrån [Central Bureau of Statistics]. (2017). Yrken i Sverige [Occupations in Sweden]. 2019. Swedish Central Bureau of Statistics. https://www.scb.se/hitta-statistik/sverige-i-siffror/utbildning-jobb-och-pengar/yrken-i-sverige/
   Google Scholar
• Stoet, G., & Geary, D. C. (2018). The gender-equality paradox in science, technology, engineering, and mathematics education. Psychological Science, 29(4), 581–593. https://doi.org/https://doi.org/10.1177/0956797617741719
   PubMed Web of Science ®Google Scholar
• Stout, J. G., Dasgupta, N., Hunsinger, M., & McManus, M. A. (2011). STEMing the tide: Using ingroup experts to inoculate women’s self-concept in science, technology, engineering, and mathematics (STEM). Journal of Personality and Social Psychology, 100(2), 255–270. https://doi.org/https://doi.org/10.1037/a0021385
   PubMed Web of Science ®Google Scholar
• Tabachnick, B. G., & Fidell, L. S. (2013). Using Multivariate Statistics (6th ed.). Pearson Education.
   Google Scholar
• Tenenbaum, H. R., & Leaper, C. (2003). Parent-child conversations about science: the socialization of gender inequities? Developmental Psychology, 39(1), 34–47. https://doi.org/https://doi.org/10.1037/0012-1649.39.1.34
   PubMed Web of Science ®Google Scholar
• Tillberg, H. K., & Cohoon, J. M. (2005). Attaching women to the CS major. Frontiers: A Journal of Women Studies, 26(1), 126–140. https://doi.org/https://doi.org/10.1353/fro.2005.0016
   Web of Science ®Google Scholar
• Topi, H. (2015). Gender imbalance in computing: lessons from a summer computer camp. ACM Inroads, 6(4), 22–23. https://doi.org/https://doi.org/10.1145/2822904
   Google Scholar
• Universitetskanslerämbetet. (2018). Studenter och examina i högskoleutbildning på grundnivå och avancerad nivå [Students and degrees in higher education at the undergraduate and advanced level]. Swedish Central Bureau of Statistics. http://www.scb.se/uf0205
   Google Scholar
• Vrieler, T., Nylén, A., & Cajander, Å. (2017). What computing instructors did last summer: experiences and lessons learned. In IEEE frontiers in education conference, October (pp. 1–8). Erie, PA. https://doi.org/https://doi.org/10.1109/FIE.2017.8190723
   Google Scholar
• Wang, J., Hong, H., Ravitz, J., & Ivory, M. (2015). Gender differences in factors influencing pursuit of computer science and related fields. In Proceedings of the 2015 ACM conference on innovation and technology in computer science education (pp. 117–122). https://doi.org/https://doi.org/10.1145/2729094.2742611
   Google Scholar
• Wigfield, A., & Eccles, J. S. (2000). Expectancy–Value Theory of Achievement Motivation. Contemporary Educational Psychology, 25(1), 68–81. https://doi.org/https://doi.org/10.1006/ceps.1999.1015
   PubMed Web of Science ®Google Scholar
• Yardi, S., & Bruckman, A. (2007). What is computing? Bridging the gap between teenagers’ perceptions and graduate students’ experiences. In Proceedings of the third international workshop on computing education research - ICER ’07 (pp. 39–50). Atlanta, GA. https://doi.org/https://doi.org/10.1145/1288580.1288586
   Google Scholar