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Articles

Stereotypical images of male and female mathematics teachers

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Pages 178-193 | Received 24 Aug 2021, Accepted 04 Feb 2022, Published online: 18 May 2022

References

  • Allport, G. W. (1958). The nature of prejudice. Garden City, NY: Doubleday Company.
  • Brandell, G., Nyström, P., & Sundqvist, C. (2004). Mathematics—a male domain? In ICME 10, topic study group 26, gender and mathematics education. Copenhagen, Denmark. https://www.maths.lth.se/GeMa/konferenser/ICME.pdf
  • Brandell, G., & Staberg, E. (2008). Mathematics: A female, male or gender-neutral domain? A study of attitudes among students at secondary level. Gender and Education, 20(5), 495–509.
  • Brauer, M., Judd, C. M., & Jacquelin, V. (2001). The communication of social stereotypes: The effects of group discussion and information distribution on stereotypic appraisals. Journal of Personality and Social Psychology, 81(3), 463–475.
  • Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
  • Brigham, J. C. (1971). Ethnic stereotypes. Psychological Bulletin, 76(1), 15–38.
  • Clatworthy, J., Buick, D., Hankins, M., Weinman, J., & Horne, R. (2005). The use and reporting of cluster analysis in health psychology: A review. British Journal of Health Psychology, 10(3), 329–358.
  • Cohen, L., Manion, L., & Morrison, K. (2018). Research methods in education (8th ed.). London; New York: Routledge.
  • Copur-Gencturk, Y., Thacker, I., & Quinn, D. (2021). K-8 teachers' overall and gender-specific beliefs about mathematical aptitude. International Journal of Science and Mathematics Education, 19(6), 1251–1269.
  • Danielsson, A. T., Gonsalves, A. J., Silfver, E., & Berge, M. (2019). The pride and joy of engineering? The identity work of male working-class engineering students. Engineering Studies, 11(3), 172–195.
  • Darragh, L. (2013). Constructing confidence and identities of belonging in mathematics at the transition to secondary school. Research in Mathematics Education, 15(3), 215–229.
  • Farsani, D., Radmehr, F., Alizadeh, M., & Zakariya, Y. F. (2021). Unpacking the black-box of students’ visual attention in mathematics and English classrooms: Empirical evidence using mini-video recording gadgets. Journal of Computer Assisted Learning, 37(3), 773–781.
  • Galili, T. (2015). Dendextend: An R package for visualizing, adjusting and comparing trees of hierarchical clustering. Bioinformatics (oxford, England), 31(22), 3718–3720.
  • Giddens, A. (2001). Sociology (4th ed.). Oxford, UK: Polity.
  • Hamilton, D. L. (Ed.). (1981). Cognitive processes in stereotyping and intergroup behavior. Hillsdale, NJ: Lawrence Erlbaum Associates.
  • Haynes, R. (2003). From alchemy to artificial intelligence: Stereotypes of the scientist in Western literature. Public Understanding of Science, 12(3), 243–253.
  • Hersh, R. (1999). What is mathematics, really? New York, NY: Oxford University Press.
  • Herzig, A. H. (2004). ‘Slaughtering this beautiful math’: Graduate women choosing and leaving mathematics. Gender and Education, 16(3), 379–395.
  • International Q. (1999). NVivo Qualitative Data Analysis Software.
  • Jugović, I., Baranović, B., & Marušić, I. (2012). The role of gender stereotypes and motivation in the explanation of mathematics achievement and anxiety. Suvremena Psihologija, 15(1), 65–78.
  • Kanahara, S. (2006). A review of the definitions of stereotype and a proposal for a progressional model. Individual Differences Research, 4(5), 306–321.
  • Kane, R., Sandretto, S., & Heath, C. (2002). Telling half the story: A critical review of research on the teaching beliefs and practices of university academics. Review of Educational Research, 72(2), 177–228.
  • Kassambara, A., & Mundt, F. (2020). Factoextra: Extract and visualize the results of multivariate data analyses. https://CRAN.R-project.org/package=factoextra.
  • Katz, D., & Braly, K. W. (1935). Racial prejudice and racial stereotypes. The Journal of Abnormal and Social Psychology, 30(2), 175–193.
  • Krech, D., Crutchfield, R. S., & Ballachey, E. L. (1962). Individual in society: A textbook of social psychology. New York, NY: McGraw-Hill.
  • Kress, G. R., & van Leeuwen, T. (1996). Reading images: The grammar of visual design. London, UK; New York, NY: Psychology Press.
  • Lippmann, W. (1922). Public opinion. New York, NY: Macmillan.
  • Maechler, M., Rousseeuw, P., Struyf, A., Hubert, M., & Hornik, K. (2019). Cluster: Cluster analysis basics and extensions.
  • Mead, M., & Metraux, R. (1957). Image of the scientist among high-school students. Science, 126(3270), 384–390.
  • Philipp, R. A. (2007). Mathematics teachers’ beliefs and affect. In F. K. Lester, Jr. (Ed.), Second handbook of research on mathematics teaching and learning (pp. 257–315). Charlotte, NC: NCTM.
  • Picker, S. H., & Berry, J. S. (2000). Investigating pupils’ images of mathematicians. Educational Studies in Mathematics, 43(1), 65–94.
  • Sam, L. C., & Ernest, P. (2000). A survey of public images of mathematics. Research in Mathematics Education, 2(1), 193–206.
  • Schoenfeld, A. H. (2011). A practical and theoretical agenda for progress in mathematics education. International Mathematical Union (online paper).
  • Sfard, A., & Prusak, A. (2005). Identity that makes a difference: Substantial learning as closing the gap between actual and designated identities. In H. L. Chick, & J. L. Vincent (Eds.), Proceedings of the 29th conference of the international group for the psychology of mathematics education (Vol. 1, pp. 37–52). Melbourne: International Group for the Psychology of Mathematics Education. https://www.emis.de/proceedings/PME29/PME29Plenaries/PME29SfardPrusakPlenary.pdf
  • Spencer, S. J., Steele, C. M., & Quinn, D. M. (1999). Stereotype threat and women’s math performance. Journal of Experimental Social Psychology, 35(1), 4–28.
  • Steinke, J., Applegate, B., Penny, J. R., & Merlino, S. (2022). Effects of diverse STEM role model videos in promoting adolescents’ identification. International Journal of Science and Mathematics Education, 20, 255–276.
  • Sumpter, L. (2016). ‘Boys press all the buttons and hope it will help’: Upper secondary school teachers’ gendered conceptions about students’ mathematical reasoning. International Journal of Science and Mathematics Education, 14(8), 1535–1552.
  • Surmeli, H. (2012). Examination the effect of science fiction films on science education students’ attitudes towards STS course. Procedia - Social and Behavioral Sciences, 47, 1012–1016.
  • Taasoobshirazi, G., Puckett, C., & Marchand, G. (2019). Stereotype threat and gender differences in biology. International Journal of Science and Mathematics Education, 17(7), 1267–1282.
  • Team, R. C. (2020). R: A language and environment for statistical computing. https://www.R-project.org/.
  • Vinacke, W. E. (1957). Stereotypes as social concepts. The Journal of Social Psychology, 46(2), 229–243.
  • Walton, G. M., & Cohen, G. L. (2003). Stereotype lift. Journal of Experimental Social Psychology, 39(5), 456–467.
  • Ward, J. H. (1963). Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association, 58(301), 236–244.
  • Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L., François, R., … Yutani, H. (2019). Welcome to the Tidyverse. Journal of Open Source Software, 4(43), 1686.
  • Williams, J., & Wake, G. (2007). Black boxes in workplace mathematics. Educational Studies in Mathematics, 64(3), 317–343.