CHI TIẾT NGHIÊN CỨU …
Tiêu đề
Investigation on gender and area of study stereotypes among Irish third level students
Tác giả
Chatzi A.V.; Murphy C.
Năm xuất bản
2022
Source title
International Journal of Educational Research Open
Số trích dẫn
3
DOI
10.1016/j.ijedro.2022.100171
Liên kết
Tóm tắt
Gender stereotypes are identified as a significant contributor to persistent inequality and in an educational arena, it has far reaching effects. As third level students select their area of study, their stereotypes can influence the degree of integration or exclusion in a particular area of study. Over the years, this has resulted to multiple research studies in the investigation of gender stereotypes with particular emphasis in the relationship between gender stereotypes and selected areas of study (Sciences and Liberal Arts) among men and women. In this study the implicit stereotypes of participants were targeted as they are indicative of their delicate mental associations. A quantitative survey was conducted to investigate the extent of gender-area of study stereotypes among Irish third level students. Results indicated that participants felt that, even though both genders devote time to their work equally, it is men that spend more time away from their families, are frequent achievers of high levels on performance and show more natural interest in Science, Technology, Engineering or Maths. Especially among female participants, males scored higher as high achievers in Mathematics and were declared to have more ‘natural’ interest in Science. Comparison between this study and another international big scale study was deemed reliable and comparable. © 2022 The Author(s)
Từ khóa
Gender; Irish students; Science; Stereotypes; Third level education
Tài liệu tham khảo
Blackburn H., The Status of Women in STEM in Higher Education: A Review of the Literature 2007-2017, Science & Technology Libraries, 36, 3, pp. 235-273, (2017); Bodenhausen G.V., Stereotypes as Judgmental Heuristics: Evidence of Circadian Variations in Discrimination, Psychol. Sci., 1, 5, pp. 319-322, (1990); Carvalho I., Costa C., Torres A., Gender Awareness and Women Managers in Tourism: Perceptions of Inequality and What Could Be Done, Handbook of Research on Women in Management and the Global Labor Market, (2019); Chaxel A.-S., How Do Stereotypes Influence Choice?, Psychol. Sci., 26, 5, pp. 641-645, (2015); Corbett C., Hill C., Solving the equation: The variables for women's success in engineering and computing, (2015); Creswell J.W., Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, (2014); Devereux P.J., Determinants of Degree Quality in Ireland, Report to the Higher Education Authority (HEA), (2020); Drake C.E., Primeaux S., Thomas J., Comparing Implicit Gender Stereotypes Between Women and Men with the Implicit Relational Assessment Procedure, Gender Issues, 35, 1, pp. 3-20, (2018); Ebert I.D., Steffens M.C., Kroth A., Warm, but Maybe Not So Competent?-Contemporary Implicit Stereotypes of Women and Men in Germany, Sex Roles, 70, 9-10, pp. 359-375, (2014); Farrell L., McHugh L., Examining gender-STEM bias among STEM and non-STEM students using the Implicit Relational Assessment Procedure (IRAP), Journal of Contextual Behavioral Science, 6, 1, pp. 80-90, (2017); Fraenkel J.R., Wallen N.E., How to Design and Evaluate Research in Education, (2003); Greenwald A.G., McGhee D.E., Schwartz J.L.K., Measuring individual differences in implicit cognition: An implicit association test, J. Pers. Soc. Psychol., 74, 6, pp. 1464-1480, (1998); Handelsman J., (2015); Hellriegel D., Slocum J.W., Woodman R.W., Organizational behavior, (1989); Hochschild A., Machung A., The second shift, (1989); Infante-Perea M., Roman-Onsalo M., Navarro-Astor E., Relationship between Gender Segregation and Students’ Occupational Preferences in Building Engineering, J. Prof. Issues Eng. Educ. Pract., 145, 4, (2019); Mascret N., Cury F., “I'm not scientifically gifted, I'm a girl”: Implicit measures of gender-Science stereotypes – preliminary evidence, Educational Studies, 41, 4, pp. 462-465, (2015); Nosek B.A., Bar-Anan Y., Sriram N., Axt J., Greenwald A.G., Understanding and using the brief Implicit Association Test: Recommended scoring procedures, PLoS One, 9, 12, (2014); O'Brien C., Girls’ Maths ability underestimated due to stereotypes, study finds, (2020); Perkins H.W., DeMeis D.K., Gender and Family Effects on the ‘Second-Shift’ Domestic Activity of College-Educated Young Adults, Gender and Society, 10, 1, pp. 78-93, (1996); Shin Y.-J., Lee E.S., Seo Y., Does Traditional Stereotyping of Career as Male Affect College Women's, but Not College Men's, Career Decision Self-Efficacy and Ultimately Their Career Adaptability?, Sex Roles, 81, 1-2, pp. 74-86, (2019); Smeding A., Women in Science, Technology, Engineering, and Mathematics (STEM): An Investigation of Their Implicit Gender Stereotypes and Stereotypes’ Connectedness to Math Performance, Sex Roles, 67, 11-12, pp. 617-629, (2012); Wang Y., Redmiles D., Implicit gender biases in professional software development: An empirical study, Proceedings - 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Society, ICSE-SEIS 2019, pp. 1-10, (2019); (2022); Zitelny H., Shalom M., Bar-Anan Y., What Is the Implicit Gender-Science Stereotype? Exploring Correlations Between the Gender-Science IAT and Self-Report Measures, Social Psychological and Personality Science, 8, 7, pp. 719-735, (2017)
Nơi xuất bản
Elsevier Ltd
Hình thức xuất bản
Article
Open Access
All Open Access; Gold Open Access; Green Open Access
Nguồn
Scopus