Skip to main content
Log in

Relationship between gender identity, perceived social support for using computers, and computer self-efficacy and value beliefs of undergraduate students

  • Published:
Education and Information Technologies Aims and scope Submit manuscript

Abstract

This study investigated relationship between gender identity, social support for using computers and computer self-efficacy and value beliefs. Data was collected from first year undergraduate students at a university near Bangkok (72.3 % females, mean age = 18.52 years). The respondents in our survey did not intend to major in computer sciences. Results show parental and peer support for using computers were positively associated with computer self-efficacy and value beliefs for both males and females. Gender typicality was positively associated with the level of computer self-efficacy for males and personal endorsement of gender-stereotypes was negatively associated with the level of computer self-efficacy for females. Students who responded “yes” to whether they would pursue employment in a job that may require them to work with computers reported significantly higher computer self-efficacy and value for using computers than students who responded “no” or “undecided”. Gender role socialization and expectancy-value theories are used to interpret group differences in computer self-efficacy and value beliefs.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Abbiss, J. (2008). Rethinking the ‘problem’ of gender and IT schooling: discourses in literature. Gender and Education, 20(2), 153–165.

    Article  Google Scholar 

  • Abbiss, J. (2011). Boys and machines: gendered computer identities, regulation and resistance. Gender and Education, 23(5), 601–617.

    Article  Google Scholar 

  • Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological Review, 84, 191–215.

    Article  Google Scholar 

  • Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37, 122–147.

    Article  Google Scholar 

  • Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W.H. Freeman.

    Google Scholar 

  • Beyer, S. (2014). Women and science, technology, engineering, and math (STEM). In D. S. Dunn (Ed.), Oxford bibliographies in psychology. New York: Oxford University Press.

    Google Scholar 

  • Brotman, J. S., & Moore, F. M. (2008). Girls and science: a review of four themes in the science education literature. Journal of Research in Science Teaching, 45, 971–1002.

    Article  Google Scholar 

  • Bussey, K., & Bandura, A. (1999). Social cognitive theory of gender development and differentiation. Psychological Review, 106, 676–713.

    Article  Google Scholar 

  • Compton, D. M., Burkett, W. H., & Burkett, G. G. (2003). No sex difference in perceived competence of computer use among male and female college students in 2002. Psychological Reports, 92(2), 503–511.

    Article  Google Scholar 

  • Cooper, J. (2006). The digital divide: the special case of gender. Journal of Computer Assisted Learning, 22(5), 320–334.

    Article  Google Scholar 

  • Cooper, J., & Weaver, K. D. (2003). Gender and computers: Understanding the digital divide. New York: Erlbaum.

    Google Scholar 

  • Crosnoe, R., Riegle-Crumb, C., Field, S., Frank, K., & Muller, C. (2008). Peer group contexts of girls’ and boys’ academic experiences. Child Development, 79(1), 139–155.

    Article  Google Scholar 

  • Eccles, J. S. (1987). Gender roles and women’s achievement-related decisions. Psychology of Women Quarterly, 11, 135–172.

    Article  Google Scholar 

  • Eccles, J. S. (2005). Studying gender and ethnic differences in participation in math, physical science, and information technology. New Directions in Child and Adolescent Development, 110, 7–14.

    Article  Google Scholar 

  • Eccles, J. S., Wigfield, A., Harold, R., & Blumenfeld, P. B. (1993). Age and gender differences in children’s self- and task perceptions during elementary school. Child Development, 64, 830–847.

    Article  Google Scholar 

  • Egan, S. K., & Perry, D. G. (2001). Gender identity: a multidimensional analysis with implications for psychosocial adjustment. Developmental Psychology, 37, 451–463.

    Article  Google Scholar 

  • Evans, C. D., & Diekman, A. B. (2009). On motivated role selection: gender beliefs, distant goals, and career preferences. Psychology of Women Quarterly, 33, 235–249.

    Article  Google Scholar 

  • Frome, P., & Eccles, J. (1998). Parents’ influence on children’s achievement-related perceptions. Journal of Personality and Social Psychology, 74, 435–452.

    Article  Google Scholar 

  • Hazari, Z., Sonnert, G., Sadler, P. M., & Shanahan, M. C. (2010). Connecting high school physics experiences, outcome expectations, physics identity, and physics career choice: a gender study. Journal of Research in Science Teaching, 47(8), 978–1003.

    Google Scholar 

  • Howes, E. V. (2002). Connecting girls and science: Constructivism, feminism, and science education reform. New York: Teachers College Press.

    Google Scholar 

  • Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.

    Article  Google Scholar 

  • Huffman, A. H., Whetten, J., & Huffman, W. H. (2013). Using technology in higher education: the influence of gender roles on technology self-efficacy. Computers in Human Behavior, 29(4), 1779–1786.

    Article  Google Scholar 

  • Jöreskog, K. G., & Sörbom, D. (1996). LISREL 8: User’s reference guide. Chicago: Scientific Software International.

    Google Scholar 

  • Kissau, S. (2007). Is what’s good for the goose good for the gander? the case of male and female encouragement to study French. Foreign Language Annals, 40, 419–432.

    Article  Google Scholar 

  • Kline, R. B. (1998). Software programs for structural equation modeling: Amos, EQS, and LISREL. Journal of Psychoeducational Assessment, 16, 343–364.

    Article  Google Scholar 

  • Kurtz-Costes, B., Rowley, S., Harris-Britt, A., & Woods, T. (2008). Gender stereotypes about mathematics and science and self-perceptions of ability in late childhood and early adolescence. Merrill-Palmer Quarterly, 54, 386–409.

    Article  Google Scholar 

  • Leaper, C., & Van, S. (2008). Masculinity ideology, covert sexism, and perceived gender typicality in relation to young men’s academic motivation and choices in college. Psychology of Men & Masculinity, 9, 139–153.

    Article  Google Scholar 

  • Leaper, C., Farkas, T., & Brown, C. S. (2012). Adolescent girls’ experiences and gender-related beliefs in relation to their motivation in math/science and english. Journal of Youth and Adolescence, 41(3), 268–282.

    Article  Google Scholar 

  • Lent, R. W., Brown, S. D., Sheu, H., Schmidt, J., Brenner, B. R., Gloster, C. S., & Lyons, H. (2005). Social cognitive predictors of academic interests and goals in engineering: utility for women and students at historically black universities. Journal of Counseling Psychology, 52, 84–92.

    Article  Google Scholar 

  • Liben, L. S., & Bigler, R. S. (2002). The developmental course of gender differentiation: conceptualizing, measuring, and evaluating constructs and pathways. Monographs of the Society for Research in Child Development, 67(2), 1–147.

    Article  Google Scholar 

  • Major, D. A., Morganson, V. J., & Bolen, H. M. (2013). Predictors of occupational and organizational commitment in information technology: exploring gender differences and similarities. Journal of Business and Psychology, 28(3), 301–314.

    Article  Google Scholar 

  • Martinot, D., & Desert, M. (2007). Awareness of a gender stereotype, personal beliefs and self-perceptions regarding math ability: when boys do not surpass girls. Social Psychology of Education, 10, 455–471.

    Article  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. Journal of Computer Assisted Learning, 22, 335–348.

    Article  Google Scholar 

  • Packard, B., & Wong, E. D. (1999). Future images and women’s career decisions in science. Paper presented to the American Educational Research Association, Montreal, Canada.

  • 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.

    Article  Google Scholar 

  • Patterson, M. M. (2012). Self-perceived gender typicality, gender-typed attributes, and gender stereotype endorsement in elementary-school-aged children. Sex Roles, 67, 422–434.

    Article  Google Scholar 

  • Plumm, K. M. (2008). Technology in the classroom: burning the bridges to the gaps in gender-biased education? Computers & Education, 50, 1052–1068.

    Article  Google Scholar 

  • Raykov, T. (2001). Estimation of congeneric scale reliability using covariance structure analysis with nonlinear constraints. British Journal of Mathematical and Statistical Psychology, 54, 315–323.

    Article  Google Scholar 

  • Sainz, M., & Eccles, J. (2012). Self-concept of computer and math ability: gender implications across time and within ICT studies. Journal of Vocational Behavior, 80, 486–499.

    Article  Google Scholar 

  • Sainz, M., & Lopez-Saez, M. (2010). Gender differences in computer attitudes and the choice of technology-related occupations in a sample of secondary students in Spain. Computers & Education, 54, 578–587.

    Article  Google Scholar 

  • Schutt, R. K. (2011). Investigating the social world: The process and practice of research. New York: Sage Publications.

    Google Scholar 

  • Selwyn, N. (2007). Hi-tech = guy-tech? an exploration of undergraduate students’ perceptions of information and communication technologies. Sex Roles, 56, 525–536.

    Article  Google Scholar 

  • Stake, R. E. (2006). Multiple case study analysis. New York: The Guilford Press.

    Google Scholar 

  • Tobin, D. D., Menon, M., Menon, M., Spatta, B. C., Hodges, E. V., & Perry, D. G. (2010). The intrapsychics of gender: a model of self-socialization. Psychological Review, 117, 601–622.

    Article  Google Scholar 

  • Tsai, M. J., & Tsai, C. C. (2010). Junior high school students’ internet usage and self-efficacy: a re-examination of the gender gap. Computers & Education, 54, 1182–1192.

    Article  Google Scholar 

  • Vantieghem, W., Vermeersch, H., & Van Houtte, M. (2014). Transcending the gender dichotomy in educational gender gap research: the association between gender identity and academic self-efficacy. Contemporary Educational Psychology, 39, 369–378.

    Article  Google Scholar 

  • Vekiri, I. (2010). Boys’ and girls’ ICT beliefs: Do teachers matter? Computers & Education, 55, 16–23.

    Article  Google Scholar 

  • Vekiri, I. (2013). Information science instruction and changes in girls’ and boys’ expectancy and value beliefs: in search of gender-equitable pedagogical practices. Computers & Education, 64, 104–115.

    Article  Google Scholar 

  • Vekiri, I., & Chronaki, A. (2008). Gender issues in technology use: perceived social support, computer self-efficacy and value beliefs, and computer use beyond school. Computers & Education, 51(3), 1392–1404.

    Article  Google Scholar 

  • Weisgram, E. S., & Bigler, R. S. (2007). Effects of learning about gender discrimination on adolescent girls’ attitudes toward and interest in science. Psychology of Women Quarterly, 31, 262–269.

    Article  Google Scholar 

  • Wilson, W. (2003). Faculty perceptions and uses of instructional technology: a study at one university system revealed the current state of technology and some steps that could improve it. Educause Quarterly, 2, 60–62.

    Google Scholar 

  • Wood, W., & Eagly, A. H. (2002). A cross-cultural analysis of the behavior of women and men: implications for the origin of sex differences. Psychological Bulletin, 128, 699–727.

    Article  Google Scholar 

Download references

Acknowledgments

We are grateful to the Chanut Poondej for his assistance with data collection. We are also grateful to Barbara E. Coon for her critical feedback.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Thanita Lerdpornkulrat.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Deechuay, N., Koul, R., Maneewan, S. et al. Relationship between gender identity, perceived social support for using computers, and computer self-efficacy and value beliefs of undergraduate students. Educ Inf Technol 21, 1699–1713 (2016). https://doi.org/10.1007/s10639-015-9410-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10639-015-9410-8

Keywords

Navigation