Computer and Information Literacy at the eighth grade: differences between boys and girls

Authors

  • Elisa Caponera National Institute for the Educational Evaluation of Instruction and Training (INVALSI)
  • Francesco Annunziata National Institute for the Educational Evaluation of Instruction and Training (INVALSI)
  • Laura Palmerio National Institute for the Educational Evaluation of Instruction and Training (INVALSI)

Keywords:

ICILS, gender differences, computer literacy

Abstract

In recent decades, ICT has radically transformed our daily lives, work and social relationships, trying to understand how young people are prepared for this new challenge is crucial. 

This study investigated the gender differences in International Computer and Information Literacy Study (ICILS) results. Italian students participating in ICILS 2018 (n=2810; mean age:13,3) were considered. The sample was representative of Italian students at the beginning of the eighth grade. Students answered the CIL (Computer and Information Literacy) international questionnaire including questions about students’ socio-economic and cultural background, future expectations about ICT usage for work and study, ICT skills to complete a range of different tasks, self-efficacy towards ICT.

A structural equation model (SEM) was adopted to perform a path analysis to test a relationship between student characteristics and CIL performance.

The results evidenced that the relationships between CIL, on one hand, and self-confidence and expectations for the use of ICT for work and study, on the other hand, differ between boys and girls. Moreover, self-efficacy mediates the variables’ effects for the girls: a higher level of self-efficacy reinforces the relationship between ICT Learning and CIL.

On the basis of the results, some possible implications for the Italian school system are discussed. 

References

Aesaert, K., & Van Braak, J. (2015), Gender and socioeconomic related differences in performance based ICT competences. Computers & Education, 84, 8-25.

Aesaert, K., Van Nijlen, D., Vanderlinde, R., Tondeur, J., Devlieger, I., & van Braak, J. (2015), The contribution of pupil, classroom and school level characteristics to primary school pupils' ICT competences: A performance-based approach. Computers & Education, 87, 55-69.

Anderson, N., Lankshear, C., Timms, C., & Courtney, L. (2008), ‘Because it’s boring, irrelevant and I don’t like computers’: Why high school girls avoid professionally-oriented ICT subjects. Computers & Education, 50(4), 1304-1318.

Attewell, P. (2001), The first and second digital divides. Sociology of Education, 74, 252-259.

Australian Curriculum, Assessment and Reporting Authority (ACARA) 2015, National Assessment Program – ICT Literacy Years 6 & 10 Report, available at http://www.nap.edu.au/verve/_resources/D15_8761__NAPICT_2014_Public_Report_Final.pdf.

Bentler PM. (1990), Comparative fit indexes in structural models. Psychol Bull 107:238-46. doi: 10.1037/0033-2909.107.2.238.

Browne MW, Cudeck R. (1993), Alternative ways of assessing model fit. Sage focus editions,. 154:136. doi: 10.1177/0049124192021002005.

Bunz, U., Curry, C., & Voon, W. (2007), Perceived versus actual cmputer-email-web fluency. Computers in human behavior, 23(5), 2321-2344.

Bray, F., 2007. Gender and technology. Annual Review of Anthropology, 36:37-53

Byrne, B. M. (2001), Structural equation modeling with AMOS, EQS, and LISREL: Comparative approaches to testing for the factorial validity of a measuring instrument. International journal of testing, 1(1), 55-86.

Cai, Z., Fan, X., & Du, J. (2017), Gender and attitudes toward technology use: A meta-analysis. Computers & Education, 105, 1-13.

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), 58-71.

Chiu, M. M., & Xihua, Z. (2008), Family and motivation effects on mathematics achievement: analyses of students in 41 countries. Learning and Instruction, 18(4), 321-336.

Clayton, K. L., Von Hellens, L. A., & Nielsen, S. H. (2009), Gender stereotypes prevail in ICT: A research review. In Proceedings of the special interest group on management information system's 47th annual conference on Computer personnel research, 153-158.

Cohen, J. (2013), Statistical power analysis for the behavioral sciences. Academic press.

Colley, A., & Comber, C. (2003), Age and gender differences in computer use and attitudes among secondary school students: what has changed?. Educational Research, 45(2), 155-165.

Dicke, A. L., Safavian, N., & Eccles, J. S. (2019). Traditional gender role beliefs and career attainment in STEM: A gendered story?. Frontiers in psychology, 1053.

Dickhäuser, O., & Stiensmeier-Pelster, J. (2002), Gender differences in computer work: evidence for the model of achievement-related choices. Contemporary Educational Psychology, 27, 486-496.

Dickhäuser, O., & Stiensmeier-Pelster, J. (2003), Gender differences in the choice of computer courses: applying an expectancy-value model. Social Psychology of Education, 6, 173-189.

Eccles, J. S. (2007). Where Are All the Women? Gender Differences in Participation in Physical Science and Engineering. American Psychological Association.

European Commission. (2005), i2010: A European Information Society for growth and employment. Communication from the Commission to the Council, the European Economic and Social Committee and the Committee of Regions. Retrieved October 31, 2015, from http://eur-lex.europa.eu.

European Commission (2010), Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions: A digital agenda for Europe. Available from https://eur-lex.europa.eu/legal-content/EN/ALL/?uri=CELEX:52010DC0245R(01).

European Commission (2013), Digital agenda for Europe: A Europe 2020 initiative. Available from http://ec.europa.eu/digital-agenda/digital-agenda-europe.

European Commission (2021), Communication from the commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions. 2030 digital compass: the European way for the digital decade. Retrieved from https://ec.europa.eu/info/sites/default/files/communication-digital-compass-2030_en.pdf.

Fan, X., & Chen, M. (2001), Parental involvement and students’ academic achievement: A metaanalysis. Educational Psychology Review, 13(1), 1-22.

Ferreira, E. (2017). The eco-production of gender and ICT gender stereotypes in schools. First Monday, 22(10). https://doi.org/10.5210/fm.v22i10.7062

Fraillon, J., Ainley, J., Schulz, W., Duckworth, D., & Friedman, T. (2019), IEA International Computer and Information Literacy Study 2018 assessment framework. Cham, Switzerland: Springer. Retrieved from https://link.springer.com/content/pdf/10.1007%2F978-3-030-19389-8.pdf

Fraillon, J., Ainley, J., Schulz, W., Friedman, T., & Duckworth, D. (2020), IEA International Computer and Information Literacy Study 2018. Technical Report. International Association for the Evaluation of Educational Achievement.

Gnambs, T. (2021), The development of gender differences in information and communication technology (ICT) literacy in middle adolescence. Computers in Human Behavior, 114, 106533.

Gorski, P. (2005), Education equity and the digital divide. AACE Review (Formerly AACE Journal), 13(1), 3-45.

Gui, M., & Argentin, G. (2011), Digital skills of internet natives: Different forms of digital literacy in a random sample of northern Italian high school students. New media & society, 13(6), 963-980.

Hargittai, E. (2001), Second-level digital divide: Mapping differences in people's online skills. arXiv preprint cs/0109068.

Hargittai, E., & Shafer, S. (2006), Differences in actual and perceived online skills: The role of gender. Social Science Quarterly, 87(2), 432-448.

Harper, V. (2003), The digital divide (DD): A reconceptualization for educators. Association for the Advancement of Computing in Education Journal, 11(1), 96-103.

Hatlevik, O. E., Throndsen, I., Loi, M., & Gudmundsdottir, G. B. (2018), Students’ ICT self-efficacy and computer and information literacy: Determinants and relationships. Computers & Education, 118, 107-119.

Hohlfeld, T. N., Ritzhaupt, A. D., & Barron, A. E. (2013), Are gender differences in perceived and demonstrated technology literacy significant? It depends on the model. Educational Technology Research and Development, 61(4), 639-663.

Iacobucci, D., Saldanha, N, Deng, X. (2007), A Meditation on Mediation: Evidence that Structural Equations Models Perform better than Regressions, Journal of Consumer Psychology, 17(2), 139-153.

Jackson, L. A., Zhao, Y., Kolenic III, A., Fitzgerald, H. E., Harold, R., & Von Eye, A. (2008), Race, gender, and information technology use: The new digital divide. CyberPsychology & Behavior, 11(4), 437-442.

Karatsoli, M., & Nathanail, E. (2020), Examining gender differences of social media use for activity planning and travel choices. European Transport Research Review, 12(1), 1-9.

Landström, C. (2007). Queering feminist technology studies. Feminist Theory, 8(1), 7-26.

Levpuš?ek, M. P., Zupan?i?, M., & So?an, G. (2013), Predicting achievement in mathematics in adolescent students the role of individual and social factors. The Journal of Early Adolescence, 33(4), 523-551.

Liff, S., Shepherd, A., Wajcman, J., Rice, R., & Hargittai, E. (2004), An evolving gender digital divide?. OII Internet Issue Brief, (2).

Little, T. D., Cunningham, W. A., Shahar, G., & Widaman, K. F. (2002), To parcel or not to parcel: Exploring the question, weighing the merits. Structural equation modeling, 9(2), 151-173.

Mascheroni, G., & Ólafsson, K. (2014). Net children go mobile: Risks and opportunities. Milano: Educatt.

Murray, M. C., & Pérez, J. (2014), Unraveling the digital literacy paradox: How higher education fails at the fourth literacy. Issues in Informing Science and Information Technology, 11, 85-100. Retrieved from http://iisit.org/Vol11/IISITv11p085-100Murray0507.pdf.

Reinen, I. J., & Plomp, T. (1997), Information technology and gender equality: a contradiction in terminis?. Computers & Education, 28(2), 65-78.

Rohatgi, A., Scherer, R., & Hatlevik, O. E. (2016), The role of ICT self-efficacy for students' ICT use and their achievement in a computer and information literacy test. Computers & Education, 102, 103-116.

Qazi, A., Hasan, N., Abayomi-Alli, O., Hardaker, G., Scherer, R., Sarker, Y., & Maitama, J. Z. (2021). Gender differences in information and communication technology use & skills: a systematic review and meta-analysis. Education and Information Technologies, 1-34.

Sáinz, M., & Eccles, J. (2012), Self-concept of computer and math ability: Gender implications across time and within ICT studies. Journal of vocational behavior, 80(2), 486-499.

Sáinz, M., Meneses, J., López, B. S., & Fàbregues, S. (2016). Gender stereotypes and attitudes towards information and communication technology professionals in a sample of Spanish secondary students. Sex Roles, 74(3), 154-168.

Shapka, J. D., & Ferrari, M. (2003), Computer-related attitudes and actions of teacher candidates. Computers in Human Behavior, 19, 319-334.

Shute, V. J., Hansen, E. G., Underwood, J. S., & Razzouk, R. (2011), A Review of the Relationship between Parental Involvement and Secondary School Students’ Academic Achievement. Education Research International, 2011, 1-10, doi:10.1155/2011/915326.

Siddiq, F., & Scherer, R. (2019), Is there a gender gap? A meta-analysis of the gender differences in students' ICT literacy. Educational research review, 27, 205-217.

Singh, K., Bickley, P, Trivette, P., Keith, T. Z., Keith, P. B., & Anderson, E. (1995), The effects of four components of parental involvement on eighth grade student achievement: Structural analysis of NELS-88 data. School Psychology Review, 24, 299-317.

Sirin, R. (2005), Socioeconomic status and academic achievement: A meta-analytic review of research. Review of Educational Research, 75(3), 417-453.

Steiger, J. H. (1990), Structural model evaluation and modification: An interval estimation approach. Multivariate behavioral research, 25(2), 173-180.

Sutton, R. E. (1991), Equity and computers in the schools: A decade of research. Review of educational research, 61(4), 475-503.

Tam, H. L., Chan, A. Y. F., & Lai, O. L. H. (2020). Gender stereotyping and STEM education: Girls’ empowerment through effective ICT training in Hong Kong. Children and Youth Services Review, 119, 105624.

Tømte, C., & Hatlevik, O. E. (2011), Gender-differences in self-efficacy ICT related to various ICT-user profiles in Finland and Norway. How do self-efficacy, gender and ICT-user profiles relate to findings from PISA 2006. Computers & Education, 57(1), 1416-1424.

Van Deursen, A. J., & van Dijk, J. A. (2009), Improving digital skills for the use of online public information and services. Government Information Quarterly, 26(2), 333-340.

Vitores, A., & Gil-Juárez, A. (2016), The trouble with ‘women in computing’: a critical examination of the deployment of research on the gender gap in computer science. Journal of Gender Studies, 25(6), 666-680.

Volman, M., & van Eck, E. (2001), Gender equity and information technology in education: The second decade. Review of educational research, 71(4), 613-634.

Warschauer, M., Knobel, M., and Stone, L. (2004), Technology and equity in schooling: Deconstructing the digital divide. Educational Policy, 18(4), 562-588.

Zhao, X, Lynch, J.G., Chen, Q. (2010), Reconsidering Baron and Kenny: Myths and Truths about Mediation Analysis, Journal of Consumer Psychology, 37, 197-206.

Published

2022-06-01 — Updated on 2022-10-12

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