Gender Differences in Digital Skills—Not What We Expected?

Research has shown that there can be differences between how boys and girls perform in traditional academic subjects like math, science, and reading. For instance, girls often outperform boys in reading, while boys might have an advantage in math and science (e.g., Else-Quest et al., 2010; Keller et al., 2021; Voyer & Voyer, 2014). However, as technology continues to shape our world, do these gender-based performance differences also apply to newer, more interdisciplinary skills, like those related to digital technology?

Young people standing near a wall.

Illustrative photo: Nicolas Lobos on Unsplash

By Ronny Scherer, Fazilat Siddiq
Published Nov. 27, 2024

What some research syntheses say

At the DiDiRes Hub, we've conducted a series of in-depth studies to analyze research on gender differences and similarities. These studies combined the results of many different research papers to get a clearer picture of the overall trends.

For example, a study by Siddiq and Scherer (2019) found that girls generally performed better than boys in digital skills. While there was a difference, it was quite small, even smaller than the differences we see in traditional subjects like math and reading. More recent studies, such as those by Campos et al. (2023) and Scherer et al. (2024), have confirmed these findings. However, it's important to note that these differences aren't consistent across all studies and can vary quite a bit.

These gender differences, and the fact that they vary from study to study, could be due to several factors. This might include how the studies were designed, the specific tests used, the characteristics of the people in the studies, or differences between boys and girls in other constructs. For example, boys and girls might have different beliefs about their own digital skills. A study by Cai et al. (2017) suggested that boys often think they are better at technology than girls. However, we don't fully understand how these beliefs relate to the actual gender differences in digital skills (Campos & Scherer, 2024).

What the newest ICILS 2023 results show

The latest Information and Computer Literacy Study (ICILS) 2023 assessed eight-graders digital skills across 34 countries (Fraillon, 2024). These skills focused on the students’ computer and information literacy (CIL) and their computational thinking (CT). For an overview of this large-scale assessment, please refer to the study’s webpage and the respective reports (https://www.iea.nl/studies/iea/icils/2023).

While girls significantly outperformed boys in computer and information literacy (CIL), boys slightly outperformed girls in computational thinking (CT). Moreover, in 28 out of 32 countries, girls performed better in CIL. In 6 out of 22 countries, boys performed better in CT. At least observations are worth noting: First, the evidence on gender gaps in CIL aligns with previous meta-analyses, suggesting a consistent trend. Second, the discrepancy between CIL and CT performance highlights the nuanced nature of digital skills.

The obvious question is what may explain the gender differences within and across these digital skills. Potential explanations may include task-specific demands. For instance, CT tasks often require more abstract reasoning and problem-solving, while CIL tasks may rely more on information retrieval and comprehension. Future research will (hopefully) delve deeper into the reasons behind these disparities.

 

References

Cai, Z., Fan, X., & Du, J. (2017). Gender and attitudes toward technology use: A meta-analysis. Computers & Education, 105, 1-13. https://doi.org/10.1016/j.compedu.2016.11.003
Campos, D. G., Cheung, M. W.-L., & Scherer, R. (2023). A primer on synthesizing individual participant data obtained from complex sampling surveys: A two-stage IPD meta-analysis approach. Psychological Methods. https://doi.org/10.1037/met0000539
Campos, D. G., & Scherer, R. (2024). Digital gender gaps in Students’ knowledge, attitudes and skills: an integrative data analysis across 32 Countries. Education and Information Technologies, 29(1), 655-693. https://doi.org/10.1007/s10639-023-12272-9
Else-Quest, N. M., Hyde, J. S., & Linn, M. C. (2010). Cross-national patterns of gender differences in mathematics: A meta-analysis. Psychological Bulletin, 136(1), 103-127. https://doi.org/10.1037/a0018053
Fraillon, J. E. (2024). An International Perspective on Digital Literacy: Results from ICILS 2023. International Association for the Evaluation of Educational Achievement (IEA). https://www.iea.nl/publications/icils-2023-international-report
Keller, L., Preckel, F., & Brunner, M. (2021). Nonlinear relations between achievement and academic self-concepts in elementary and secondary school: An integrative data analysis across 13 countries. Journal of Educational Psychology, 113(3), 585-604. https://doi.org/10.1037/edu0000533
Scherer, R., Siddiq, F., & Nilsen, T. (2024). The potential of international large-scale assessments for meta-analyses in education. Large-scale Assessments in Education, 12(1), 4. https://doi.org/10.1186/s40536-024-00191-1
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. https://doi.org/10.1016/j.edurev.2019.03.007
Voyer, D., & Voyer, S. D. (2014). Gender differences in scholastic achievement: A meta-analysis. Psychological Bulletin, 140(4), 1174-1204. https://doi.org/10.1037/a0036620
Tags: Gender equality, digital kompetanse, ICILS, Meta-analysis
Published Nov. 27, 2024 9:18 AM - Last modified Jan. 23, 2025 7:45 AM