Descriptive analysis examines how geography, gender, and school type affect digital self-efficacy in students, highlighting disparities.
Students’ self-efficacy in using digital technologies is critical for academic engagement. While previous studies have examined digital self-efficacy among students, they have largely overlooked the impact of students’ location. This study therefore addresses this gap by examining rural–urban differences in students’ digital self-efficacy and the role of different levels of digital engagement, gender and school type. Using data from the Programme for International Student Assessment (PISA) 2022, the current study conducted a descriptive analysis, t-test and multiple linear regression to explore how digital self-efficacy varies among students. The descriptive statistics indicated a higher frequency of digital engagement in favour of male students and private school students. The t-test results revealed a significant rural–urban disparity in terms of digital self-efficacy in favour of urban students. The multiple linear regression revealed that gender, school type and level of digital engagement predict digital self-efficacy differently in different locations.
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Aziku et al. (2026) studied this question.
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