Assessing Digital Competence in Indonesian students: demographic and Internet usage factors through the Rasch Model

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Wibowo Heru Prasetiyo, Beti Indah Sari, Rizky Novia Saputri, Noor Banu Mahadir Naidu, Triyanto, Jagad Aditya Dewantara

2025 Journal of E-Learning and Knowledge Society Vol. 21 Issue 2 Article Cited by 1 Quartile

Abstract

In today’s rapidly evolving digital landscape, technological advancements continue to reshape human lifestyles, making robust digital competence (DC) essential in an interconnected world. This study addresses existing gaps in the literature by evaluating the digital competence of Indonesian students and examining the influence of parental educational backgrounds and daily internet usage frequency. Utilizing convenience sampling and online questionnaires, data were collected from 251 students and analyzed using the Rasch Model with Winsteps software version 5.7.3.0. The findings reveal gender-based differences in digital skills, indicating the need for tailored educational strategies. Additionally, students with less educated parents tend to prioritize personal data protection, while those with highly educated parents display broader digital competencies. Although high internet usage is associated with enhanced digital competence, it also carries risks to mental health, such as increased internalizing symptoms and cognitive distortions. This study contributes to ongoing discussions on improving student digital competence and underscores the importance of balanced internet usage strategies. © Italian e-Learning Association.

Affiliations

Universitas Muhammadiyah Surakarta, Dept. of Civic Education, Surakarta, Indonesia; Universitas Negeri Surabaya, Dept. of Pancasila and Civic Education, Surabaya, Indonesia; University Pendidikan Sultan Idris, Dept. of Moral, Civics, and Character Building Studies, Tanjong Malim, Malaysia; Universitas Sebelas Maret, Dept. of Civic Education, Surakarta, Indonesia; Universitas Tanjungpura, Dept. of Civic Education, Surakarta, Indonesia