Students' Digital Competency Profile: An Observational Study of Five Areas of Digital Competency
DOI:
https://doi.org/10.59329/gawi.v6i1.303Keywords:
Digital competence, DigComp, Rasch model, BPSAbstract
This study is a preliminary investigation aimed at mapping the profiles and dynamics of students’ digital competencies based on the five domains of the Digital Competence Framework (DigComp): Information & Data Literacy, Communication & Collaboration, Digital Content Creation, Security & Safety, and Educational Problem Solving. This study employs a quantitative descriptive approach using an observational method involving 195 high school students selected through purposive sampling via the Google Forms platform, as well as 66 university students from 12 public and private universities. The research instrument consists of a Likert-scale-based observation sheet validated using the Rasch Model (Rating Scale Model) with the assistance of Winsteps software. Overall, students’ digital competencies fall into the “fairly good” category. The Security & Safety and Communication & Collaboration dimensions showed the highest levels of achievement, while Digital Content Creation ranked the lowest. The pattern of digital competency development shows an upward trend in higher grade levels, although not in a linear fashion. These findings indicate that students are still predominantly technology users and have not yet reached their full potential as digital creators. Therefore, there is a need to strengthen project-based learning and pedagogical innovations closely linked to digital skills to develop digital competencies more comprehensively and sustainably as part of efforts to support the 21st-century Global SDGs program.
References
Arima Devi, L. P. S., & Winangun, I. A. (2024). Peran literasi digital dalam meningkatkan kompetensi teknologi siswa sekolah dasar. Jurnal Ilmiah Pendidikan Citra Bakti, 11(4). https://doi.org/10.38048/jipcb.v11i4.4681
Blyznyuk, T. (2018). Formation of teachers’ digital competence: Domestic challenges and foreign experience. Journal of Vasyl Stefanyk Precarpathian National University, 5(1), 40–46. https://doi.org/10.15330/jpnu.5.1.40
Bond, T. G., & Fox, C. M. (2015). Applying the Rasch model: Fundamental measurement in the human sciences (3rd ed.). Routledge.
Boone, W. J., Staver, J. R., & Yale, M. S. (2014). Rasch analysis in the human sciences. Springer.
Cabero-Almenara, J., Barroso-Osuna, J., & Palacios-Rodríguez, A. (2021). Digital competence frameworks for teachers: A systematic review. Sustainability, 13(9). https://doi.org/10.3390/su13095139
Carretero, S., Vuorikari, R., & Punie, Y. (2017). DigComp 2.1: The digital competence framework for citizens. Publications Office of the European Union. https://doi.org/10.2760/38842
Chandra, N. E., Arumningtyas, F., & Juliza, M. (2025). Peningkatan kompetensi literasi digital berbasis sains data untuk siswa SMK. Journal of Sustainable Community Development, 4(1). https://doi.org/10.60036/4bnw2x26
European Commission. (2016). DigCompSat: A self-reflection tool for citizens’ digital competence. European Commission.
European Commission. (2018). DigComp 2.1: The digital competence framework for citizens. Publications Office of the European Union.
European Commission. (2019). The digital competence framework for citizens (DigComp). European Commission.
Ferrari, A. (2013). DIGCOMP: A framework for developing and understanding digital competence in Europe. Publications Office of the European Union.
Fraillon, J., Ainley, J., Schulz, W., Friedman, T., & Duckworth, D. (2019). Preparing for life in a digital world: IEA International Computer and Information Literacy Study 2018 international report. Springer.
Hambleton, R. K., Swaminathan, H., & Rogers, H. J. (1991). Fundamentals of item response theory. Sage.
Hatlevik, O. E., & Christophersen, K. A. (2013). Digital competence at the beginning of upper secondary school. Computers & Education, 63, 240–247. https://doi.org/10.1016/j.compedu.2012.11.015
Hatlevik, O. E., Guðmundsdóttir, G. B., & Loi, M. (2015). Examining factors predicting students’ digital competence. Journal of Information Technology Education: Research, 14, 123–137.
Instefjord, E. J., & Munthe, E. (2017). Educating digitally competent teachers: Integration of professional digital competence. Teaching and Teacher Education, 67, 37–45. https://doi.org/10.1016/j.tate.2017.05.016
Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). Guilford Press.
Koehler, M. J., & Mishra, P. (2009). What is technological pedagogical content knowledge (TPACK)? Contemporary Issues in Technology and Teacher Education, 9(1), 60–70.
Linacre, J. M. (2002). What do infit and outfit mean-square and standardized mean? Rasch Measurement Transactions, 16(2), 878.
McDonald, R. P. (1999). Test theory: A unified treatment. Lawrence Erlbaum Associates.
Messick, S. (1995). Validity of psychological assessment: Validation of inferences from persons’ responses and performances as scientific inquiry into score meaning. American Psychologist, 50(9), 741–749. https://doi.org/10.1037/0003-066X.50.9.741
Nurlia, A., Samaduri, A., & Matoneng, T. A. (2025). Students’ information literacy level in the digital learning era: A survey in high school. Jurnal Biologi Babasal, 4(1), 16–22. https://doi.org/10.32529/jbb.v4i01.3963
Putri, D., Iswatiningsih, D., Arifin, S., & Ericka, S. (2025). Hubungan literasi digital dan prestasi akademik siswa. Tarbiyah bil Qalam: Jurnal Pendidikan Agama dan Sains, 9(1). https://doi.org/10.58822/tbq.v9i1.268
Putri, H. S., Grace, A. J., Siregar, N. R., & Joharis. (2024). Improving students’ digital literacy through technology: The importance of information seeking skills. International Journal of Educational Evaluation and Policy Analysis, 2(2). https://doi.org/10.62951/ijeepa.v2i2.262
Redecker, C. (2017). European framework for the digital competence of educators: DigCompEdu. Publications Office of the European Union.
Redecker, C., Vuorikari, R., & Punie, Y. (2017). European framework for the digital competence of educators (DigCompEdu). Publications Office of the European Union.
Samejima, F. (1969). Estimation of latent ability using graded scores (Psychometrika Monograph Supplement No. 17). Psychometric Society.
Tondeur, J., Aesaert, K., Pynoo, B., van Braak, J., Fraeyman, N., & Erstad, O. (2018). Developing a validated instrument to measure preservice teachers’ ICT competencies. Computers & Education, 115, 1–16. https://doi.org/10.1016/j.compedu.2017.07.006
Vuorikari, R., Kluzer, S., & Punie, Y. (2022). DigComp 2.2: The digital competence framework for citizens. Publications Office of the European Union.
Vuorikari, R., Pokropek, A., & Castaño Muñoz, J. (2025). Enhancing digital skills assessment. Technology, Knowledge and Learning. https://doi.org/10.1007/s10758-025-09825-x
Wright, B. D., & Masters, G. N. (1982). Rating scale analysis. MESA Press.
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Copyright (c) 2026 Nuri Nuri , Putut Marwoto, Bambang Subali, Sulhadi Sulhadi, Rizal Agri Wahyuadi, Arini Ismiati

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