Digital skills and academic performance in students of the Unified General Baccalaureate: evidence from the Nazaret Private Educational Unit of the Santo Domingo canton
DOI:
https://doi.org/10.51247/pdlc.v7iEspecial1.790Keywords:
digital skills; academic performance; Unified General Baccalaureate; DigComp 2.2; study habits; self-efficacyAbstract
This study analyzes the relationship between digital skills and academic performance in students of the Unified General Baccalaureate at the Nazaret Private Educational Unit. The study involved a census of 72 students and employed a quantitative, non-experimental, cross-sectional, and correlational-explanatory design. The instrument was organized around five dimensions of the DigComp 2.2 framework: information literacy, communication and collaboration, content creation, digital security, and problem-solving. The analysis incorporated descriptive statistics, internal reliability, KMO and Bartlett's tests, Pearson and Spearman correlations, group comparisons, linear regression with robust errors (HC3), Huber robust regression, bootstrap intervals, and a complementary logistic regression model for passing all subjects. The results show a high overall digital competence (M = 3.65; SD = 0.54; α = 0.776), with higher scores in digital security and problem-solving. Overall digital competence was positively associated with the mean in Pearson's correlation coefficient (r = 0.281; p = 0.018), but the relationship lost robustness with Spearman's correlation coefficient and when the influential factor was removed. The most consistent predictor of performance was the study habits and self-efficacy index (r = 0.427; p < 0.001; β = 0.588; p = 0.002 in the parsimonious model). It is concluded that digital competence is a relevant condition for learning, but in this institution, academic performance appears to depend more on the quality of educational use of ICT and study routines than on overall digital competence measured as an aggregate index
Downloads
References
Bartlett, M. S. (1954). A note on the multiplying factors for various chi-square approximations. Journal of the Royal Statistical Society. Series B (Methodological), 16(2), 296-298. https://doi.org/10.1111/j.2517-6161.1954.tb00174.x
Belsley, D. A., Kuh, E., & Welsch, R. E. (1980). Regression diagnostics: Identifying influential data and sources of collinearity. John Wiley & Sons.
Boeskens, L., & Echazarra, A. (2025). Using digital resources for learning: Policy insights from PISA 2022 (OECD Education Working Papers No. 340). OECD Publishing. https://doi.org/10.1787/eb9453f3-en
Centeno, C., & Cosgrove, J. (2025). Ten years of DigComp: A framework more essential than ever. Publications Office of the European Union. https://publications.jrc.ec.europa.eu/repository/handle/JRC143430
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334. https://doi.org/10.1007/BF02310555
Efron, B., & Tibshirani, R. J. (1993). An introduction to the bootstrap. Chapman & Hall.
Fraillon, J. (Ed.). (2025). An international perspective on digital literacy: Results from ICILS 2023. Springer. https://doi.org/10.1007/978-3-031-87722-3
Hosmer, D. W., Jr., Lemeshow, S., & Sturdivant, R. X. (2013). Applied logistic regression (3rd ed.). John Wiley & Sons. https://doi.org/10.1002/9781118548387
Huber, P. J. (1964). Robust estimation of a location parameter. The Annals of Mathematical Statistics, 35(1), 73-101. https://doi.org/10.1214/aoms/1177703732
Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31-36. https://doi.org/10.1007/BF02291575
Li, F., Cheng, L., Wang, X., Shen, L., Ma, Y., & Islam, A. Y. M. A. (2025). The causal relationship between digital literacy and students' academic achievement: A meta-analysis. Humanities and Social Sciences Communications, 12, Article 108. https://doi.org/10.1057/s41599-025-04399-6
López-Núñez, J. A., Alonso-García, S., Berral-Ortiz, B., & Victoria-Maldonado, J. J. (2024). A systematic review of digital competence evaluation in higher education. Education Sciences, 14(11), Article 1181. https://doi.org/10.3390/educsci14111181
MacKinnon, J. G., & White, H. (1985). Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties. Journal of Econometrics, 29(3), 305-325. https://doi.org/10.1016/0304-4076(85)90158-7
Mejías-Acosta, A., D'Armas Regnault, M., Vargas-Cano, E., Cárdenas-Cobo, J., & Vidal-Silva, C. L. (2024). Assessment of digital competencies in higher education students: Development and validation of a measurement scale. Frontiers in Education, 9, Article 1497376. https://doi.org/10.3389/feduc.2024.1497376
Miao, F., Shiohira, K., & Lao, N. (2024). AI competency framework for students. UNESCO. https://www.unesco.org/en/articles/ai-competency-framework-students
OECD. (2024). Students, digital devices and success. OECD Publishing. https://doi.org/10.1787/9e4c0624-en
Pelaez-Sanchez, I. C., Glasserman-Morales, L. D., & Rocha-Feregrino, G. (2024). Exploring digital competencies in higher education: Design and validation of instruments for the era of Industry 5.0. Frontiers in Education, 9, Article 1415800. https://doi.org/10.3389/feduc.2024.1415800
Rodríguez-de-Dios, I., Igartua, J. J., & González-Vázquez, A. (2016). Development and validation of a digital literacy scale for teenagers. In F. J. García-Peñalvo (Ed.), Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality (pp. 1067-1073). Association for Computing Machinery. https://doi.org/10.1145/3012430.3012648
Romero Espinosa, J. M., Núñez Solano, J. D., Ortega Jiménez, A. D., Saldaña Hurtado, A. N., & Lema Vivanco, N. W. (2024). Factores tecnológicos que afectan el rendimiento académico de los estudiantes de secundaria. Revista Scientific, 9(34), 343-364. https://doi.org/10.29394/Scientific.issn.2542-2987.2024.9.34.16.343-364
UNESCO. (2023). Global Education Monitoring Report 2023: Technology in education: A tool on whose terms? UNESCO. https://doi.org/10.54676/UZQV8501
Van Deursen, A. J. A. M., & Van Dijk, J. A. G. M. (2019). The first-level digital divide shifts from inequalities in physical access to inequalities in material access. New Media & Society, 21(2), 354-375. https://doi.org/10.1177/1461444818797082
Verdú-Pina, M., Grimalt-Álvaro, C., Usart, M., & Gisbert-Cervera, M. (2024). La competencia digital de estudiantes y docentes en los centros de educación secundaria. Edutec. Revista Electrónica de Tecnología Educativa, (87), 134-150. https://doi.org/10.21556/edutec.2024.87.3061
Vuorikari, R., Kluzer, S., & Punie, Y. (2022). DigComp 2.2: The Digital Competence Framework for Citizens: With new examples of knowledge, skills and attitudes. Publications Office of the European Union. https://doi.org/10.2760/115376
Zakir, S., Hoque, M. E., Susanto, P., Nisaa, V., Alam, M. K., Khatimah, H., & Mulyani, E. (2025). Digital literacy and academic performance: The mediating roles of digital informal learning, self-efficacy, and students' digital competence. Frontiers in Education, 10, Article 1590274. https://doi.org/10.3389/feduc.2025.1590274
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Galo Javier Bazurto-Zambrano, Amelia Sánchez-Bracho, John Alexander Campuzano-Vásquez

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.








