Validating the Digital Competence (Dig-Comp 2.1) Framework in Higher Education Using Confirmatory Factor Analysis: Non-Western Perspective

Authors

  • Mussa S Abubakari Sultan Hassanal Bolkiah Institute of Education, Universiti Brunei Darussalam https://orcid.org/0000-0003-3782-281X
  • Gamal Abdul Nasir Zakaria Sultan Hassanal Bolkiah Institute of Education, Universiti Brunei Darussalam
  • Juraidah Musa Sultan Hassanal Bolkiah Institute of Education, Universiti Brunei Darussalam
  • Kassim Kalinaki Department of Computer Science, Islamic University in Uganda

DOI:

https://doi.org/10.53103/cjess.v3i6.184

Keywords:

Digital Competence, DigComp 2.1, Confirmatory Factor Analysis, CFA, Higher Education

Abstract

This Pilot study aimed at validating the Digital Competence (Dig-Comp 2.1) Framework instrument within the context of a non-Western developing country. With the rapid advancements in technology and the increasing integration of digital tools in various domains, evaluating learners’ digital competencies is crucial to ensure the effective utilisation of digital resources in educational settings. However, existing frameworks often lack validation in developing and non-western country contexts. Therefore, this study addresses this gap by assessing the reliability and validity of the Dig-Comp 2.1 Framework Questionnaire in a higher education context, involving a sample of ninety-nine (99) university students from Uganda. By implementing a quantitative design, we collected data through an online survey administered to the selected student samples. The analyses employed confirmatory factor analysis (CFA) and confirmatory composite analysis (CCA). The findings indicated that the Dig-Comp framework portrayed an excellent fit with pilot data as indicated by various model fit indices through CFA. Moreover, the CCA demonstrated satisfactory reliability and validity of the Dig-Comp 2.1 framework, suggesting that the instrument’s measures are appropriate and reliable for future investigations. The results of this study can contribute to enhancing the understanding of digital competence and its measurement in non-western countries, thereby informing policies and interventions to bridge the digital divide.

Downloads

Download data is not yet available.

References

Abubakari, M. S., Nurkhamid, & Hungilo, G. (2021). Evaluating an e-Learning Platform at Graduate School Based on User Experience Evaluation Technique. Journal of Physics: Conference Series, 1737(1). https://doi.org/10.1088/1742-6596/1737/1/012019

Abubakari, M. S., Nurkhamid, N., & Priyanto, P. (2022). Factors Influencing Online Learning Engagement: International Students’ Perspective and the Role of Institutional Support. Turkish Online Journal of Distance Education, 23(3), 118–136. https://doi.org/10.17718/tojde.1137253

Alamri, M. M., Almaiah, M. A., & Al-Rahmi, W. M. (2020). Social media applications affecting students’ academic performance: A model developed for sustainability in higher education. Sustainability (Switzerland), 12(16), 1–14. https://doi.org/10.3390/su12166471

Andema, S., Kendrick, M., & Norton, B. (2013). Digital literacy in Ugandan teacher education: Insights from a case study. Reading & Writing, 4(1), 1–8. https://doi.org/10.4102/rw.v4i1.27

Antonietti, C., Cattaneo, A., & Amenduni, F. (2022). Can teachers’ digital competence influence technology acceptance in vocational education? Computers in Human Behavior, 132(February), 107266. https://doi.org/10.1016/j.chb.2022.107266

Carretero, S., Vuorikari, R., & Punie, Y. (2017). The digital competence framework for citizens. In Publications Office of the European Union. https://doi.org/10.2760/38842

Carvalho, A. R., & Santos, C. (2022). Developing peer mentors’ collaborative and metacognitive skills with a technology-enhanced peer learning program. Computers and Education Open, 3, 100070. https://doi.org/10.1016/j.caeo.2021.100070

Çebi, A., & Reisoğlu, İ. (2019). A training activity for improving the digital competences of preservice teachers: The views of pre-service teacher in CEIT and other disciplines. Educational Technology Theory and Practice, 9(2), 539–565. https://doi.org/10.17943/etku.562663

Çebi, A., & Reisoğlu, İ. (2020). Digital Competence: A Study from the Perspective of Pre-service Teachers in Turkey. Journal of New Approaches in Educational Research, 9(2), 294. https://doi.org/10.7821/naer.2020.7.583

Damani, K., Daltry, R., Jordan, K., Hills, L., & Evans, L. (2022). EdTech for Ugandan girls: Affordances of different technologies for girls’ secondary education during the Covid-19 pandemic. Development Policy Review, 40(Suppl 2), e12619. https://doi.org/10.1111/dpr.12619

Forero, C. G., Maydeu-Olivares, A., & Gallardo-Pujol, D. (2009). Factor Analysis with Ordinal Indicators: A Monte Carlo Study Comparing DWLS and ULS Estimation. Structural Equation Modeling: A Multidisciplinary Journal, 16(4), 625–641. https://doi.org/10.1080/10705510903203573

Guitert, M., Romeu, T., & Baztán, P. (2021). The digital competence framework for primary and secondary schools in Europe. European Journal of Education, 56(1), 133–149. https://doi.org/10.1111/ejed.12430

Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., Black, W. C., & Anderson, R. E. (2019). Multivariate Data Analysis. Cengage Learning EMEA. https://doi.org/10.1002/9781119409137.ch4

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203

Hair Jr, J., Hult, G. T., Ringle, C., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publications Inc.

Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

Imasiku, K., Thomas, V., & Ntagwirumugara, E. (2019). Unraveling green information technology systems as a global greenhouse gas emission game-changer. Administrative Sciences, 9(2), 43. https://doi.org/10.3390/admsci9020043

JASP Team. (2023). JASP (Version 0.17.2) [Computer software] (0.17.2). JASP Team. https://jasp-stats.org/

Kalinaki, K. (2019). Massive Open Online Courses (MOOCs): emerging possibilities for quality education in Uganda. Islamic University Multidisciplinary Journal, 6(4), 205–220.

Kibirige, I. (2023). Primary Teachers’ Challenges in Implementing ICT in Science, Technology, Engineering, and Mathematics (STEM) in the Post-Pandemic Era in Uganda. Education Sciences, 13(4), 382. https://doi.org/10.3390/educsci13040382

Kline, R. B. (2016). Principles and Practice of Structural Equation Modeling. In The Guilford Press (Fourth Edi). A Division of Guilford Publications, Inc.

Kock, N. (2022). Model-Driven Data Analytics: Applications with WarpPLS. In ScriptWarp Systems. ScriptWarp Systems.

Kweka, K. H., & Ndibalema, P. (2018). Constraints Hindering Adoption of ICT in Government Secondary Schools in Tanzania: The Case of Hanang District. International Journal of Educational Technology and Learning, 4(2), 46–57. https://doi.org/10.20448/2003.42.46.57

Lynn, N. D., & Emanuel, A. W. R. (2021). Strategic Information Systems Planning for Higher Education in Uganda. IOP Conference Series: Materials Science and Engineering, 1096(1), 012015. https://doi.org/10.1088/1757-899X/1096/1/012015

Martins, J., Branco, F., Gonçalves, R., Au-Yong-Oliveira, M., Oliveira, T., Naranjo-Zolotov, M., & Cruz-Jesus, F. (2019). Assessing the success behind the use of education management information systems in higher education. Telematics and Informatics, 38, 182–193. https://doi.org/10.1016/j.tele.2018.10.001

Newby, L. S., Hite, J. M., Hite, S. J., & Mugimu, C. B. (2013). Technology and education: ICT in Ugandan secondary schools. Education and Information Technologies, 18(3), 515–530. https://doi.org/10.1007/s10639-011-9180-x

Núñez-Canal, M., de Obesso, M. de las M., & Pérez-Rivero, C. A. (2022). New challenges in higher education: A study of the digital competence of educators in Covid times. Technological Forecasting and Social Change, 174(May 2021), 121270. https://doi.org/10.1016/j.techfore.2021.121270

Nyikes, Z. (2018). Digital competence and the safety awareness base on the assessments results of the Middle East-European generations. Procedia Manufacturing, 22, 916–922. https://doi.org/10.1016/j.promfg.2018.03.130

Oyo, B., & Kalema, B. M. (2014). Massive open online courses for Africa by Africa. The International Review of Research in Open and Distributed Learning, 15(6). https://doi.org/10.19173/irrodl.v15i6.1889

Patwardhan, V., Mallya, J., Shedbalkar, R., Srivastava, S., & Bolar, K. (2023). Students’ Digital Competence and Perceived Learning: The mediating role of Learner Agility. F1000Research, 11, 1038. https://doi.org/10.12688/f1000research.124884.2

Ringle, C. M., Wende, S., & Becker, J.-M. (2022). SmartPLS 4 (4.0.8.9). SmartPLS GmbH. https://www.smartpls.com

Schola Europaea. (2020). Digital Competence Framework for the European Schools (Issue October). Schola Europaea, Office of the Secretary‐General Pedagogical Development Unit. https://www.eursc.eu/BasicTexts/2020-09-D-51-en-2.pdf

Serin, H. (2022). Challenges and Opportunities of E-Learning in Secondary School in Iraq. International Journal of Social Sciences & Educational Studies, 9(3), 305–318. https://doi.org/10.23918/ijsses.v9i3p305

Tusiime, W. E., Johannesen, M., & Gudmundsdottir, G. B. (2022). Teaching art and design in a digital age: challenges facing Ugandan teacher educators. Journal of Vocational Education & Training, 74(4), 554–574. https://doi.org/10.1080/13636820.2020.1786439

UNESCO. (2021). Information and Communication Technology Use in Education. United Nations Educational, Scientific and Cultural Organization (UNESCO).

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

Wild, S., & Schulze Heuling, L. (2021). Re-evaluation of the D21-digital-index assessment instrument for measuring higher-level digital competences. Studies in Educational Evaluation, 68(January), 100981. https://doi.org/10.1016/j.stueduc.2021.100981

Zhao, Y., Sánchez Gómez, M. C., Pinto Llorente, A. M., & Zhao, L. (2021). Digital Competence in Higher Education: Students’ Perception and Personal Factors. Sustainability, 13(21), 12184. https://doi.org/10.3390/su132112184

Downloads

Published

2023-11-02

How to Cite

Abubakari, M. S., Zakaria, G. A. N., Musa, J., & Kalinaki, K. (2023). Validating the Digital Competence (Dig-Comp 2.1) Framework in Higher Education Using Confirmatory Factor Analysis: Non-Western Perspective. Canadian Journal of Educational and Social Studies, 3(6), 15–26. https://doi.org/10.53103/cjess.v3i6.184

Issue

Section

Articles