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Factors Contribute to Developing Digital Competencies in Economics Education in Vietnamese Universities: Evidence from A Lecturer Survey

Year 2025, Volume: 12 Issue: 5, 23 - 42, 01.09.2025
https://doi.org/10.17275/per.25.62.12.5

Abstract

With the rise of the digital economy being a salient feature of Vietnam's higher education sector, the pressure is on universities to provide their students with the digital competencies needed to enable academic achievement and future professional success. This study examined the antecedents of digital competencies in economics education by identifying four important areas: curriculum, faculty development and expertise, technology, and institutional supports and policies. Data were collected from 200 faculty members from six of Vietnam's leading economics universities and analysed through Structural Equation Modeling (SEM). The study found that while technological infrastructure is a necessary condition for digital competencies, it has a limited ability to explain when it is not localized within supportive frameworks of regulations and policies in their pedagogies. Moreover, we found a robust relationship between students' digital competencies and their ability to engage in academic life and apply economic concepts in real-world experiences. This suggests that digital competences are not only technical skills, but also fundamental enablers of valuable learning and being adaptable professionals. In conclusion, if universities are to provide economics education that contributes to the expectations stemming from a digital economy, it is essential to develop and sustain faculty development in curriculum redesign, establish supportive institutional policies, and use technology for design not coincidental purposes to reduce the likelihood of careless mistakes..

References

  • Ala-Mutka, K. (2011). Mapping digital competence: Towards a conceptual understanding. Sevilla: Institute for Prospective Technological Studies, 7-60.
  • Alarcón, D., Sánchez, J. A., & De Olavide, U. (2015, October). Assessing convergent and discriminant validity in the ADHD-R IV rating scale: User-written commands for Average Variance Extracted (AVE), Composite Reliability (CR), and Heterotrait-Monotrait ratio of correlations (HTMT). In Spanish STATA meeting (Vol. 39, pp. 1-39).
  • Antoniuk, D. S., Spirin, O., & Vakaliuk, T. (2023). Using digital business simulators in economic and managerial development of master’s in information technologies. Інформаційні технології і засоби навчання, 2(94), 72-86.
  • Bacon, D. R., Sauer, P. L., & Young, M. (1995). Composite reliability in structural equations modeling. Educational and psychological measurement, 55(3), 394–406.
  • Beckem, J. M., & Watkins, M. (2012). Bringing life to learning: Immersive experiential learning simulations for online and blended courses. Journal of Asynchronous Learning Networks, 16(5), 61-70.
  • Bernardi, R. A. (1994). Validating research results when Cronbach's alpha is below. 70: A methodological procedure. Educational and Psychological Measurement, 54(3), 766-775.
  • Bessonova, E., & Battalov, R. (2020). Digitalization as a tool for innovative economic development. Economic Annals-XXI, 186.
  • Bingimlas, K. A. (2009). Barriers to the successful integration of ICT in teaching and learning environments: A review of the literature. Eurasia Journal of Mathematics, science and technology education, 5(3), 235-245.
  • Boschman, F., McKenney, S., & Voogt, J. (2014). Understanding decision making in teachers’ curriculum design approaches. Educational technology research and development, 62, 393-416.
  • Brown, J. S. (2001). Learning in the digital age. In The Internet and the university: Forum (pp. 71-72).
  • Bullock, S. M. (2013). Using digital technologies to support self-directed learning for preservice teacher education. Curriculum Journal, 24(1), 103-120.
  • Chuc, N. D., & Anh, D. T. (2023). Digital Transformation in Vietnam. Journal of Southeast Asian Economies, 40(1), 127-144.
  • Cordova, M. (2023, March). Work in Progress: Foundation of the need for the development of digital skills in Engineering professors. In 2023 IEEE World Engineering Education Conference (EDUNINE) (pp. 1-4). IEEE.
  • Corrall, S. (2012). Roles and responsibilities: Libraries, librarians and data. Managing research data, 105-133.
  • Damşa, C., Nerland, M., & Andreadakis, Z. E. (2019). An ecological perspective on learner‐constructed learning spaces. British Journal of Educational Technology, 50(5), 2075-2089.
  • Dečman, N., & Rep, A. (2022). Digitalization in Teaching Economic Disciplines: Past, Current and Future Perspectives. Business Systems Research: International journal of the Society for Advancing Innovation and Research in Economy, 13(2), 1-7.
  • Do, M. H., & Huang, Y. F. (2023). Barriers to university social responsibility implementation in the Vietnamese higher education. International Journal of Educational Management, 37(3), 647-661.
  • dos Santos, P. M., & Cirillo, M. Â. (2023). Construction of the average variance extracted index for construct validation in structural equation models with adaptive regressions. Communications in Statistics-Simulation and Computation, 52(4), 1639-1650.
  • Etikan, I., & Bala, K. (2017). Sampling and sampling methods. Biometrics & Biostatistics International Journal, 5(6), 00149.
  • Fabrigar, L. R., & Wegener, D. T. (2011). Exploratory factor analysis. Oxford University Press.
  • Falloon, G. (2020). From digital literacy to digital competence: the teacher digital competency (TDC) framework. Educational Technology Research and Development, 68, 2449-2472.
  • Ferrer, J., Ringer, A., Saville, K., A Parris, M., & Kashi, K. (2022). Students’ motivation and engagement in higher education: The importance of attitude to online learning. Higher Education, 83(2), 317-338.
  • Fishman, B., Dede, C., & Means, B. (2016). Teaching and technology: New tools for new times. Handbook of research on teaching, 5, 1269-1334.
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
  • Gallagher, N., Mall, D., Cotterill, S., & Valentine, R. A. (2016). Facilitating engagement and interaction in teamwork: an online tool. MedEdPublish, 5(67), 67. https://doi.org/10.15694/mep.2016.000067
  • Granquist, L. (1995). Improving the traditional editing process. Business survey methods, 385-401.
  • Guo, N. (2023). Analyzing students’ adaptability for online education. Advances in Education, Humanities and Social Science Research, 5(1), 321-321.
  • Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135.
  • Hoai, N. T., Duy, L. V. Q., & Cassells, D. (2023). Internationalization as a strategy to enhance higher education quality in Vietnam–reflections from university leaders. The Learning Organization, 30(5), 554-570.
  • Ibikunle, P., Rhoda, A., & Smith, M. (2021). Structural validity and reliability of the return to work assessment scale among post stroke survivors. Work, 69(3), 969-979.
  • Instefjord, E., & Munthe, E. (2016). Preparing pre-service teachers to integrate technology: an analysis of the emphasis on digital competence in teacher education curricula. European Journal of Teacher Education, 39(1), 77-93.
  • Jöreskog, K. G., & Sörbom, D. (1993). LISREL 8: Structural equation modeling with the SIMPLIS command language. Scientific software international.
  • Kakade, S. V., Salunkhe, J. A., Jagadale, V. B., & Bhosale, T. S. (2018). Principal Components Analysis a method Useful in Identification of Clusters of Variables. International Journal of Innovative Science and Research Technology, 3(5), 239-244.
  • Kek, M. Y. C. A., & Huijser, H. (2011). The power of problem‐based learning in developing critical thinking skills: preparing students for tomorrow’s digital futures in today’s classrooms. Higher Education Research & Development, 30(3), 329-341.
  • Kosovskih, S., Filonova, L., & Usynina, N. (2020, January). Mathematical Education as Key Aspect for Human Resources Enhancement in Digital Economy. In Ecological-Socio-Economic Systems: Models of Competition and Cooperation (ESES 2019) (pp. 292-295). Atlantis Press.
  • Lall, S. (2001). National strategies for technology adoption in the industrial sector: Lessons of recent experience in the developing regions. Human Development Report, 1-82.
  • Lamsal, B. (2022). Exploring issues surrounding a safe and conducive digital learning space in Nepal: A preparation for online education in the post-pandemic era. In Socioeconomic Inclusion During an Era of Online Education (pp. 246-263). IGI Global.
  • Macfarlane, B. (2010). Researching with integrity: The ethics of academic enquiry. Routledge.
  • Malhotra, N. K. (2020). Marketing research: an applied prientation. pearson.
  • Margaryan, A., Littlejohn, A., & Vojt, G. (2011). Are digital natives a myth or reality? University students’ use of digital technologies. Computers & education, 56(2), 429-440.
  • Martin, E. (2006). Survey questionnaire construction. Survey methodology, 13, 1-13.
  • McKnight, K., O'Malley, K., Ruzic, R., Horsley, M. K., Franey, J. J., & Bassett, K. (2016). Teaching in a digital age: How educators use technology to improve student learning. Journal of research on technology in education, 48(3), 194-211.
  • Merriam, S. B., & Baumgartner, L. M. (2020). Learning in adulthood: A comprehensive guide. John Wiley & Sons.
  • Mian, S. H., Salah, B., Ameen, W., Moiduddin, K., & Alkhalefah, H. (2020). Adapting universities for sustainability education in industry 4.0: Channel of challenges and opportunities. Sustainability, 12(15), 6100.
  • Ngoasong, M. Z. (2018). Digital entrepreneurship in a resource-scarce context: A focus on entrepreneurial digital competencies. Journal of Small Business and Enterprise Development, 25(3), 483-500.
  • Nguyen, T. M. P. (2023). Factors affecting the adoption of online database systems for learning among students at economics Universities in Vietnam. European Journal of Investigation in Health, Psychology and Education, 13(5), 820-835.
  • Núñez-Canal, M., de Obesso, M. D. L. 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, 121270.
  • Oosterveld, P. (1996). Questionnaire design methods. Berkhout Nijmegen BV.
  • Pesha, A. (2022). The development of digital competencies and digital literacy in the 21st century: A survey of studies. Education and Self Development, 17(1), 201-220.
  • Pham, T. T. (2023, July). Digital Access, Usage, and Educational Outcomes: Evidence from Vietnam. In Proceedings of the Tenth ACM Conference on Learning@ Scale (pp. 267-271).
  • Prideaux, D. (2003). Curriculum design. Bmj, 326(7383), 268-270.
  • Quispe Mera, Álex G., Tonato Velasco, M. T., Quispe Mera, F. P., & Quispe Mera, V. E. (2023). Risk management in rural development and land use planning: the case of San Lorenzo, Esmeraldas – Ecuador. Espirales Revista Multidisciplinaria De investigación, 7(44). https://doi.org/10.31876/er.v6i44.833.
  • Rafi, M., JianMing, Z., & Ahmad, K. (2019). Evaluating the impact of digital library database resources on the productivity of academic research. Information discovery and delivery, 47(1), 42-52.
  • Rashid, T., & Asghar, H. M. (2016). Technology use, self-directed learning, student engagement and academic performance: Examining the interrelations. Computers in human behavior, 63, 604-612.
  • Raykov, T. (1997). Estimation of composite reliability for congeneric measures. Applied Psychological Measurement, 21(2), 173–184.
  • Rojewski, J. (2002). Preparing the workforce of tomorrow: A conceptual framework for career and technical education. Journal of Vocational Education Research, 27(1), 7-35.
  • Romero-Tena, R., Barragán-Sánchez, R., Llorente-Cejudo, C., & Palacios-Rodríguez, A. (2020). The challenge of initial training for early childhood teachers. A cross sectional study of their digital competences. Sustainability, 12(11), 4782.
  • Salvi, A., Sarkar, S., Shandilya, M., & Pathak, S. R. (2023). Advanced data handling tools for easy, fast, and accurate interpretation of spectroscopic data. In Advanced Spectroscopic Methods to Study Biomolecular Structure and Dynamics (pp. 503-520). Academic Press.
  • Sarva, E., Lāma, G., Oļesika, A., Daniela, L., & Rubene, Z. (2023). Development of Education Field Student Digital Competences—Student and Stakeholders’ Perspective. Sustainability, 15(13), 9895.
  • Schweighofer, P., Grünwald, S., & Ebner, M. (2015). Technology-enhanced learning and the digital economy: a literature review. Economics: Concepts, Methodologies, Tools, and Applications, 20-33.
  • Shawky, D., Badawi, A., Said, T., & Hozayin, R. (2014, December). Affordances of computer-supported collaborative learning platforms: a systematic review. In 2014 international conference on interactive collaborative learning (ICL) (pp. 633-651). IEEE.
  • Sikes, P., & Piper, H. (2010). Ethical research, academic freedom and the role of ethics committees and review procedures in educational research. International Journal of Research & Method in Education, 33(3), 205-213.
  • Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson.
  • Tan, J. P. L., Choo, S. S., Kang, T., & Liem, G. A. D. (2017). Educating for twenty-first century competencies and future-ready learners: research perspectives from Singapore. Asia Pacific Journal of Education, 37(4), 425-436.
  • Tennant, A., & Pallant, J. F. (2012). The root mean square error of approximation (RMSEA) as a supplementary statistic to determine fit to the Rasch model with large sample sizes. Rasch Measurement Transactions, 25(4), 1348-1349.
  • Tran, T. G., Hoang, T. D., Le, T. P. T., Luong, D. H., & Nguyen, X. A. (2022). Readiness of Vietnamese High Schools for Digital Transformation and Its Influencing Factors: A Quantitative Study. Asian Research Journal of Arts & Social Sciences, 157-171.
  • Valverde-Berrocoso, J., Fernández-Sánchez, M. R., Revuelta Dominguez, F. I., & Sosa-Díaz, M. J. (2021). The educational integration of digital technologies preCovid-19: Lessons for teacher education. PloS one, 16(8), e0256283.
  • Van Duy, L. (2023). A Review of Digital Economy and Digital Economics. Vietnam Journal of Agricultural Sciences, 6(1), 1745-1753.
  • Vaske, J. J., Beaman, J., & Sponarski, C. C. (2017). Rethinking internal consistency in Cronbach's alpha. Leisure sciences, 39(2), 163-173.
  • Voskresenskaya, E., Vorona-Slivinskaya, L., & Achba, L. (2020). Digital economy: theoretical and legal enforcement issues in terms of regional aspect. In E3S Web of Conferences (Vol. 164, p. 09016). EDP Sciences.
  • Warschauer, M., & Matuchniak, T. (2010). New technology and digital worlds: Analyzing evidence of equity in access, use, and outcomes. Review of research in education, 34(1), 179-225.
  • West, D. M. (2012). Digital schools: How technology can transform education. Brookings Institution Press.
  • Wickramasinghe, W. M., Athukorala, P. P., Senarathne, S. G., & Yapa, Y. P. (2023). Examine the Reliability of Econometrics Software: An Empirical Comparison of Time Series Modelling. Open Journal of Statistics, 13(1), 25-45.
  • Zhao, Y., Zhao, M., & Shi, F. (2023). Integrating Moral Education and Educational Information Technology: A Strategic Approach to Enhance Rural Teacher Training in Universities. Journal of the Knowledge Economy, 1-41.
  • Zhyvko, Z., & Petrukha, N. (2023). Formation and development of digital competencies in the conditions of digitalization of society. The development of innovations and financial technology in the digital economy, 62-85.
There are 75 citations in total.

Details

Primary Language English
Subjects Education Management
Journal Section Research Articles
Authors

Tran Thi Thuy Ngoc This is me 0009-0000-8117-6101

Nguyen Nghi Thanh 0000-0002-0791-8063

Early Pub Date September 6, 2025
Publication Date September 1, 2025
Submission Date November 3, 2024
Acceptance Date May 13, 2025
Published in Issue Year 2025 Volume: 12 Issue: 5

Cite

APA Ngoc, T. T. T., & Nghi Thanh, N. (2025). Factors Contribute to Developing Digital Competencies in Economics Education in Vietnamese Universities: Evidence from A Lecturer Survey. Participatory Educational Research, 12(5), 23-42. https://doi.org/10.17275/per.25.62.12.5