Conhecimento e valorização das microcredenciais em estudantes universitários em linha: evidência preditiva a partir do Equador
DOI:
https://doi.org/10.35362/rie10117365Palavras-chave:
microcredenciais, empregabilidad, ensino superior, educação a distância, desempenho do estudanteResumo
A expansão das microcredenciais contrasta com o escasso conhecimento empírico sobre os factores que determinam a sua valorização no ensino superior. Este estudo examinou, em 129 estudantes do nono ciclo de Educação Básica em linha da UNEMI (Equador), em que medida o conhecimento conceptual (X₁) e a empregabilidade percecionada (X₃) predizem a valorização destas certificações mediante desenho quantitativo não experimental transversal. O instrumento ECVM-26 foi validado com V de Aiken = .926 e α = .990. A valorização global revelou-se favorável (M = 3.93/5), sendo a utilidade académica a dimensão mais elevada (M = 4.04). A empregabilidade percecionada constituiu o único preditor significativo (r = .944, p < .001; β = 1.429, p < .001; R² = .892). A análise de mediação com bootstrap de Monte Carlo (50 000 iterações) confirmou que o conhecimento opera exclusivamente através da empregabilidade percecionada (efeito indirecto = 0.289, IC 95 % [0.215; 0.363]; Sobel z = 7.71, p < .001), sem via directa significativa (β = −0.006, p = .757). Género e situação laboral não exerceram qualquer efeito. Os resultados sustentam a teoria da sinalização educativa e implicam que a adopção de microcredenciais requer articulação explícita com competências laborais reconhecíveis.
Downloads
Referências
Acemoglu, D., y Restrepo, P. (2022). Tasks, automation, and the rise in US wage inequality. Econometrica, 90(5), 1973–2016. https://doi.org/10.3982/ECTA19815 DOI: https://doi.org/10.3982/ECTA19815
Aguinis, H., Beaty, J. C., Boik, R. J., y Pierce, C. A. (2005). Effect size and power in assessing moderating effects of categorical variables using multiple regression: A 30-year review. Journal of Applied Psychology, 90(1), 94–107. https://doi.org/10.1037/0021-9010.90.1.94 DOI: https://doi.org/10.1037/0021-9010.90.1.94
Aiken, L. R. (1985). Three coefficients for analyzing the reliability and validity of ratings. Educational and Psychological Measurement, 45(1), 131–142. https://doi.org/10.1177/0013164485451012 DOI: https://doi.org/10.1177/0013164485451012
American Psychological Association [APA]. (2020). Publication manual of the American Psychological Association (7.ª ed.). American Psychological Association. https://doi.org/10.1037/0000165-000 DOI: https://doi.org/10.1037/0000165-000
Banco Mundial. (2022). Closing the skills gap: New options for higher education in Latin America and the Caribbean. World Bank Group. https://openknowledge.worldbank.org/handle/10986/37617
Baron, R. M., y Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. https://doi.org/10.1037/0022-3514.51.6.1173 DOI: https://doi.org/10.1037//0022-3514.51.6.1173
Brown, M., Nic Giolla Mhichíl, M., Beirne, E., y Mac Lochlainn, C. (2021). The global micro-credential landscape: Charting a new credential ecology for lifelong learning. Journal of Learning for Development, 8(2), 228–254. https://doi.org/10.56059/jl4d.v8i2.525 DOI: https://doi.org/10.56059/jl4d.v8i2.525
Cabero-Almenara, J., Gutiérrez-Castillo, J. J., Guillén-Gámez, F. D., y Gaete-Bravo, A. F. (2023). Digital competence of higher education students as a predictor of academic success. Technology, Knowledge and Learning, 28(2), 683–702. https://doi.org/10.1007/s10758-022-09624-8 DOI: https://doi.org/10.1007/s10758-022-09624-8
Castaño-Muñoz, J., Kreijns, K., Kalz, M., y Punie, Y. (2017). Does digital competence and occupational setting influence MOOC participation? Evidence from a cross-course survey. Journal of Computing in Higher Education, 29(1), 28–46. https://doi.org/10.1007/s12528-016-9123-z DOI: https://doi.org/10.1007/s12528-016-9123-z
Centro Europeo para el Desarrollo de la Formación Profesional [Cedefop]. (2020). Briefing note: Skills forecast 2020—Key trends to 2030. Publications Office of the European Union. https://go.oei.int/jp9luxwq
Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159. https://doi.org/10.1037/0033-2909.112.1.155 DOI: https://doi.org/10.1037/0033-2909.112.1.155
Comisión Europea. (2022). A European approach to micro-credentials for lifelong learning and employability. Publications Office of the European Union. https://education.ec.europa.eu/education-levels/higher-education/micro-credentials
Coursera. (2025). Micro-credentials impact report 2025 [Informe técnico]. Coursera Inc. https://go.oei.int/8y6fltmm
Creswell, J. W., y Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5.ª ed.). SAGE Publications.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/BF02310555 DOI: https://doi.org/10.1007/BF02310555
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008 DOI: https://doi.org/10.2307/249008
DeVellis, R. F., y Thorpe, C. T. (2022). Scale development: Theory and applications (5.ª ed.). SAGE Publications.
Eccles, J. S., Wigfield, A., Flanagan, C. A., Miller, C., Reuman, D. A., y Yee, D. (1989). Self-concepts, domain values, and self-esteem: Relations and changes at early adolescence. Journal of Personality, 57(2), 283–310. https://doi.org/10.1111/j.1467-6494.1989.tb00484.x DOI: https://doi.org/10.1111/j.1467-6494.1989.tb00484.x
Ehlers, U. D., y Kellermann, S. A. (2019). Future skills: The future of learning and higher education. Steinbeis-Edition.
Escurra, L. M. (1988). Cuantificación de la validez de contenido por criterio de jueces. Revista de Psicología de la Pontificia Universidad Católica del Perú, 6(1–2), 103–111. DOI: https://doi.org/10.18800/psico.198801-02.008
Eysenbach, G., y Till, J. E. (2001). Ethical issues in qualitative research on internet communities. British Medical Journal, 323(7321), 1103–1105. https://doi.org/10.1136/bmj.323.7321.1103 DOI: https://doi.org/10.1136/bmj.323.7321.1103
Field, A. (2018). Discovering statistics using IBM SPSS Statistics (5.ª ed.). SAGE Publications.
Gasskov, V. (2021). Bridging the skills gap with micro-credentials: An international comparative study. International Journal of Training and Development, 25(4), 342–361. https://doi.org/10.1111/ijtd.12227
González-Pérez, L. I., y Ramírez-Montoya, M. S. (2022). Components of education 4.0 in 21st century skills frameworks: Systematic review. Sustainability, 14(3), 1493. https://doi.org/10.3390/su14031493 DOI: https://doi.org/10.3390/su14031493
Guo, J., Marsh, H. W., Parker, P. D., y Dicke, T. (2018). Cross-cultural generalizability of social and dimensional comparison effects on reading, math, and science self-concepts for primary school students using the combined PIRLS and TIMSS data. Learning and Instruction, 58, 210–219. https://doi.org/10.1016/j.learninstruc.2018.07.007 DOI: https://doi.org/10.1016/j.learninstruc.2018.07.007
Hair, J. F., Black, W. C., Babin, B. J., y Anderson, R. E. (2019). Multivariate data analysis (8.ª ed.). Cengage Learning.
Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (2.ª ed.). The Guilford Press.
Hermida, P., y Petrovic, N. (2023). Brechas de habilidades en los trabajadores jóvenes en Ecuador. Cuestiones Económicas, 33(2). https://doi.org/10.47550/RCE/33.2.1 DOI: https://doi.org/10.47550/RCE/33.2.1
Hernández-Sampieri, R., Fernández-Collado, C., y Baptista-Lucio, P. (2014). Metodología de la investigación (6.ª ed.). McGraw-Hill.
Hockings, C., Thomas, L., Ottaway, J., y Jones, R. (2018). Independent learning – what we do when you’re not there. Teaching in Higher Education, 23(2), 145–161. https://doi.org/10.1080/13562517.2017.1332031 DOI: https://doi.org/10.1080/13562517.2017.1332031
Instituto Nacional de Estadística y Censos [INEC]. (2025). Encuesta nacional de empleo, desempleo y subempleo (ENEMDU): Resultados enero 2025. INEC Ecuador. https://go.oei.int/6h9hrfsh
Johan, R. C., Rullyana, G., Susilana, R., y Emilzoli, M. (2024). Micro-credentials in higher education: A review and bibliometric. Journal of Education and Learning (EduLearn), 19(2), 1103–1116. https://doi.org/10.11591/edulearn.v19i2.21281 DOI: https://doi.org/10.11591/edulearn.v19i2.21281
Ley Orgánica de Protección de Datos Personales [LOPDP]. (2021). Ley Orgánica de Protección de Datos Personales del Ecuador. Registro Oficial Suplemento 459, 26 de mayo de 2021. Asamblea Nacional del Ecuador. https://go.oei.int/3f88socd
Mateo-Berganza Díaz, M. M., Lim, J. R., Cardenas Navia, I., y Elzey, K. (2022). A world of transformation: Moving from degrees to skills-based alternative credentials. Banco Interamericano de Desarrollo. https://doi.org/10.18235/0004299 DOI: https://doi.org/10.18235/0004299
Maxwell, S. E., y Cole, D. A. (2007). Bias in cross-sectional analyses of longitudinal mediation. Psychological Methods, 12(1), 23–44. https://doi.org/10.1037/1082-989X.12.1.23 DOI: https://doi.org/10.1037/1082-989X.12.1.23
McGreal, R., y Olcott, D. (2022). A strategic reset: Micro-credentials for higher education leaders. Smart Learning Environments, 9(1), 9. https://doi.org/10.1186/s40561-022-00190-1 DOI: https://doi.org/10.1186/s40561-022-00190-1
Nunnally, J. C. (1978). Psychometric theory (2.ª ed.). McGraw-Hill.
Oliver, B. (2019). Making micro-credentials work for learners, employers and providers. Deakin University. https://go.oei.int/wruz6qgu
Organización de Estados Iberoamericanos [OEI]. (2022). Panorama de las microcredenciales en educación superior de Iberoamérica. OEI. https://go.oei.int/u6gnip6e
Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura [UNESCO-IESALC]. (2025). Micro-credentials for lifelong learning and development. UNESCO-IESALC. https://go.oei.int/unsa5eem
Orr, D., Weller, M., y Farrow, R. (2019). How is digitalisation affecting the flexibility and openness of higher education provision? Results of a global survey using a new conceptual model. Journal of Interactive Media in Education, 2019(1). https://doi.org/10.5334/jime.523 DOI: https://doi.org/10.5334/jime.523
Ralston, S. J. (2021). Higher education’s microcredentialing craze: A postdigital-Deweyan critique. Postdigital Science and Education, 3(1), 83–101. https://doi.org/10.1007/s42438-020-00121-8 DOI: https://doi.org/10.1007/s42438-020-00121-8
Rama, C. (2021). La nueva educación híbrida. Cuadernos de Universidades. Unión de Universidades de América Latina y el Caribe (UDUAL).
Reglamento General de Protección de Datos [GDPR]. (2016). Reglamento (UE) 2016/679 del Parlamento Europeo y del Consejo. Diario Oficial de la Unión Europea, L 119, 1–88. https://www.boe.es/doue/2016/119/L00001-00088.pdf
Richardson, M., Abraham, C., y Bond, R. (2012). Psychological correlates of university students’ academic performance: A systematic review and meta-analysis. Psychological Bulletin, 138(2), 353–387. https://doi.org/10.1037/a0026838 DOI: https://doi.org/10.1037/a0026838
Rullyana, G., Siregar, E., y Kustandi, C. (2025). Research trends on micro-credentials in higher education: A bibliometric analysis using Scopus and WoS databases. Journal of Learning for Development, 12(3), 484–500. https://doi.org/10.56059/jl4d.v12i3.1950 DOI: https://doi.org/10.56059/jl4d.v12i3.1950
Secretaría de Educación Superior, Ciencia, Tecnología e Innovación [SENESCYT]. (2022). Estadísticas de educación superior, ciencia, tecnología e innovación. SENESCYT. https://www.senescyt.gob.ec/estadisticas
Spence, A. M. (1973). Job market signaling. Quarterly Journal of Economics, 87(3), 355–374. https://doi.org/10.2307/1882010 DOI: https://doi.org/10.2307/1882010
Venkatesh, V., Morris, M. G., Davis, G. B., y Davis, F. D. (2003). User acceptance of information technology: Toward a unified theory. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540 DOI: https://doi.org/10.2307/30036540
Vroom, V. H. (1964). Work and motivation. Wiley.
Wheelahan, L., y Moodie, G. (2021). Gig qualifications for the gig economy: Micro-credentials and the ‘hungry mile.’ Higher Education, 83(6), 1279–1295. https://doi.org/10.1007/s10734-021-00742-3 DOI: https://doi.org/10.1007/s10734-021-00742-3
Wigfield, A., y Eccles, J. S. (2000). Expectancy–value theory of achievement motivation. Contemporary Educational Psychology, 25(1), 68–81. https://doi.org/10.1006/ceps.1999.1015 DOI: https://doi.org/10.1006/ceps.1999.1015
World Economic Forum. (2023). Future of jobs report 2023. World Economic Forum. https://go.oei.int/eql84osl
World Medical Association. (2013). Declaration of Helsinki: Ethical principles for medical research involving human subjects. JAMA, 310(20), 2191–2194. https://doi.org/10.1001/jama.2013.281053 DOI: https://doi.org/10.1001/jama.2013.281053
Yavas Celik, G., y Toprak, E. (2026). Micro-credentials in higher education: A systematic review for quality aspects. Turkish Online Journal of Distance Education, 27(1), 103–134. https://doi.org/10.17718/tojde.1651469 DOI: https://doi.org/10.17718/tojde.1651469
Zawacki-Richter, O., Marín, V. I., Bond, M., y Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1). https://doi.org/10.1186/s41239-019-0171-0 DOI: https://doi.org/10.1186/s41239-019-0171-0
Como Citar
Downloads
Publicado
Edição
Secção
Licença
Direitos de Autor (c) 2026 Revista Ibero-americana de Educação

Este trabalho encontra-se publicado com a Licença Internacional Creative Commons Atribuição 4.0.
Os(as) autores(as) que publiquem nesta revista concordam com os seguintes termos:





