Ambiente virtual accesible basado en aprendizaje en retos: evaluación de la usabilidad, la inclusión y la percepción del aprendizaje en una telesecundaria de Veracruz, México
DOI:
https://doi.org/10.35622/j.rie.2026.03.004Palabras clave:
aprendizaje activo, aprendizaje en línea, educación inclusiva, enseñanza secundaria, tecnología educacionalResumen
En la educación secundaria, la incorporación de ambientes virtuales de aprendizaje enfrenta desafíos relacionados con la accesibilidad, la participación equitativa y la atención a la diversidad del estudiantado. En ese sentido, el objetivo fue evaluar la implementación de un ambiente virtual de aprendizaje accesible, basado en el Aprendizaje Basado en Retos, considerando la usabilidad, la accesibilidad, la adaptabilidad y la percepción del aprendizaje en estudiantes de educación secundaria. Se desarrolló bajo un enfoque cuantitativo de alcance descriptivo, en el marco de una intervención educativa. La muestra se integró por 28 estudiantes de una telesecundaria del municipio de Xalapa, Veracruz, México. La intervención se desarrolló en cinco fases: diagnóstico, diseño bajo los principios del Diseño Universal para el Aprendizaje, desarrollo, implementación y evaluación del AVA. Para la recolección de datos se empleó un cuestionario estructurado y la System Usability Scale (SUS). Los resultados mostraron un puntaje promedio de 84.6 en la escala SUS, lo que indica un nivel de usabilidad alto. Respecto a la accesibilidad, el 70% de los estudiantes reconoció que los recursos implementados fueron fáciles de aprender a utilizar; en cuanto a la adaptabilidad, el 80% confirmó que la plataforma le permitió personalizar su aprendizaje. Se concluye que el ambiente virtual implementado presentó niveles adecuados de usabilidad y una percepción favorable del aprendizaje, lo que evidencia su pertinencia como recurso educativo accesible y funcional para estudiantes de educación secundaria.
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Al-Azawei, A., Serenelli, F., & Lundqvist, K. (2016). Universal Design for Learning (UDL): A content analysis of peer reviewed journals from 2012 to 2015. Journal of the Scholarship of Teaching and Learning, 16(3), 39–56. https://doi.org/10.14434/josotl.v16i3.19295
Aljader, H. (2022). The impact of learning management systems on students' efficiency within blended higher education. Journal of the College of Basic Education, 28(115), 20–36.
Almanasreh, E., Moles, R., & Chen, T. F. (2019). Evaluation of methods used for estimating content validity. Research in social & administrative pharmacy: RSAP, 15(2), 214–221. https://doi.org/10.1016/j.sapharm.2018.03.066
Bangor, A., Kortum, P. T., & Miller, J. T. (2008). An empirical evaluation of the system usability scale. Intl. Journal of Human–Computer Interaction, 24(6), 574-594. https://doi.org/10.1080/10447310802205776
Bangor, A., Kortum, P., & Miller, J. (2008). An empirical evaluation of the system usability scale. International Journal of Human-Computer Interaction, 24(6), 574–594. https://doi.org/10.1080/10447310802205776
Bates, A. W. (2022). Teaching in a digital age: Guidelines for designing teaching and learning (3rd ed.). Tony Bates Associates Ltd. https://pressbooks.bccampus.ca/teachinginadigitalagev3m/
Bond, M., Bedenlier, S., Marín, V. I., & Händel, M. (2021). Emergency remote teaching in higher education: Mapping the first global online semester. International Journal of Educational Technology in Higher Education, 18(1), 50. https://doi.org/10.1186/s41239-021-00282-x
Bonilla Santamaría, K., & Ferra Torres, G. E. (2021). Comunidades virtuales e innovación: Propuestas desde la asesoría técnica pedagógica en la escuela telesecundaria. IE Revista de Investigación Educativa de la REDIECH, 12, e1102. https://doi.org/10.33010/ie_rie_rediech.v12i0.1102
Brooke, J. (1996). SUS: A quick and dirty usability scale. In P. W. Jordan, B. Thomas, B. A. Weerdmeester, & I. L. McClelland (Eds.), Usability evaluation in industry (pp. 189–194). CRC Press. Taylor & Francis.
Burgstahler, S. (2015). Universal design in higher education: From principles to practice (2nd ed.). Harvard Education Press.
CAST. (2018). Universal Design for Learning guidelines version 2.2. https://udlguidelines.cast.org/static/udlg2.2-text-a11y.pdf
CAST. (2024). Universal Design for Learning: Principles, framework, and practice (2nd ed.). CAST Professional Publishing.
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage.
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
Fidalgo-Blanco, Á., Sein-Echaluce, M. L., & García-Peñalvo, F. J. (2016). From massive access to cooperation: lessons learned and proven results of a hybrid xMOOC/cMOOC pedagogical approach to MOOCs. International journal of educational technology in higher education, 13(1), 24. https://doi.org/10.1186/s41239-016-0024-z
Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). Sage.
Gao, J., & Ismail, N. (2025). A systematic literature review on the relationship between smart learning environments and learning performance in higher education. Journal of Public Administration and Governance, 14(2S), 54–77. https://doi.org/10.5296/jpag.v14i2S.22589
Griful-Freixenet, J., Struyven, K., Verstichele, M., & Andries, C. (2017). Higher education students with disabilities speaking out: Perceived barriers and opportunities of the universal design for learning framework. Disability & Society, 32(10), 1627-1649. https://doi.org/10.1080/09687599.2017.1365695
Hernández Sampieri, R., Fernández Collado, C., & Baptista Lucio, M. (2014). Metodología de la investigación (6ª ed.). McGraw-Hill Education.
Hernández-de-Menéndez, M., Vallejo Guevara, A., Tudón Martínez, J. C., Hernández Alcántara, D., & Morales-Menendez, R. (2019). Active learning in engineering education. A review of fundamentals, best practices and experiences. International Journal on Interactive Design and Manufacturing (IJIDeM), 13(3), 909-922. https://doi.org/10.1007/s12008-019-00557-8
Hmelo-Silver, C. E. (2004). Problem-based learning: What and how do students learn? Educational Psychology Review, 16(3), 235–266. https://doi.org/10.1023/B:EDPR.0000034022.16470.f3
Holmes, W., Bialik, M., & Fadel, C. (2021). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
Huang, R., Spector, J. M., & Yang, J. (2019). Educational technology: A primer for the 21st century. Springer. https://doi.org/10.1007/978-981-13-6643-7
Islas Chagoya, E., & Lagunes Libreros, Y. I. (2026). Recursos multimedia para la práctica docente en educación telesecundaria: un área de oportunidad. LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades, 6(6), 2084–2101. https://doi.org/10.56712/latam.v6i6.5041
Ismailov, M., & Chiu, T. K. F. (2022). Catering to inclusion and diversity with universal design for learning in asynchronous online education: A self-determination theory perspective. Frontiers in Psychology, 13, 819884. https://doi.org/10.3389/fpsyg.2022.819884
Kizilcec, R. F., & Lee, H. (2022). Algorithmic fairness in education. In W. Holmes & K. Porayska-Pomsta (Eds.), The ethics of artificial intelligence in education: Practices, challenges, and debates (pp. 174–202). Routledge. https://doi.org/10.4324/9780429329067-10
Lombardi, M. M. (2007). Authentic learning for the 21st century: An overview. EDUCAUSE Learning Initiative. https://library.educause.edu/resources/2007/1/authentic-learning-for-the-21st-century-an-overview
Lomellini, A., Lowenthal, P. R., Snelson, C., & Trespalacios, J. H. (2025). Accessible and inclusive online learning in higher education: A review of the literature. Journal of Computing in Higher Education, 37(3), 1306-1329. https://doi.org/10.1007/s12528-024-09424-2
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education.
Martin, F., & Bolliger, D. U. (2018). Engagement matters: Student perceptions on the importance of engagement strategies in the online learning environment. Online Learning, 22(1), 205–222. https://doi.org/10.24059/olj.v22i1.1092
Means, B., Toyama, Y., Murphy, R., & Baki, M. (2013). The effectiveness of online and blended learning: A meta-analysis of the empirical literature. Teachers college record, 115(3), 1-47. https://doi.org/10.1177/016146811311500307
Miao, F., & Holmes, W. (2023). Guidance for generative AI in education and research. Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura. https://doi.org/10.54675/EWZM9535
Nichols, M., Cator, K., & Torres, M. (2016). Challenge based learner user guide. Digital Promise. https://portal.synapses-academies.eu/challenge-based-learning-guide-and-toolkit/
Novak, K. (2022). UDL now!: A teacher’s guide to applying universal design for learning in today’s classrooms (3rd ed.). CAST Professional Publishing. https://publishing.cast.org/catalog/books-products/udl-now-third-edition-novak
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
Prince, M. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93(3), 223–231. https://doi.org/10.1002/j.2168-9830.2004.tb00809.x
Ralph, M. C., Jiménez, L., Takemae, N., & Ristow, A. M. (2025). The syllabus is the system: Opportunities for UDL integration in course design. Journal of Education and Learning, 14(6), 1–20. https://doi.org/10.5539/jel.v14n6p1
Ramón, R., Edel-Navarro, R., & Figueroa-Rodríguez, S. (2021). Dimensões pedagógicas para o uso da internet na educação telesecundária. Revista Ibero-Americana de Estudos em Educação, 16(Esp. 1), 788-803. https://doi.org/10.21723/riaee.v16iEsp.1.14915
Rose, D. H., & Dalton, B. (2009). Learning to read in the digital age. Mind, Brain, and Education, 3(2), 74–83. https://doi.org/10.1111/j.1751-228X.2009.01057.x
Venkatesh, V., & Davis, F. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
World Wide Web Consortium. (2025). Web Content Accessibility Guidelines (WCAG) 2.1. W3C. https://www.w3.org/TR/WCAG21/
Zawacki-Richter, O., Marín, V. I., Bond, M., & 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), 39. https://doi.org/10.1186/s41239-019-0171-0
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Derechos de autor 2026 Alma Otero Escobar, Mayra Méndez Anota (Autor/a)
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
