Management of a virtual educational platform with artificial intelligence and its functional suitability in the learning process

Authors

DOI:

https://doi.org/10.31637/epsir-2025-694

Keywords:

management, virtual educational platform, artificial intelligence, learning, ISO 25010, functional suitability, higher education, field study

Abstract

Introduction: Currently, there is a whole perspective of acceptance or rejection of the use of Artificial Intelligence (AI) in education. Hence, the approach to integrating AI into virtual educational platforms arises. Methodology: The study proposes an applied investigation of the use of a virtual educational platform with AI (Pv-IA) to manage academic courses efficiently and effectively. This responds to be evaluated through a field study applying an ad hoc survey that is aligned with the functional suitability characteristic of the ISO/IEC 25010 Standard. Results: The descriptive and statistical analysis of the study shows: for the functional completeness dimension that , 100% totally agreed that Pv-AI provides a high degree of functionality to carry out academic teaching-learning activities. In relation to functional correction, the respondents respond Totally agree for 72.55%, emphasizing that the results obtained from the activities in the Pv-IA depend directly on the teacher/student's ability to use it appropriately. Finally, for the relevance dimension, 88.23% respond Totally agree with the achievement of academic objectives. Discussion: A Pv-AI allows the management of the educational process to benefit. Conclusions: The proposed hypothesis is accepted.

Downloads

Download data is not yet available.

Author Biography

Luz María Hernández Cruz, Autonomous University of Campeche

Professional Training Computer Systems Engineer from the Universidad Autónoma de Campeche, Master's degree in Information Technology Management from the Universidad del Mayab and PhD in Projects from the Universidad Internacional Iberoamericana. In Mexico, I have taught at various higher and postgraduate educational institutions. In the field of scientific research I have PRODEP Recognition and I am a member of the Academic Body UNACAM-CA-60 Computer Science awarded by the Ministry of Public Education of the Government of Mexico. The thematic networks to which I belong: Mexican Network of Software Engineering, Network of Scientific Researchers of Latin America and the Caribbean, Latin American Network for the Advancement of Science, and Network of Women in ICT.

References

Aparicio Gómez, W. O. (2023). La Inteligencia Artificial y su Incidencia en la Educación: Transformando el Aprendizaje para el Siglo XXI. Revista Internacional de Pedagogía e Innovación Educativa, 3(2), 217-230. https://doi.org/10.51660/ripie.v3i2.133 DOI: https://doi.org/10.51660/ripie.v3i2.133

Bolaño García, M. y Duarte Acosta, N. (2024). Una revisión sistemática del uso de la inteligencia artificial en la educación. Revista Colombiana de Cirugía, 39(1), 51-63. https://doi.org/10.30944/20117582.2365 DOI: https://doi.org/10.30944/20117582.2365

Chávez Granizo, G. P., Castro Game, J. K., Ibarra Martínez, M. A. y Tobar Flores, Y. F. (2024). La inteligencia artificial en la educación superior: oportunidades y amenazas. RECIAMUC, 8(1), 71-79. https://doi.org/10.26820/reciamuc/8.(1).ene.2024.71-79 DOI: https://doi.org/10.26820/reciamuc/8.(1).ene.2024.71-79

Cornejo Plaza, I. y Cippitani, R. (2023). Consideraciones éticas y jurídicas de la IA en Educación Superior: Desafíos y Perspectivas. Revista de Educación y Derecho, 28. https://bit.ly/3WgzmVZ DOI: https://doi.org/10.1344/REYD2023.28.43935

Costa, S. (Ed.). (2023). Inteligencia artificial en la economía: impulsando la transformación digital. Editor Santos Costa.

Costa, S. (Ed.). (2023). Inteligencia artificial y personalización educativa: enfoques, beneficios y desafíos. Editor Santos Costa.

Cwi, M. E. (2024). La Inteligencia artificial llegó a la escuela: explorando con los chatbots en el aula. Ediciones Novedades Educativas.

Del Río Lobato, M. (2024). Impacto del Trinomio TIC-IA-Multimedia en la Creación de Recursos Musicales por Futuros Docentes de Primaria. European Public & Social Innovation Review, 9, 1-16. http://doi.org/10.31637/epsir-2024-290 DOI: https://doi.org/10.31637/epsir-2024-328

Fuenmayor, J. (2024). Editorial. La educación superior en la era de la IA, principales tendencias y desafíos. Revista de Ciencias Sociales, XXX(2), 9-13. https://bit.ly/3LeMBRK

Galíndez Pérez, J. L. (2024). Uso de la Inteligencia Artificial y el Metaverso: Optimización de estrategias para la aplicación de la Nuevas Tecnologías en diversas áreas del conocimiento. Revista Latinoamericana de Difusión Científica, 6(10), 316-328. https://doi.org/10.38186/difcie.610.18 DOI: https://doi.org/10.38186/difcie.610.18

IBM. (2024). Paquete de software estadístico IBM SPSS. https://www.ibm.com/mx-es/spss

ISO 25000. (2022). ISO/IEC 25010. https://bit.ly/3xRgh4h

Mera Ramos, N. C., Cashabamba Chipantiza, V. L., Santamaria Rodríguez, M. A. e Ibarra Villafuerte, L. F. (2024). La inteligencia artificial en el nivel inicial y preparatoria. Sinergia Académica, 7(Especial 4), 277-287. https://doi.org/10.51736/sa.v7iEspecial4.306

Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura. (2024). El uso de la IA en la educación: decidir el futuro que queremos. https://bit.ly/3RVH0n6

Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura. (2024). La inteligencia artificial en la educación. https://bit.ly/4bG7MXv

Pereyra, M. M. (2023). IA generativa, educación superior y comunicación: los desafíos por venir. Question/Cuestión, 3(76), 1-13. https://doi.org/10.24215/16696581e858 DOI: https://doi.org/10.24215/16696581e858

Reyes Méndez, J. J. (2023). La Inteligencia Artificial en el Aula: Promoción de Inclusión, Equidad y Calidad Educativa. En E. Ruiz Velasco y J. Bárcenas López (Eds.), Inteligencia Artificial para la transformación de la educación (pp. 14-23). SOMECE.

Segovia García, N. (2024). Optimización de la atención estudiantil: una revisión del uso de chatbots e IA en la educación superior. European Public y Social Innovation Review, 9, 1-20. https://doi.org/10.31637/epsir-2024-324 DOI: https://doi.org/10.31637/epsir-2024-1135

Torres Cruz, E., Ibañez Quispe, V., Mendoza Mollocondo, C. I., Bejar Muñoz, P., Flores Chipana, G. J., Supo Gutierrez, J. A., Puma Huaman, B. y Mamani Luque, O. M. (2023). Propuesta metodológica en la enseñanza universitaria con la inteligencia artificial. En Abordagens sobre ensino-aprendizagem e formação de profesores (pp. 129-140). Editora Científica Digital. DOI: https://doi.org/10.37885/230613271

UACAM. (2024). Universidad Autónoma de Campeche. https://www.uacam.mx/

UNESCO. (2024). La inteligencia artificial en la educación. https://bit.ly/4bG7MXv

UNESCO. (2024). El uso de la IA en la educación: decidir el futuro que queremos. https://bit.ly/3RVH0n6

Usart Rodríguez, M. (2023). Tecnologías digitales e inteligencia artificial: evidencias de su efectividad en educación. Innovaciones Educativas, 25, 7-12. https://doi.org/10.22458/ie.v25iespecial.5084 DOI: https://doi.org/10.22458/ie.v25iEspecial.5084

Downloads

Published

2024-11-28

How to Cite

Hernández Cruz, L. M. (2024). Management of a virtual educational platform with artificial intelligence and its functional suitability in the learning process. European Public & Social Innovation Review, 10, 1–17. https://doi.org/10.31637/epsir-2025-694

Issue

Vol. 10 (2025)

Section

Education

License

Copyright (c) 2024 Luz María Hernández Cruz

Creative Commons License

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

Authors who publish with this journal agree to the following terms:
  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Non Commercial, No Derivatives Attribution 4.0. International (CC BY-NC-ND 4.0.), that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).