Artificial intelligence as a tool for academic development in the business administration program at UTEQ

Authors

DOI:

https://doi.org/10.62697/rmiie.v4i3.229

Keywords:

Artificial intelligence, Telematics, higher education, adaptive learning, teacher training

Abstract

Artificial intelligence (AI) has become a key tool for academic development in the Business Administration program at the Quevedo State Technical University (UTEQ). This study analyzed its impact using a mixed approach, combining surveys of 150 students and 30 teachers, along with qualitative interviews. The results showed that 78% of students and 65% of teachers perceive benefits in AI integration, highlighting tools such as intelligent tutoring systems (85% acceptance) and adaptive platforms (72%). In addition, 70% of students reported improvements in their grades, and 80% valued immediate feedback. However, challenges such as lack of teacher training (40%) and resistance to change were identified. Statistical analysis revealed significant differences according to academic level and teaching experience (p < 0.05). These findings support the need for an implementation model that combines technological tools with continuous training, ensuring personalized and collaborative learning.

Downloads

Download data is not yet available.

Author Biography

Eddye Aurelio Alvarado-Reyes, Universidad Bolivariana. Ecuador.

 

 

References

Acosta-Servín, S., Veytia-Bucheli, M. G., & Cáceres-Mesa, M. L. (2025). Innovar en la práctica docente. Desarrollo de competencias digitales en la Licenciatura. Sophia Editions.

Baker, R. S., & Inventado, P. S. (2014). Educational data mining and learning analytic. En, R. Sawyer R. Handbook of educational data mining. (pp. 3-16). CRC Press.

Casimiro-Urcos, C. N., Casimiro-Urcos, W. H., Tobalino-López, D., Pareja-Pérez, L. B., Vegas-Palomino, E. M., & Montañez-Huancaya, A. P. (2025). Gamificación universitaria: Una experiencia sobre su impacto en el rendimiento académico. Sophia Editions.

Casimiro-Urcos, W. H., Casimiro-Urcos, C. N., Quinteros-Osorio, R. O., Tello-Conde, A. R., & Casimiro-Guerra, G. (2025). Docentes conectados: Evaluando las competencias digitales en la Educación Superior. Sophia Editions.

Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510

Huang, R., Spector, J. M., & Yang, J. (2019). Educational technology: A primer for the 21st century. Springer.

Kizilcec, R. F., Piech, C., & Schneider, E. (2013). Deconstructing disengagement: Analyzing learner subpopulations in massive open online courses. In Proceedings of the Third International Conference on Learning Analytics and Knowledge (LAK ’13) (pp. 170–179). ACM. https://doi.org/10.1145/2460296.2460330

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education.

Published

2025-08-29

How to Cite

Anda-Solms, W., Alvarado-Reyes, E. A., & Zúñiga-Delgado, M. S. (2025). Artificial intelligence as a tool for academic development in the business administration program at UTEQ. Revista Mexicana De Investigación E Intervención Educativa, 4(3), 161–166. https://doi.org/10.62697/rmiie.v4i3.229