Application of Artificial Intelligence for Management and Pedagogical Mediation in an Agroecological Interpretation Center

Authors

DOI:

https://doi.org/10.70577/asce.v5i2.864

Keywords:

artificial intelligence; agroecology; pedagogical mediation; educational robotics; experiential learning; Sustainability

Abstract

This study analyzes the incorporation of artificial intelligence as a tool to support pedagogical mediation in an Agroecological Interpretation Center with a robotic system, from a perspective of sustainability and socio-ecological complexity. Therefore, the research was conducted using a quantitative approach, with a non-experimental, descriptive design, applying a structured questionnaire to participating students in the educational environment.

The results show a positive evaluation of the technological tool, with an overall average of 3.74 out of 5, indicating a favorable level of acceptance. The main contributions highlighted are the practical utility of artificial intelligence for resolving doubts and supporting tasks, its ability to enhance the learning experience, and the strengthening of pedagogical mediation when teacher support is provided. Thus, the integration with educational robotics allowed for the creation of an experiential learning environment, facilitating the observation and analysis of agroecological variables in real-world contexts.

Thus, areas for improvement were identified related to the clarity of interactions, response time, collaborative work, and trust in the information generated. These findings suggest that the implementation of artificial intelligence in education requires a structured pedagogical design that guarantees its critical, ethical, and contextualized use.

n conclusion, artificial intelligence presents a high potential for enriching educational processes in agroecology, especially when combined with active learning strategies and technologies such as educational robotics, contributing to a more comprehensive understanding of socio-ecological systems.

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References

Altieri, M. A. (1995). Agrology: The science of sustainable agriculture. Westview Press. https://doi.org/10.1080/21683565.2016.1249963

Altieri, M. A., & Nicholls, C. I. (2017). Agroecology: A brief account of its origins and currents of thought in Latin America, 41(3–4), 231–237. https://doi.org/10.1080/21683565.2017.1287147

Bers, M. U. (2018). Coding, playgrounds and literacy in early childhood education: The development of KIBO robotics and ScratchJr. IEEE. https://doi.org/10.1109/EDUCON.2018.8363498

Bronson, K. (2019). Looking through a responsible innovation lens at uneven engagements with digital farming. 90-91. https://doi.org/10.1016/j.njas.2019.03.001

Cabero Almenara, J., & Llorente Cejudo, M. (2020). La integracion de las tecnologias digitales en la educacion: Modelos y tendencias. Revista Iberonamericana de Educación a Distancia, 23(2). https://doi.org/10.5944/ried.23.2.26520

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. doi:10.2307/249008

FAO. (2018). The 10 elements of agroecology: Guiding the transition to sustainable food and agricultural systemas. FAO. Retrieved from https://openknowledge.fao.org/server/api/core/bitstreams/3d7778b3-8fba-4a32-8d13-f21dd5ef31cf/content

Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., . . . Vayena, E. (2018). AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations. doi:10.1007/s11023-018-9482-5

Folke, C., Carpenter, S. R., Walker, B., Scheffer, M., Chapin, T., & Rockstrom, J. (2010). Resilience thinking: Integrating resilience, adaptability and transformability. Ecology and Society, 15(4). https://doi.org/10.5751/es-03610-150420

Gliessman, S. (2015). Agroecology: The ecology of sustainable food systems (3rd ed.). CRC Press. https://doi.org/10.1201/b17881

Holmes, W., Fadel, C., & Bialik, M. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign. https://www.consorciosthem.com/wp-content/uploads/2025/02/sthem-ia-07-holmes-fadel-bialik-artificial-intelligence-in-education-promise-and-implications-for-teaching-and-learning-2019.pdf

Klerkx, L., Jakku, E., & Labarthe, P. (2019). A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda. NJAS: Wageningen Journal of Life Sciences. NJAS - Wageningen Journal of Life Sciences, 100315, 90-91. https://doi.org/10.1016/j.njas.2019.100315

Kolb, D. A. (1984). Experience as the Source of Learning and Development. https://books.google.com.pe/books/about/Experiential_Learning.html?id=zXruAAAAMAAJ&redir_esc=y

Luckin, R., & Holmes, W. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education. University College London. https://www.pearson.com/content/dam/one-dot-com/one-dot-com/global/Files/about-pearson/innovation/open-ideas/IntelligenceUnleashedSPANISH.pdf

Morin, E. (1999). La cabeza bien puesta: repensar la reforma, reformar el pensamiento. https://books.google.com.pe/books/about/La_cabeza_bien_puesta.html?id=FPGjzwEACAAJ&redir_esc=y

Ostrom, E. (2009). A general framework for analyzing sustainability of social-ecological systems. Science, 325(5939). https://doi.org/10.1126/science.1172133

Papert, S. (1980). Mindstorms: Children, computers, and powerful ideas. https://worrydream.com/refs/Papert_1980_-_Mindstorms%2C_1st_ed.pdf?

Thomas, J. W. (2000). A review of research on project-based learning. Autodesk Foundation. https://biblioteca.usam.edu.sv/bib/28842?

Toledo, V. M., & Bassol, N. B. (2008). La memoria biocultural. La importancia ecológica de las sabidurías tradicionales.https://icariaeditorial.com/perspectivas-agroecologicas/3925-la-memoria-biocultural-la-importancia-ecologica-de-las-sabidurias-tradicionales.html

Vygotsky, L. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.https://doi.org/10.2307/j.ctvjf9vz4

Published

2026-05-26

How to Cite

Peñaloza Bacuilima, G. R., Castro Castillo, G. J., Espinoza Parra , M. S., & Pacho Sinchi , G. F. (2026). Application of Artificial Intelligence for Management and Pedagogical Mediation in an Agroecological Interpretation Center. ANNALS SCIENTIFIC EVOLUTION, 5(2), 2043–2058. https://doi.org/10.70577/asce.v5i2.864

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