EventsThe 6th International Electronic Conference on Applied Sciences
Published
This submission belongs to the session S3. Computing and Artificial Intelligence of the event The 6th International Electronic Conference on Applied Sciences
Published date
03 Dec, 2025
Academic Editor
author-avatarLucia Billeci
Citation
Hector Duran-Muñoz, Juan Badillo-de Loera, Jose Ruiz Gomez, Antonio Guzmán Fernández, Martin de Jesús Cardoso-Pérez, Beatriz Adriana Rodríguez González, Oscar Cruz-Domínguez, Impact of AI technologies on the challenges of rural education in Mexico, in Proceedings of The 6th International Electronic Conference on Applied Sciences, 9 December–11 December 2025, MDPI: Basel, Switzerland
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Impact of AI technologies on the challenges of rural education in Mexico

Antonio Guzmán Fernández 1
Martin de Jesús Cardoso-Pérez 1
Beatriz Adriana Rodríguez González 2
1. Academic Unit of History, Master's Degree in Teacher Training. Autonomous University of Zacatecas. Jdn. Juárez #147, Historic Center, 98000 Zacatecas, Zacatecas, Mexico, Mexico
2. Department of Industrial Engineering, Polytechnic University of Zacatecas, 99059 Fresnillo, México, Mexico
3. Department of Electrical Engineering, Autonomous University of Zacatecas, 98160 Zacatecas, México, Mexico
Abstract

Artificial intelligence (AI) has generated a new technological revolution in education. AI can be an excellent tool for solving a wide range of problems. For example, the appropriate use of AI can have a beneficial impact on public education in Mexico and can help thousands of students avoid dropping out of school. Even the most acute socio-educational problem is school dropout, and in rural regions of Mexico, this problem is even more serious. Because once students leave school, they are exposed to violence and crime. Therefore, the aim of this work is to use statistical regression analysis through Generative AI, specifically using DeepSeek, to identify those students with a higher probability of school dropout in rural regions of Mexico. This work can be a first pilot test and subsequently be implemented in all rural regions, helping hundreds of students. Fundamentally, a survey was implemented to identify the socioeconomic and academic conditions of the students. The data obtained was analyzed using DeepSeek, and the students most likely to drop out of school were identified. Aditionally, DeepSeek is an attractive option for teachers and the general public without a math degree, as developing a sophisticated mathematical model to predict the probability of dropping out of school is not an easy task. Among the key results of this work is a significant reduction in the dropout rate. DeepSeek's simple features allow for the rapid monitoring of the socioeconomic and academic status of a large number of students.

Keywords
Artificial intelligence (AI)
DeepSeek
challenges of rural education
Poster
Poster The 6th International Conference.pdf
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