The factors associated with school dropout are multiple and are linked to various aspects. On the one hand, it is related to social, economic and family elements (SEP, 2017). On the other hand, and in greater detail, the lack of interest in the study, the difficulty of understanding the teachers, the educational lag and the failure of subjects are identified (SEP and INSP, 2015). It is also linked to deeper aspects that are related to the life projects of young people and the expectations they have of education.
Problem to be solved:
Currently, and despite the efforts and social programs that the government has developed, education in Mexico continues to be a challenge. According to data from the federal government, in Jalisco, only 24 out of every 100 students who started basic education finish higher education. It is striking that the completion rate is affected from basic education, mainly in secondary education where for every 100 students who start this level only 84 manage to complete it. School dropout at basic levels is a complex problem that involves numerous factors in multiple dimensions, so the real challenge is not only in its identification but in understanding its interaction and interrelation in order to generate actions that allow us to prevent the problem .
Populations that are affected by the problem
Students at risk of dropping out of school and parents
Current response to this problem, considering related institutions.
Early Warning System (SISAT)
Proposal to solve this problem using AI:
Identify, through a systemic approach, the factors, and their interrelation, with the greatest impact on school dropout; so that profiles of students who face this problem can be developed. Once the profiles have been defined, with the help of AI, the information available from the students can be analyzed in order to detect patterns associated with the previously defined profiles. With this information, programs or strategies can be generated that help students overcome the conditions that could lead them to abandon their studies.
What security considerations, national laws or standards have to be taken into account to use each source of information?
Federal Law of Transparency and Access to Public Government Information
Federal Law on Protection of Personal Data
National Institute of Transparency, Access to Information and Protection of Personal Data
Main AI challenges identified:
At the present time, the main challenge is access to the information necessary to define profiles and find if there are patterns of behavior where AI can help us detect, in advance, possible cases of school dropout. In the same way, it is very important for the current stage to work on raising awareness about the importance of its privacy and its possible repercussions.
Jalisco Government - Tec de Monterrey
Posibilidades y riesgos de la inteligencia artificial en el Estado digital
El objetivo de este documento es ayudar a los responsables de formular proyectos con IA durante su conceptualización y diseño, así como a liderar posteriormente su ejecución y monitoreo.