Current Trends in Educational Preferences in Mexico: A Comparative Analysis between Technical and University Education

This article presents a regression model to predict preferences between two bachelor's degrees and four technical degrees for public high school students.The data analysis and prediction model aim to identify patterns and preferences among this group of students with the goal of understanding how their motivations or preferences for the next stage of education align with the profiles most in demand by Industry 4.0, with technological, digital, analytical, and multidisciplinary skills.For this reason, the analysis carried out using the prediction model focuses on bachelor's degrees and technical degrees related to computing.For this study, the necessary information was collected through questionnaires administered to a representative sample of students from thirty-two different high schools in the state of Puebla.The results reveal important trends and key points regarding educational preferences.This analysis using the prediction model becomes a useful tool for educators and institutions responsible for educational policies for the creation and improvement of academic programs.