Analyzing Gender-Based Perceptions of Corruption and Equity Among Engineering Students: Insights From a Multidisciplinary Data Mining Approach

Abstract

In this study, we explored the differing perceptions of equity and corruption values between women and men through data mining analysis. Utilizing an extensive database of surveys, we applied advanced data mining techniques to identify significant patterns and differences in the perception of these values across genders. The results were derived from a survey initially designed as a result of a multidisciplinary and socially complex analysis, targeting engineering students at the National Polytechnic Institute in Mexico. The survey measured perceptions of corruption in educational institutions, businesses, the general public, as well as in public and private educational institutions. It was found that men perceived some of these entities as more corrupt. According to the results, women tend to have a more critical perception of acts of corruption and place a higher value on principles of equity. Additionally, students were asked why they were pursuing their careers, and the majority responded that it was to earn more money. These findings not only provide a deeper understanding of how men and women perceive equity and corruption but also inform the development of educational strategies and public policies. This study underscores the importance of considering gender in the study of social values and highlights its relevance for designing policies that effectively promote equity and combat corruption.

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Author Information
Gloria Martínez, Instituto Politécnico Nacional, Mexico
Nashielly Yarzabal, Instituto Politécnico Nacional, Mexico
Juan Sabas, Universidad Rosario Castellanos, Mexico