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Do Gender, Experience, Age, and Expectations Influence the Use of AI? A Binary Logistic Regression Analysis Applied to Entrepreneurship Students

Year: 2026

Type: article

Abstract: Based on data from 208 students involved in entrepreneurship studies at Tecnológico de Monterrey, Mexico, this paper examines whether prior experience with AI, expectations, gender, and age reinforce future AI use. To achieve this objective, we applied binary logistic regression with random oversampling to balance the dataset. We complemented it with additional model performance metrics, including the confusion matrix, sensitivity, specificity, and area under the ROC curve. The results show that prior experience with AI, age-related technology use, and positive expectations regarding AI are associated with a higher likelihood of reinforcing future AI use. In terms of gender, the results indicate a gender gap favoring women, who are more likely to use AI when they perceive greater utility and confidence, as well as a stronger desire to succeed.

Source: Education Sciences

DOI: 10.3390/educsci16040522

Authors: José Manuel Saiz-Alvarez, Lizette Huezo-Ponce

Institutions: National Autonomous University of Honduras, Catholic University of Ávila, Universidad Católica de Santiago de Guayaquil, Tecnológico de Monterrey

Language: English

Topic: Gender and Technology in Education

Subfield: Gender Studies

Field: Social Sciences

Domain: Social Sciences

SDGs: Reduced inequalities, Gender equality, Quality education

Open Access status: gold

Estimated APC paid: $2,172