2024
DOI: 10.1109/tlt.2023.3336541
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Forecasting Gender in Open Education Competencies: A Machine Learning Approach

Gerardo Ibarra-Vazquez,
María Soledad Ramírez-Montoya,
Mariana Buenestado-Fernández

Abstract: This article aims to study the performance of machine learning models in forecasting gender based on the students' open education competency perception. Data were collected from a convenience sample of 326 students from 26 countries using the eOpen instrument. The analysis comprises 1) a study of the students' perceptions of knowledge, skills, and attitudes or values related to open education and its sub-competencies from a 30-item questionnaire using machine learning models to forecast participants' gender, 2… Show more

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Cited by 2 publications
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