Gender prediction based on University students’ complex thinking competency: An analysis from machine learning approaches
- DOI
- 10.1007/s10639-023-11831-4
- Published
- 2023-06-13
- Container
- Education and Information Technologies
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10639-023-11831-4,
title = {Gender prediction based on University students’ complex thinking competency: An analysis from machine learning approaches},
author = {Gerardo Ibarra-Vazquez and María Soledad Ramírez-Montoya and Hugo Terashima},
year = {2023},
journal = {Education and Information Technologies},
doi = {10.1007/s10639-023-11831-4},
url = {https://doi.org/10.1007/s10639-023-11831-4}
}RIS
TY - JOUR TI - Gender prediction based on University students’ complex thinking competency: An analysis from machine learning approaches AU - Gerardo Ibarra-Vazquez AU - María Soledad Ramírez-Montoya AU - Hugo Terashima PY - 2023 JO - Education and Information Technologies DO - 10.1007/s10639-023-11831-4 UR - https://doi.org/10.1007/s10639-023-11831-4 ER -
APA
Ibarra-Vazquez, G., Ramírez-Montoya, M. S., & Terashima, H. (2023). Gender prediction based on University students’ complex thinking competency: An analysis from machine learning approaches. Education and Information Technologies. https://doi.org/10.1007/s10639-023-11831-4
Source records
- crossref · retrieved 2026-11-08T14:43:35.711Z