Data-Driven Admission Strategies: A Case Study of the Escuela Colombiana de Ingeniería Julio Garavito

Angie Duran

doi:10.20944/preprints202408.0295.v1

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preprints.org > computer science and mathematics > computer science > doi: 10.20944/preprints202408.0295.v1 (registering DOI)

Preprint Article Version 1 This version is not peer-reviewed

Data-Driven Admission Strategies: A Case Study of the Escuela Colombiana de Ingeniería Julio Garavito

Angie Duran

Version 1 : Received: 2 August 2024 / Approved: 5 August 2024 / Online: 5 August 2024 (14:09:35 CEST)

How to cite: Duran, A. Data-Driven Admission Strategies: A Case Study of the Escuela Colombiana de Ingeniería Julio Garavito. Preprints 2024, 2024080295. https://doi.org/10.20944/preprints202408.0295.v1 Duran, A. Data-Driven Admission Strategies: A Case Study of the Escuela Colombiana de Ingeniería Julio Garavito. Preprints 2024, 2024080295. https://doi.org/10.20944/preprints202408.0295.v1

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MDPI and ACS Style

Duran, A. Data-Driven Admission Strategies: A Case Study of the Escuela Colombiana de Ingeniería Julio Garavito. Preprints 2024, 2024080295. https://doi.org/10.20944/preprints202408.0295.v1

APA Style

Duran, A. (2024). Data-Driven Admission Strategies: A Case Study of the Escuela Colombiana de Ingeniería Julio Garavito. Preprints. https://doi.org/10.20944/preprints202408.0295.v1

Chicago/Turabian Style

Duran, A. 2024 "Data-Driven Admission Strategies: A Case Study of the Escuela Colombiana de Ingeniería Julio Garavito" Preprints. https://doi.org/10.20944/preprints202408.0295.v1

Abstract

This study explores the optimization of the admission process at the Escuela Colombiana de Ingeniería Julio Garavito through data anal- ysis. By integrating advanced tools like Power BI, Python Flask, and data mining techniques, a model has been developed to improve student selection and retention, enabling more informed and effective decisions. The results indicate that applying data science not only facilitates efficient data management but also promotes more inclusive and equitable educational poli- cies. This pioneering approach in the field of higher education in Colombia offers a frame- work for future research and technological de- velopments, highlighting the vital importance of data science in improving educational and administrative processes

Keywords

University admission; Data analysis; Academic performance; Data science in education; Educational innovation; Equity in higher education; Admission policies

Subject

Computer Science and Mathematics, Computer Science

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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