Data-Driven Decision-Making in K-12 Institutional Management: A Case Study

Authors

  • Cristina Mayr Universidad de Montevideo, Uruguay

DOI:

https://doi.org/10.18687/LACCEI2026.1.1.2261

Keywords:

Education Management, Class Optimization, Data Driven, Digital Transformation

Abstract

This study presents a digital transformation initiative within a private Uruguayan K-12 institution, focusing on the modernization of core academic management systems and introducing innovative views to facilitate data-driven decision-making (DDDM), with direct participation of personnel as well as students preferences. While optimization research in education has extensively addressed logistical challenges—such as facility allocation and complex scheduling in higher education— there remains a significant gap regarding social group dynamics at the K-12 level. This research addresses that, by developing an optimization model for social dynamics and, crucially, integrating it directly into the school’s daily operational environment.

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Published

2026-07-27

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

LACCEI retains copyright of all published articles under the terms of its copyright transfer agreement. As the copyright holder, LACCEI distributes the articles to the public under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).

How to Cite

Mayr, C. (2026). Data-Driven Decision-Making in K-12 Institutional Management: A Case Study. LACCEI, 1(14). https://doi.org/10.18687/LACCEI2026.1.1.2261