Assessment of the Academic Load in a Curriculum Through an Optimization Model: Case Study of a Master Program

Myriam Gaete, Marcela González-Araya

2024

Abstract

The evaluation of academic load is necessary and constitutes a fundamental process in the design and redesign of programs. This is because an excessive academic load can have academic consequences such as lag, as well as effects on mental health, including depression, anxiety, burnout, self-esteem problems, among others. Academic load is a complex and dynamic topic, resulting in the absence of a single approach to its study and measurement. In this sense, this work proposes a mathematical model of linear programming. The case study evaluated in Magister, a Chilean university. The results reveal an even distribution of academic load between semesters and courses within the program. As the semesters progress, the academic load tends to increase gradually. Integrated courses, such as Course 10 and Course 11, have higher loads compared to others. In the third semester there is variability in the academic load, with one course concentrating most of the study hours. In total, 294 hours of study are required to complete the program. A comprehensive review of academic load distribution is recommended to ensure an equitable and manageable educational experience for students.

Paper Citation

in Harvard Style

Gaete M. and González-Araya M. (2024). Assessment of the Academic Load in a Curriculum Through an Optimization Model: Case Study of a Master Program. In Proceedings of the 13th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES; ISBN 978-989-758-681-1, SciTePress, pages 269-276. DOI: 10.5220/0012365400003639

in Bibtex Style

@conference{icores24,
author={Myriam Gaete and Marcela González-Araya},
title={Assessment of the Academic Load in a Curriculum Through an Optimization Model: Case Study of a Master Program},
booktitle={Proceedings of the 13th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES},
year={2024},
pages={269-276},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012365400003639},
isbn={978-989-758-681-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES
TI - Assessment of the Academic Load in a Curriculum Through an Optimization Model: Case Study of a Master Program
SN - 978-989-758-681-1
AU - Gaete M.
AU - González-Araya M.
PY - 2024
SP - 269
EP - 276
DO - 10.5220/0012365400003639
PB - SciTePress