Un modelo para estimar la distribución de la carga de trabajo del estudiante del horario conjunto

  1. Julián F. Conesa Pastor
  2. Mª Socorro García Cascales
  3. Antonio García Martín
  4. Juan Pedro Solano Martínez
Advances in Building Education

ISSN: 2530-7940

Year of publication: 2020

Issue Title: septiembre - diciembre

Volume: 4

Issue: 3

Pages: 48-64

Type: Article

DOI: 10.20868/ABE.2020.3.4517 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

More publications in: Advances in Building Education


An unevenly distributed workload along a semester is one of the crucial factors that affect the academic performance of university students. Excess or unevenly distributed workloads may significantly harm the academic results and, importantly, determine the learning approach adopted by the students. The horizontal coordination aims at ensuring a rational workload distribution along an academic semester. To achieve this, Universidad Politécnica de Cartagena (UPCT) uses ‘Joint Chronogram’, where the activities planned by the faculty for the different courses in a given group and semester are put together. The main objective of this work is the development of a model that allows for evaluating the student’s workload distribution along a semester, using the initial planning of activities retrieved by the faculty. Several approaches have been employed for estimating the student’s workload. This work is based on the weekly workload survey conducted for several courses in a number of undergraduate degrees at UPCT, which has allowed the authors for quantifying the average student’s workload for different types of activities, for measuring the planned activities and for simulating the workload time distribution of a given activity as a function of the available time for accomplishment. Once the planned activities are introduced into the chronogram for each course, the model computes and represents graphically an average-student’s workload distribution, which depends on the type of activities and their distribution along the semester. This simulation allows for modifying the time-planning of the most critical activities, in agreement with the faculty, in order to ensure a more even workload distribution.

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