Un modelo para estimar la distribución de la carga de trabajo del estudiante del horario conjunto = A model to estimate the distribution of the student's work load from the joint schedule
DOI:
https://doi.org/10.20868/abe.2020.3.4517Keywords:
Carga de trabajo, Coordinación horizontal, Modelos matemáticos, Calendario, Gestión académica, Workload, horizontal coordination, mathematical models, schedule, academic managementAbstract
Una carga de trabajo desigualmente distribuida a lo largo de un semestre es uno de los factores cruciales que afectan el desempeño académico de los estudiantes universitarios. Las cargas de trabajo excesivas o distribuidas de forma desigual pueden dañar significativamente los resultados académicos y, lo que es más importante, determinar el enfoque de aprendizaje adoptado por los estudiantes. La coordinación horizontal tiene como objetivo garantizar una distribución racional de la carga de trabajo a lo largo de un semestre académico. Para ello, la Universidad Politécnica de Cartagena (UPCT) utiliza el 'Cronograma Conjunto', donde se agrupan las actividades planificadas por el profesorado para los diferentes cursos de un determinado grupo y semestre.
El objetivo principal de este trabajo es el desarrollo de un modelo que permita evaluar la distribución de la carga de trabajo del estudiante a lo largo de un semestre, utilizando la planificación inicial de actividades recuperada por la facultad.
Se han empleado varios enfoques para estimar la carga de trabajo del estudiante. Este trabajo se basa en la encuesta semanal de carga de trabajo realizada para varios cursos en una serie de grados de la UPCT, que ha permitido a los autores cuantificar la carga de trabajo del alumno medio para diferentes tipos de actividades, medir las actividades planificadas y simular el tiempo de carga de trabajo. Distribución de una actividad determinada en función del tiempo disponible para su realización.
Abstract
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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