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Título del libro:
Título del capítulo: Simulation Model to the Online Course Advising

Autores UNAM:
ALEJANDRO FELIPE ZARATE PEREZ; IDALIA FLORES DE LA MOTA;
Autores externos:

Idioma:

Año de publicación:
2024
Palabras clave:

Adversarial machine learning; Digital elevation model; E - learning; E-learning analytic; Face to face; Online course; Online teaching; Optimisations; Simulation; Simulation model; Student groups; Teaching analytics


Resumen:

The processes involved in online teaching have been inherited from traditional face-to-face courses, in almost every case we transfer the face-to-face to the virtual without making an analysis about how the things work in virtuality. In this paper we propose a simulation model for the course taught process, and from the model we will review a point that we assume to be definitive: the quantity of hours that an advisor dedicates to grading a course. Even the size of the student's group assigned to an advisor is defined by administrative policy but not necessarily by the needs of the training program, which one can be different according to the project's aim. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.


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