Assignment model for courses online 

  • Alejandro Felipe Zárate Pérez ,
  • Idalia Flores de la Mota
  • a,b Universidad Nacional Autónoma de México, Av. Universidad 3004, Col Copilco Universidad, Coyoacán, Ciudad de México,04510, México 
Cite as
 Zárate Pérez A.F., and Flores de la Mota I. (2022).,Assignment model for courses online. Proceedings of the 34th European Modeling & Simulation Symposium (EMSS 2022). , 038 . DOI: https://doi.org/10.46354/i3m.2022.emss.038

Abstract

One of the biggest problems in education, particularly in e-learning, is the high dropout rate that occurs in courses, so this paper presents a mathematical optimization model to maximize the completion efficiency of all scheduled courses from the assignment of teachers in each course. This will be achieved using historical data to the teachers in previous courses and observations of courses opening rate in previous years. With this data and the administrative requirements of the institution, a linear programming assignment model will be used to maximize the student completion rate for the entire scheduled period.

References

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