Use of Data Mining to Identify Preferences for Humanistic Courses and Support the Management of University Extension of the Autonomous University of Aguascalientes

Humberto Muñoz Bautista, Miguel Ortiz-Esparza, Jaime Muñoz Arteaga, Claudia Acra-Despradel, Klinge Villalba-Condori

Research output: Contribution to journalConference articlepeer-review

Abstract

Humanistic courses are a requirement of the Autonomous University of Aguascalientes for all its students, who must take at least three courses from different disciplines during their career to graduate. The courses offered are a way in which students from different careers can relate to each other, and in this way, develop comprehensively. These courses are offered year after year with minimal change as to which courses and at what times they are offered. The studies regarding the real demand of the students are almost non-existent, and for the same reason the courses offered do not always serve to meet the demand of the students, who find themselves in the need to take courses that they normally do not attend. would sign up to meet the requirements. In addition to the needs of the students, the problem of course management arises, where a process is carried out for the registration of courses to be offered, publication and courses and management of written students.

Original languageEnglish
Pages (from-to)490-497
Number of pages8
JournalCEUR Workshop Proceedings
Volume3691
StatePublished - 2023
Event2023 International Congress on Education and Technology in Sciences, CISETC 2023 - Zacatecas, Mexico
Duration: 4 Dec 20236 Dec 2023

Keywords

  • Data mining
  • Humanist Courses
  • Schedule

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