Observatorio de Investigación y Desarrollo Tecnológico


  • ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING//(ADVANCES IN EMERGING TRENDS AND TECHNOLOGIES, VOL. 1, SPRINGER)

    Volumen: 1, Numero: 1, Páginas: 485-497

    APPLICATION OF KNOWLEDGE DISCOVERY IN DATABASES TO PREDICT THE ACADEMIC PERFORMANCE OF UNIVERSITY STUDENTS BASED ON THEIR ADMISSION TEST

    Abstract

    Since 2012, the Ecuadorian Higher Education System implemented a standardized test named ?Ser Bachiller? as a compulsory requirement for the admission to an undergraduate program in any public university of the country. After taking this exam, applicants will receive a score to apply to the academic program of their choice; on a meritocratic basis, students with higher grades from the examination process will have greater opportunities to be accepted. The present study focuses on the admission process at Universidad Nacional de Chimborazo (Unach), a public university located in Riobamba- Ecuador. Through the application of knowledge discovery in databases (KDD), it was possible to generate a data warehouse (DW) after collecting the information of the tests scores from the admitted students and their academic performance in the leveling courses. In addition, through Data Mining (DM) processes, it was possible to identify patterns that provide information and knowledge about the relationship between the entrance score to the university and the academic outcome of the students. In parallel, through Business Intelligence (BI) reports, the institution can inform its decisions in order to generate strategies for strengthening the processes of admission and leveling, in order to guarantee a high academic performance among the admitted students, which additionally supports the general development of the institution and of its undergraduate programs.


    Keywords


    Higher Education, Knowledge Discovery from Data Bases, Data Mining, Universidad Nacional de Chimborazo


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