Analyzing and Predicting Colombian Undergrads Performance on Saber-Pro Test: A Data Science Approach

Autor:	Paula Almonacid, Rafael Deaguas, Nohora Diaz, Santiago Cortés, Maria Paula Aroca, Eugenia Arrieta Rodríguez
Rok vydání:	2021
Předmět:	Government Descriptive statistics Computer science Process (engineering) Dashboard (business) ComputingMilieux_COMPUTERSANDEDUCATION Data science Test (assessment)
Zdroj:	Computer Information Systems and Industrial Management ISBN: 9783030843397 CISIM
DOI:	10.1007/978-3-030-84340-3_7
Popis:	In this paper, we present an analytic tool solution for universities and the Colombian government, which allows them to identify the main factors that impact the performance of undergraduate students and also to predict the performance of the future cohorts of students. This solution consists of an interactive dashboard that visualizes two different types of analysis: in the first place, the descriptive statistics of variables related to the different entities implicated in the education process such as students, universities, and the state governments; and in the second place, the solution helps to visualize the results of different predictive models.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::80f65a581c7d26df54c39d3882039193 https://doi.org/10.1007/978-3-030-84340-3_7 Zobrazit plný text záznamu