Diagnosis of higher education in Colombia employing data analytics
DOI:
https://doi.org/10.26507/paper.4534Keywords:
desempeño, data set, higher education, indicators, performanceAbstract
Higher education in Colombia is going through a difficult time in terms of access, permanence and graduation; a situation that is accentuated after the pandemic (COVID-19) where the higher education system loses 11% per year of the universe of possible students; in fact, government programs such as Matricula Cero or Jóvenes a la U, have not been able to recover the indicators. With the above, this research aimed to establish a diagnosis of the current situation of the sector focused on the analysis of the attrition factor, using data analytical techniques and relational comparisons of the figures in a time window of 2010-2024; identifying the factors that impact the performance indicators of the institutions and sector, in this sense; the research presents through graphs of density, distance, volume and relationship the behavior of the sector in a time window of 14 years, allowing to analyze the variables, actors, means and components of the sectoral data set.
Finally, conclusions are presented from the 4H model approach, determining possible tn+1 scenarios of the sector trend and the impacts on the academic population, the institutions and the sector.
Author Biographies
Blanca Cecilia Torres Sotelo, Universidad Francisco de Paula Santander
University professor, consultant in academic and curricular process management, biology graduate, specialist in environmental management, master's degree in environmental education and sustainability.
Sandra Paola Leal Hernández, Universidad de Pamplona
University Professor, Industrial Engineer, Master's Degree in Industrial Engineering
Geisel Natalia Mayorga Torres, Universidad de La Salle
Bilingual economist, business consultant on competitiveness, economic policy and governance issues.
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