Dataset of academic performance evolution for engineering students

• Main Authors: Enrique Delahoz-Dominguez, Rohemi Zuluaga, Tomas Fontalvo-Herrera
• Format: Article
• Language: English
• Published: Elsevier 2020-06-01
• Series: Data in Brief
• Subjects: Learning analytics; Educational data mining; Predictive evaluation; Continuous assessment; Education
• Online Access: http://www.sciencedirect.com/science/article/pii/S2352340920304315

This data article presents data on the results in national assessments for secondary and university education in engineering students. The data contains academic, social, economic information for 12,411 students. The data were obtained by orderly crossing the databases of the Colombian Institute for the Evaluation of Education (ICFES). The structure of the data allows us to observe the influence of social variables and the evolution of students' learning skills. In addition to serving as input to develop analysis of academic efficiency, student recommendation systems and educational data mining. The data is presented in comma separated value format. Data can be easily accessed through the Mendeley Data Repository (https://data.mendeley.com/datasets/83tcx8psxv/1).