Information Competences and Academic Achievement: A Dataset

Jacqueline Köhler () and Roberto González-Ibáñez
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Jacqueline Köhler: Departamento de Ingeniería Informática, Universidad de Santiago de Chile, Avenida Víctor Jara #3659, Santiago 9170124, Chile
Roberto González-Ibáñez: Departamento de Ingeniería Informática, Universidad de Santiago de Chile, Avenida Víctor Jara #3659, Santiago 9170124, Chile

Data, 2023, vol. 8, issue 11, 1-11

Abstract: Information literacy (IL) is becoming fundamental in the modern world. Although several IL standards and assessments have been developed for secondary and higher education, there is still no agreement about the possible associations between IL and both academic achievement and student dropout rates. In this article, we present a dataset including IL competences measurements, as well as academic achievement and socioeconomic indicators for 153 Chilean first- and second-year engineering students. The dataset is intended to allow researchers to use machine learning methods to study to what extent, if any, IL and academic achievement are related.

Keywords: information competences; academic achievement; machine learning (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2023
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