Information Competences and Academic Achievement: A Dataset-Reference-Cited by-同舟云学术

Information Competences and Academic Achievement: A Dataset

Published:2023-10-27 Issue:11 Volume:8 Page:164
ISSN:2306-5729
Container-title:Data
language:en
Short-container-title:Data

Author:

Köhler Jacqueline¹^ORCID,González-Ibáñez Roberto¹^ORCID

Affiliation:

1. Departamento de Ingeniería Informática, Universidad de Santiago de Chile, Avenida Víctor Jara #3659, Santiago 9170124, Chile

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.

Funder

National Agency for Research and Development (ANID), Scholarship Program, DOCTORADO BECAS CHILE

ANID

Publisher

MDPI AG

Subject

Information Systems and Management,Computer Science Applications,Information Systems

Link

https://www.mdpi.com/2306-5729/8/11/164/pdf

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