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Título
Academic Success Assessment through Version Control Systems
Autor
Facultad/Centro
Área de conocimiento
Título de la revista
Applied Sciences
Número de la revista
4
Datos de la obra
Guerrero-Higueras, A. M., Llamas, C. F., González, L. S., Fernández, A. G., Costales, G. E., and González, Mª. C. (2020). Academic success assessment through version control systems. Applied Sciences (Switzerland), 10(4). https://doi.org/10.3390/APP10041492
Editor
MDPI
Fecha
2020-02-21
Resumo
[EN] Version control systems’ usage is a highly demanded skill in information and
communication technology professionals. Thus, their usage should be encouraged by educational
institutions. This work demonstrates that it is possible to assess if a student can pass a computer
science-related subject by monitoring its interaction with a version control system. This paper
proposes a methodology that compares the performance of several machine learning models so as
to select the appropriate predicting model for the assessment of the students’ achievements. To fit
predicting models, three subjects of the Degree in Computer Science at the University of León are
considered to obtain the dataset: computer organization, computer programming, and operating
systems extension. The common aspect of these subjects is their assignments, which are based on
developing one or several programs with programming languages such as C or Java. To monitor the
practical assignments and individual performance, a Git repository is employed allowing students
to store source code, documentation, and supporting control versions. According to the presented
experience, there is a huge correlation between the level of interaction for each student and the
achieved grades.
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Palabras clave
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