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Prediction of academic success through interaction with version control systems

Authors:

Ángel Manuel Guerrero-Higueras,

Lidia Sánchez-González,

Camino Fernández-Llamas,

Miguel Ángel Conde,

Francisco J. Rodríguez Lera,

Francisco J. Rodríguez Sedano,

Gonzalo Esteban Costales,

Vicente MatellánAuthors Info & Claims

TEEM'19: Proceedings of the Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality

Pages 284 - 289

https://doi.org/10.1145/3362789.3362875

Published: 16 October 2019 Publication History

Abstract

Version Control Systems are commonly used by Information and communication technology professionals. They allow monitoring the single activity of different people working in the same project through all the project's lifetime. Thus, Version Control Systems are also used by educational institutions. The aim of this work is to demonstrate that the academic success in Computer Sciences subjects may be predicted by monitoring students' interaction with a Version Control System. In order to do so, we have built a prediction model by using Model Evaluator, a tool which allows evaluating several Machine Learning models in order to select the most suitable for a specific problem. A set of experiments are being been carried out to evaluate the prediction model. At those experiments, students of different subjects of the degree in Computer Science of the University of León were involved. All the selected subjects: Operating Systems Extension, Computer Programming, and Computer Organization, require students to complete practical assignments which imply developing software solutions in different programming languages. A common requisite of those practical assignments is the use of a Git repository to store source code and documentation. Tentative results suggest that continuous interaction with the Git repositories has a big impact on academic success.

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Cited By

Fiallos Quinteros JJiménez Builes JBranch Bedoya J(2022)Analítica de enseñanza y aprendizaje en cursos de programaciónCampus Virtuales10.54988/cv.2022.1.88011:1(35)Online publication date: 31-Jan-2022
https://doi.org/10.54988/cv.2022.1.880
Guerrero-Higueras ÁFernández Llamas CSánchez González LGutierrez Fernández AEsteban Costales GConde González M(2020)Academic Success Assessment through Version Control SystemsApplied Sciences10.3390/app1004149210:4(1492)Online publication date: 21-Feb-2020
https://doi.org/10.3390/app10041492
Conde MHernández-García Á(2019)Learning AnalyticsProceedings of the Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality10.1145/3362789.3362943(248-252)Online publication date: 16-Oct-2019
https://dl.acm.org/doi/10.1145/3362789.3362943
Show More Cited By

Index Terms

Prediction of academic success through interaction with version control systems
1. Applied computing
  1. Education
2. Computing methodologies
  1. Machine learning

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Published In

cover image ACM Other conferences

TEEM'19: Proceedings of the Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality

October 2019

1085 pages

ISBN:9781450371919

DOI:10.1145/3362789

Editors:
Miguel Ángel Conde González
Universidad de León
,
Francisco Jesús Rodríguez Sedano
Universidad de León
,
Camino Fernández Llamas
Universidad de León
,
Francisco José García-Peñalvo
Universidad de Salamanca

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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University of Salamanca: University of Salamanca

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 October 2019

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TEEM'19

TEEM'19: Technological Ecosystems for Enhancing Multiculturality

October 16 - 18, 2019

León, Spain

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Overall Acceptance Rate 496 of 705 submissions, 70%

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Cited By

Fiallos Quinteros JJiménez Builes JBranch Bedoya J(2022)Analítica de enseñanza y aprendizaje en cursos de programaciónCampus Virtuales10.54988/cv.2022.1.88011:1(35)Online publication date: 31-Jan-2022
https://doi.org/10.54988/cv.2022.1.880
Guerrero-Higueras ÁFernández Llamas CSánchez González LGutierrez Fernández AEsteban Costales GConde González M(2020)Academic Success Assessment through Version Control SystemsApplied Sciences10.3390/app1004149210:4(1492)Online publication date: 21-Feb-2020
https://doi.org/10.3390/app10041492
Conde MHernández-García Á(2019)Learning AnalyticsProceedings of the Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality10.1145/3362789.3362943(248-252)Online publication date: 16-Oct-2019
https://dl.acm.org/doi/10.1145/3362789.3362943
Guerrero-Higueras ÁDeCastro-García NMatellán VConde M(2018)Predictive models of academic successProceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality10.1145/3284179.3284235(306-312)Online publication date: 24-Oct-2018
https://dl.acm.org/doi/10.1145/3284179.3284235

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