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Authors: Walisson Carvalho 1 ; Cristiane Nobre 2 and Luis Zarate 2

Affiliations: 1 Centro Universitario Una, Belo Horizonte and Brazil ; 2 Pontificia Universidade Catolica de Minas Gerais, Belo Horizonte and Brazil

Keyword(s): Rule Induction Algorithms, Educational Data Mining, Classification, OneR, RIPPER, PART.

Abstract: This article presents the application of three induction rules algorithm: OneR, RIPPER and PART in an educational data set aiming to explain the main factors that lead students to be succeed or failure in online course. The dataset used to develop this article was extracted from the log of activities of engineering students that enrolled in a 20 weeks course of Algorithm offered online. The students used Learning Management System, Moodle. The dataset was preprocessed and then it was applied the algorithms into it. As result it was observed that students who begin earlier an assignment improve their probability of succeed.

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Paper citation in several formats:
Carvalho, W.; Nobre, C. and Zarate, L. (2019). Rule Induction Algorithms Applied in Educational Data Set. In Proceedings of the 11th International Conference on Computer Supported Education - Volume 1: A2E; ISBN 978-989-758-367-4; ISSN 2184-5026, SciTePress, pages 691-696. DOI: 10.5220/0007832506910696

@conference{a2e19,
author={Walisson Carvalho. and Cristiane Nobre. and Luis Zarate.},
title={Rule Induction Algorithms Applied in Educational Data Set},
booktitle={Proceedings of the 11th International Conference on Computer Supported Education - Volume 1: A2E},
year={2019},
pages={691-696},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007832506910696},
isbn={978-989-758-367-4},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Computer Supported Education - Volume 1: A2E
TI - Rule Induction Algorithms Applied in Educational Data Set
SN - 978-989-758-367-4
IS - 2184-5026
AU - Carvalho, W.
AU - Nobre, C.
AU - Zarate, L.
PY - 2019
SP - 691
EP - 696
DO - 10.5220/0007832506910696
PB - SciTePress