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Authors: Vinicius Schultz Garcia da Luz 1 ; Ezequiel Gueiber 1 ; 2 ; Simone Nasser Matos 1 ; Helyane Bronoski Borges 1 ; Guataçara Dos Santos Júnior 1 and Rui Pedro Lopes 3

Affiliations: 1 Computer Science Dept., Federal University of Technology, Paraná (UTFPR), Ponta Grossa, PR, Brazil ; 2 Computer Science Dept., State University of Ponta Grossa (UEPG), Ponta Grossa, PR, Brazil ; 3 Research Center in Digitalization and Industrial Robotics, Instituto Politécnico de Bragança (IPB), Bragança, Portugal

Keyword(s): Machine Learning, Education, Games, Gamification, Mapping Review.

Abstract: Machine learning algorithms and gamification applied in educational environments promote more accurate information gathering as students interact with games. They allow you to evaluate and analyse data from how to improve gamified tools to stimulate teaching, retain student attention and interest, and optimize learning. This paper has performed a systematic mapping to identify how machine learning algorithms are applied at each game level.

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Paper citation in several formats:
Garcia da Luz, V.; Gueiber, E.; Matos, S.; Borges, H.; Santos Júnior, G. and Lopes, R. (2021). A Systematic Mapping on Machine Learning Algorithms and Gamification Applied to Education. In Proceedings of the 13th International Conference on Computer Supported Education - Volume 2: CSEDU; ISBN 978-989-758-502-9; ISSN 2184-5026, SciTePress, pages 353-361. DOI: 10.5220/0010498103530361

@conference{csedu21,
author={Vinicius Schultz {Garcia da Luz}. and Ezequiel Gueiber. and Simone Nasser Matos. and Helyane Bronoski Borges. and Guata\c{C}ara Dos {Santos Júnior}. and Rui Pedro Lopes.},
title={A Systematic Mapping on Machine Learning Algorithms and Gamification Applied to Education},
booktitle={Proceedings of the 13th International Conference on Computer Supported Education - Volume 2: CSEDU},
year={2021},
pages={353-361},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010498103530361},
isbn={978-989-758-502-9},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Computer Supported Education - Volume 2: CSEDU
TI - A Systematic Mapping on Machine Learning Algorithms and Gamification Applied to Education
SN - 978-989-758-502-9
IS - 2184-5026
AU - Garcia da Luz, V.
AU - Gueiber, E.
AU - Matos, S.
AU - Borges, H.
AU - Santos Júnior, G.
AU - Lopes, R.
PY - 2021
SP - 353
EP - 361
DO - 10.5220/0010498103530361
PB - SciTePress

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