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Authors: Francisco de Assis Zampirolli ; Valério Ramos Batista ; Carla Rodriguez ; Rafaela Vilela da Rocha and Denise Goya

Affiliation: Centro de Matemática, Computação e Cognição, Universidade Federal do ABC (UFABC), 09210-580, Santo André, SP, Brazil

Keyword(s): Automated Assessment, Multiple Choice Questions, Parametrized Quizzes.

Abstract: A resource that has been used increasingly in order to assess people is the evaluation through multiple-choice questions. However, in many cases some test alternatives are wrong just because of a detail and scoring nought for them can be counter-pedagogical. Because of that, we propose an adaptation of the open-source system MCTest, which considers weighted test alternatives. The automatic correction is carried out by a spreadsheet that stores the students’ responses and compares them with the individual answer keys of the corresponding test issues. Applicable to exams either in hardcopy or online, this study was validated to a total of 607 students from three different courses: Networks & Communications, Nature of Information, and Compilers.

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Paper citation in several formats:
Zampirolli, F.; Batista, V.; Rodriguez, C.; Vilela da Rocha, R. and Goya, D. (2021). Automated Assessment with Multiple-choice Questions using Weighted Answers. In Proceedings of the 13th International Conference on Computer Supported Education - Volume 1: CSEDU; ISBN 978-989-758-502-9; ISSN 2184-5026, SciTePress, pages 254-261. DOI: 10.5220/0010338002540261

@conference{csedu21,
author={Francisco de Assis Zampirolli. and Valério Ramos Batista. and Carla Rodriguez. and Rafaela {Vilela da Rocha}. and Denise Goya.},
title={Automated Assessment with Multiple-choice Questions using Weighted Answers},
booktitle={Proceedings of the 13th International Conference on Computer Supported Education - Volume 1: CSEDU},
year={2021},
pages={254-261},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010338002540261},
isbn={978-989-758-502-9},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Computer Supported Education - Volume 1: CSEDU
TI - Automated Assessment with Multiple-choice Questions using Weighted Answers
SN - 978-989-758-502-9
IS - 2184-5026
AU - Zampirolli, F.
AU - Batista, V.
AU - Rodriguez, C.
AU - Vilela da Rocha, R.
AU - Goya, D.
PY - 2021
SP - 254
EP - 261
DO - 10.5220/0010338002540261
PB - SciTePress

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