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Automatic essay exam scoring system: a systematic literature review

Currently, Indonesia and the whole world are being hit by the Covid-19 pandemic which has an impact on various fields of life. It affects all sectors, including the education sector. The government through the Ministry of Education and Culture makes a policy in education in terms of the learning pro...

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Autores principales: Susanti, Meilia Nur Indah, Ramadhan, Arief, Warnars, Harco Leslie Hendric Spit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier B.V. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829427/
https://www.ncbi.nlm.nih.gov/pubmed/36643175
http://dx.doi.org/10.1016/j.procs.2022.12.166
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author Susanti, Meilia Nur Indah
Ramadhan, Arief
Warnars, Harco Leslie Hendric Spit
author_facet Susanti, Meilia Nur Indah
Ramadhan, Arief
Warnars, Harco Leslie Hendric Spit
author_sort Susanti, Meilia Nur Indah
collection PubMed
description Currently, Indonesia and the whole world are being hit by the Covid-19 pandemic which has an impact on various fields of life. It affects all sectors, including the education sector. The government through the Ministry of Education and Culture makes a policy in education in terms of the learning process. Teaching and learning activities that were initially carried out face to face become distance learning which was carried out at home. In this study, a systematic literature review is conducted on automatic assessment of essay answers. Various previous studies discuss the essay answer scoring system that has been developed using various methods. We synthesize the results to enrich our understanding of the automated essay exam scoring system. The expected result of this research is that it can contribute to further research related to the automated essay exam scoring system, especially in terms of considering methods and dataset forms.
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spelling pubmed-98294272023-01-10 Automatic essay exam scoring system: a systematic literature review Susanti, Meilia Nur Indah Ramadhan, Arief Warnars, Harco Leslie Hendric Spit Procedia Comput Sci Article Currently, Indonesia and the whole world are being hit by the Covid-19 pandemic which has an impact on various fields of life. It affects all sectors, including the education sector. The government through the Ministry of Education and Culture makes a policy in education in terms of the learning process. Teaching and learning activities that were initially carried out face to face become distance learning which was carried out at home. In this study, a systematic literature review is conducted on automatic assessment of essay answers. Various previous studies discuss the essay answer scoring system that has been developed using various methods. We synthesize the results to enrich our understanding of the automated essay exam scoring system. The expected result of this research is that it can contribute to further research related to the automated essay exam scoring system, especially in terms of considering methods and dataset forms. Published by Elsevier B.V. 2023 2023-01-10 /pmc/articles/PMC9829427/ /pubmed/36643175 http://dx.doi.org/10.1016/j.procs.2022.12.166 Text en © 2022 Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Susanti, Meilia Nur Indah
Ramadhan, Arief
Warnars, Harco Leslie Hendric Spit
Automatic essay exam scoring system: a systematic literature review
title Automatic essay exam scoring system: a systematic literature review
title_full Automatic essay exam scoring system: a systematic literature review
title_fullStr Automatic essay exam scoring system: a systematic literature review
title_full_unstemmed Automatic essay exam scoring system: a systematic literature review
title_short Automatic essay exam scoring system: a systematic literature review
title_sort automatic essay exam scoring system: a systematic literature review
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829427/
https://www.ncbi.nlm.nih.gov/pubmed/36643175
http://dx.doi.org/10.1016/j.procs.2022.12.166
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