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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier B.V.
2023
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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. |
format | Online Article Text |
id | pubmed-9829427 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT susantimeilianurindah automaticessayexamscoringsystemasystematicliteraturereview AT ramadhanarief automaticessayexamscoringsystemasystematicliteraturereview AT warnarsharcolesliehendricspit automaticessayexamscoringsystemasystematicliteraturereview |