Litcius/Paper detail

Automatic essay exam scoring system: a systematic literature review

Meilia Nur Indah Susanti, Arief Ramadhan, Harco Leslie Hendric Spit Warnars

2023Procedia Computer Science21 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Computer scienceChristian ministryProcess (computing)Face (sociological concept)Scoring systemGovernment (linguistics)Coronavirus disease 2019 (COVID-19)Artificial intelligenceMathematics educationData scienceSociologyPsychologyPolitical scienceSocial scienceLawMedicinePathologyLinguisticsInfectious disease (medical specialty)SurgeryPhilosophyOperating systemDiseaseEducational Technology and AssessmentEducation and Critical Thinking DevelopmentEdcuational Technology Systems