Susanti, Meilia Nur Indah and ramadhan, arief and Warnars, Harco Leslie Hendric Spits (2023) Automatic essay exam scoring system: A systematic literature review. Procedia Computer Science, 216. pp. 531-538. ISSN 18770509
Full text not available from this repository. (Request a copy)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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Scoring System, Automatic System, Essay, Systematic Review, Assesment |
| Subjects: | Bidang Keilmuan > Data Mining Bidang Keilmuan > Data Science Bidang Keilmuan > Deep learning Bidang Keilmuan > Design System Jurnal Bidang Keilmuan > Sistem Pakar Bidang Keilmuan > Sistem Pengambilan Keputusan Bidang Keilmuan > Smart System Bidang Keilmuan > Teknik Informatika |
| Divisions: | Fakultas Telematika Energi > S1 Teknik Informatika |
| Depositing User: | Yudha Formanto |
| Date Deposited: | 24 Nov 2025 04:35 |
| Last Modified: | 15 Dec 2025 06:42 |
| URI: | https://repository.itpln.ac.id/id/eprint/4049 |
