Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Modeling e-Livestock Indonesia.

Heliyon·2021

See all related articles

Search research articles

Related Experiment Video

Updated: Aug 14, 2025

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

Published on: September 4, 2019

Automatic essay exam scoring system: a systematic literature review.

Meilia Nur Indah Susanti¹, Arief Ramadhan¹, Harco Leslie Hendric Spit Warnars¹

¹Computer Science Department, BINUS Graduate Program - Doctor of Computer Science, Bina Nusantara University, Jakarta, 11480, Indonesia.

Procedia Computer Science

|January 16, 2023

Summary

This study reviews automated essay scoring systems, crucial for remote education during the COVID-19 pandemic. Findings aim to advance automated essay exam scoring methods and dataset considerations.

Keywords:

assessment automatic essay scoring system systematic review

More Related Videos

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education

Published on: August 16, 2024

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

Related Experiment Videos

Last Updated: Aug 14, 2025

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

Published on: September 4, 2019

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education

Published on: August 16, 2024

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

Area of Science:

Educational Technology
Natural Language Processing
Computer-Assisted Assessment

Background:

The COVID-19 pandemic necessitated a shift to distance learning globally, impacting the education sector significantly.
Traditional face-to-face learning was replaced by remote educational practices, creating challenges for assessment.
The need for efficient and scalable assessment methods became apparent, particularly for essay-based evaluations.

Purpose of the Study:

To conduct a systematic literature review on automated essay answer assessment.
To synthesize existing research on essay answer scoring systems and their methodologies.
To provide insights for future research in automated essay exam scoring systems.

Main Methods:

Systematic literature review of existing studies on automated essay scoring.
Synthesis and analysis of various methods developed for essay answer scoring.
Identification of common themes and variations in dataset formats used in prior research.

Main Results:

A comprehensive overview of diverse methods employed in automated essay scoring.
Identification of trends and challenges in developing and implementing automated scoring systems.
Understanding the landscape of datasets utilized for training and evaluating these systems.

Conclusions:

Automated essay scoring systems offer a viable solution for remote assessment needs.
Further research is needed to refine methods and explore optimal dataset configurations.
This review contributes to advancing the field of automated essay examination scoring.