Review of feedback in Automated Essay Scoring
You-Jin Jong, Yong-Jin Kim, Ok-Chol Ri

TL;DR
This paper reviews the evolution and current state of feedback mechanisms in automated essay scoring systems, emphasizing their role in improving writing skills and analyzing recent case studies.
Contribution
It provides a comprehensive review of feedback types, essay traits, and recent case studies in automated essay scoring systems, highlighting advancements and challenges.
Findings
Feedback enhances writing skill development
Recent systems incorporate diverse feedback types
Case studies demonstrate improved scoring accuracy
Abstract
The first automated essay scoring system was developed 50 years ago. Automated essay scoring systems are developing into systems with richer functions than the previous simple scoring systems. Its purpose is not only to score essays but also as a learning tool to improve the writing skill of users. Feedback is the most important aspect of making an automated essay scoring system useful in real life. The importance of feedback was already emphasized in the first AES system. This paper reviews research on feedback including different feedback types and essay traits on automated essay scoring. We also reviewed the latest case studies of the automated essay scoring system that provides feedback.
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Taxonomy
TopicsEducational Technology and Assessment · Intelligent Tutoring Systems and Adaptive Learning · Topic Modeling
