EXPLORING THE ROLE OF FEEDBACK IN AI AUTOMATED ESSAY SCORING

Abstract

Automated Essay Scoring (AES) systems have gained popularity in education for their potential 
to efficiently and objectively grade student writing. However, concerns have been raised about 
their accuracy and the lack of feedback they provide to students. In this research, the writers 
aim to explore the role of feedback in AI Automated Essay Scoring. First, writers reviewed the 
literature on AES systems, their effectiveness and the role of feedback in student writing 
development. The writers conducted a quantitative study using tests and surveys to gather data 
from students. The test was used to gather the students’ writing before and after giving them 
feedback provided by AI, while the survey focused on students' perceptions of AES feedback. 
The findings revealed that the provision of feedback through AES significantly improved the 
quality of student writing generally. Furthermore, the survey results indicated that students 
perceived the AES feedback as helpful and informative, with the majority of students reporting 
that the feedback helped them identify areas for improvement and develop their writing skills.