“Smart Marker”: A Machine Learning Approach to Essay Evaluation Using OpenAI

DOI

10.2991/978-94-6463-926-1_5How to use a DOI?

Keywords

Essay Grading System; Machine Learning; OpenAI; Smart Marker

Abstract

Manual essay assessment in educational environments is often time-consuming, labor-intensive, and prone to subjective judgment. This study aims to develop a web-based automatic essay scoring system using the Laravel framework integrated with the OpenAI API. The system is designed to assist lecturers and teachers in conducting fast, consistent, and objective evaluations of student essay responses. The system was developed using the Waterfall methodology, covering stages such as requirement analysis, design, implementation, and testing. Essay evaluation is performed automatically by OpenAI’s GPT-3.5 model, which analyzes student responses against answer keys provided by instructors. The system also delivers scores and real-time feedback to students. Testing results show that all system features function properly, including multi-role logins (admin, lecturer, student), essay question input, essay submission, as well as score and feedback storage. Reliability testing using the Mean Absolute Deviation (MAD) method yielded a value of 0.6647, indicating a high level of scoring consistency. The system successfully automates essay evaluation with accurate and consistent results. It enhances the efficiency and transparency of the learning assessment process and provides a more interactive learning experience for students.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - I Nyoman Gede Arya Astawa
AU  - Endrowednes Kuantama
AU  - I Wayan Budi Sentana
AU  - Ni Gusti Ayu Putu Harry Saptarini
AU  - Ni Ketut Pradani Gayatri Sarja
AU  - Yessi Aprilia Waluyo
PY  - 2025
DA  - 2025/12/31
TI  - “Smart Marker”: A Machine Learning Approach to Essay Evaluation Using OpenAI
BT  - Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2025 (iCAST-ES 2025)
PB  - Atlantis Press
SP  - 31
EP  - 38
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-926-1_5
DO  - 10.2991/978-94-6463-926-1_5
ID  - Astawa2025
ER  -