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The Evolution of Short Answer Grading Systems: From Manual Methods to AI-Driven Solutions with GPT-4

by Augustine O. Ugbari, Chidiebere Ugwu, Laeticia N. Onyejegbu
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 30
Year of Publication: 2024
Authors: Augustine O. Ugbari, Chidiebere Ugwu, Laeticia N. Onyejegbu
10.5120/ijca2024923846

Augustine O. Ugbari, Chidiebere Ugwu, Laeticia N. Onyejegbu . The Evolution of Short Answer Grading Systems: From Manual Methods to AI-Driven Solutions with GPT-4. International Journal of Computer Applications. 186, 30 ( Jul 2024), 33-39. DOI=10.5120/ijca2024923846

@article{ 10.5120/ijca2024923846,
author = { Augustine O. Ugbari, Chidiebere Ugwu, Laeticia N. Onyejegbu },
title = { The Evolution of Short Answer Grading Systems: From Manual Methods to AI-Driven Solutions with GPT-4 },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2024 },
volume = { 186 },
number = { 30 },
month = { Jul },
year = { 2024 },
issn = { 0975-8887 },
pages = { 33-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number30/the-evolution-of-short-answer-grading-systems-from-manual-methods-to-ai-driven-solutions-with-gpt-4/ },
doi = { 10.5120/ijca2024923846 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-07-26T23:00:35.484335+05:30
%A Augustine O. Ugbari
%A Chidiebere Ugwu
%A Laeticia N. Onyejegbu
%T The Evolution of Short Answer Grading Systems: From Manual Methods to AI-Driven Solutions with GPT-4
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 30
%P 33-39
%D 2024
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The evaluation of short answer responses has long been a critical component of educational assessments, providing insights into student comprehension and analytical skills. This paper traces the evolution of short answer grading systems from their inception in manual grading practices to the advent of AI-driven solutions, focusing particularly on the advancements brought by models like GPT-4. Through a comprehensive review of historical developments, technological advancements, and pedagogical impacts, this research provides a detailed understanding of the progression and future prospects of short answer grading systems.

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Index Terms

Computer Science
Information Sciences

Keywords

Short Answer Grading System GPT-4 Machine Learning.

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