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All Journal International Journal of Computer and Information System (IJCIS)
Lieztyanto, Yeeryzkhe Githasari
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Analysis of Final Exam Essay Answer Accuracy: The Role of Artificial Intelligence in Automatic Assessment Kriswibowo, Rony; Prayogo, Johan Suryo; Febriana, Rusina Widha; Setyawan, Agung Budi; Lieztyanto, Yeeryzkhe Githasari; Alia, Putri Ariatna
International Journal of Computer and Information System (IJCIS) Vol 5, No 4 (2024): IJCIS : Vol 5 - Issue 4 - 2024
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v5i4.204

Abstract

The issues investigated in this research include the accuracy of artificial intelligence (AI) scoring of essay answers, the challenges of validity and fairness in automated scoring, as well as potential biases in the algorithms used, and how these affect academic assessment results compared to human scoring. The method used in this study consists of several systematic steps. First, data was collected by asking relevant questions to an artificial intelligence (AI) platform. After that, the questions are inputted into AI platforms such as Copilot, Gemini, and Blackbox AI. Next, the resulting answers are analyzed using machine learning algorithms and natural language processing (NLP) to ensure the quality and depth of analysis. The answer results are then tested to evaluate their accuracy and relevance to the context of the question asked. the analysis results are visualized in the form of graphs or tables. this research shows that artificial intelligence (AI) has great potential in the automated assessment of essay answers. The results showed that Copilot got the highest score of 63.4%, Gemini 50.5% and Blackbox.AI 56.9%. However, the answer accuracy results between each AI Platform are still below 70%, meaning that the answers from the AI platform are still far from expectations. The next research recommendation is to retest the AI Platform using other methods to get accurate and consistent results.
Co-Authors Agung Budi Setyawan, Agung Budi Febriana, Rusina Widha Kriswibowo, Rony Prayogo, Johan Suryo Putri Ariatna Alia