Generative AI Grading in a Database Design Course: Initial Findings

Automated grading using Generative AI tools is an ongoing research topic as such platforms brings opportunity to reduce instructor’s workload. Some questions remain about how effective those tools are and if they are truly able to replicate an instructor grading and feedback. As part of a wider research project, we are analyzing the grading output of ChatGPT4 for a database design assignment. Our initial observations show the limitations of the platform even when provided with references such as assignment solution, grading rubric and grading examples.

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Publication Details

Journal
Journal of the Association for Information Systems
Published
2025-08-15
Primary Topic
Pulsed Power Technology Applications
Type
article
Field-Weighted Citation Impact
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article

Generative AI Grading in a Database Design Course: Initial Findings

Journal of the Association for Information Systems
Pulsed Power Technology Applications
article

Generative AI Grading in a Database Design Course: Initial Findings

article en

Abstract

Automated grading using Generative AI tools is an ongoing research topic as such platforms brings opportunity to reduce instructor’s workload. Some questions remain about how effective those tools are and if they are truly able to replicate an instructor grading and feedback. As part of a wider research project, we are analyzing the grading output of ChatGPT4 for a database design assignment. Our initial observations show the limitations of the platform even when provided with references such as assignment solution, grading rubric and grading examples.

Journal of the Association for Information Systems
San Francisco State University (US)
Openalex Percentile: Top 45%
Pulsed Power Technology Applications
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Generative AI Grading in a Database Design Course: Initial Findings · Journal of the Association for Information Systems (2025) | TGRS Research Map | TGRS