ChatGPT-Driven Intelligent Educational Assessment: Algorithm, Challenges, and Ethical Considerations

This study empirically examines the impact of graduate students’ dependence on AI in academic writing and proposes corresponding regulatory strategies. The purpose of this paper is to address the practical application issues of AI-based writing tools in academic research. At present, AI writing tools have broken through the limitations of traditional writing methods and have significantly influenced academic writing practices, which deserves attention.

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Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1145/3746469.3746485
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00

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article

ChatGPT-Driven Intelligent Educational Assessment: Algorithm, Challenges, and Ethical Considerations

Duowen Chen, Xudan Cui, Tianchi Liang
Online Learning and Analytics
article

ChatGPT-Driven Intelligent Educational Assessment: Algorithm, Challenges, and Ethical Considerations

Duowen Chen, Xudan Cui, Tianchi Liang
article en

Abstract

This study empirically examines the impact of graduate students’ dependence on AI in academic writing and proposes corresponding regulatory strategies. The purpose of this paper is to address the practical application issues of AI-based writing tools in academic research. At present, AI writing tools have broken through the limitations of traditional writing methods and have significantly influenced academic writing practices, which deserves attention.

Northeastern University (CN)
National Social Science Fund of China
Openalex Percentile: Top 73%
Online Learning and Analytics
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ChatGPT-Driven Intelligent Educational Assessment: Algorithm, Challenges, and Ethical Considerations — Duowen Chen, Xudan Cui, et al. · (2025) | TGRS Research Map | TGRS