Work

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

Year: 2025

Type: conference-paper

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.

DOI: 10.1145/3746469.3746485

Authors: Duowen Chen, Xudan Cui, Tianchi Liang

Institution: Northeastern University

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: gold

Funder: National Social Science Fund of China

Award: G4578522496