The AI-lization in Academic Writing: Challenges and opportunities

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Authors: Xi Yu Lin, Tianjiao Zhao
Cited by: 0

Abstract

With the widespread use of AI tools in education, students’ writing increasingly reflects AI-generated styles. We named this emerging phenomenon “AI-lization.” This article examines AI-lization in academic writing, highlighting policy gaps and limitations of detection tools. It proposes strategies for higher-education stakeholders, including AI literacy education, reflective documentation, clear institutional guidelines, and transparent AI design, promoting authentic learning. By moving beyond detection-focused approaches, our work reconceptualizes originality as an evolving process and offers practical guidance for ethical AI integration, supporting creativity, reflection, and integrity in the AI era.

Fields of Study & Subjects

Academic integrity and plagiarism Artificial Intelligence in Education Ethics and Social Impacts of AI

Publication details

Journal / source
eLearn
Volume
2026
Issue
1
Publication date
22 January 2026
Language
EN