Navigating Academic Integrity in the Gen AI Era: Human and AI Editing Tool Use Among Online Professional Practice Doctoral Students

Publication Date

3-8-2025

Start Date

3-8-2025 1:15 PM

End Date

3-8-2025 1:45 PM

Presentation Type

Research Presentation

Showcase Track

Contemporary Issues in Higher Education (CIHE)

Abstract

Generative AI editing tools are transforming academic writing, raising critical questions about the appropriateness of pre-Gen AI academic integrity standards in professional practice doctoral programs. The purpose of this study is to understand how online professional practice doctoral students used editing tools between 2022 and 2025 to determine whether pre-Gen AI standards for academic integrity are appropriate. The research will analyze data through an ethical authorship model to provide policymakers with insights into students’ use of AI and human editors in professional practice doctoral writing. As Gen AI tools increasingly support academic writing, from content generation to proofreading, their impact on academic integrity has become increasingly complex. The study aims to provide empirical data on the interaction between AI, human editors, and academic writing by conducting a survey of doctoral students in online professional practice programs. Finally, recommendations for using editors, whether AI or humans, will be offered, emphasizing the need to assess research originality and academic merit separately from manuscript writing and presentation. This approach challenges traditional academic integrity frameworks and calls for policy reevaluation that reflects the evolving landscape of academic writing.

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Mar 8th, 1:15 PM Mar 8th, 1:45 PM

Navigating Academic Integrity in the Gen AI Era: Human and AI Editing Tool Use Among Online Professional Practice Doctoral Students

Generative AI editing tools are transforming academic writing, raising critical questions about the appropriateness of pre-Gen AI academic integrity standards in professional practice doctoral programs. The purpose of this study is to understand how online professional practice doctoral students used editing tools between 2022 and 2025 to determine whether pre-Gen AI standards for academic integrity are appropriate. The research will analyze data through an ethical authorship model to provide policymakers with insights into students’ use of AI and human editors in professional practice doctoral writing. As Gen AI tools increasingly support academic writing, from content generation to proofreading, their impact on academic integrity has become increasingly complex. The study aims to provide empirical data on the interaction between AI, human editors, and academic writing by conducting a survey of doctoral students in online professional practice programs. Finally, recommendations for using editors, whether AI or humans, will be offered, emphasizing the need to assess research originality and academic merit separately from manuscript writing and presentation. This approach challenges traditional academic integrity frameworks and calls for policy reevaluation that reflects the evolving landscape of academic writing.