Aktual : Jurnal Pengabdian Kepada Masyarakat
Vol. 4 No. 2 (2026): Aktual: Jurnal Pengabdian Kepada Masyarakat

Human-AI Collaboration in Scientific Writing Training: A Quantitative Evaluation of Learning Effectiveness and Academic Integrity

Eko Risdianto (Universitas Bengkulu)
Nanik Setyowati (Universitas Bengkulu)
Mohammad Qaiz Rezvani (Rana University)
M. Abdul Jamal (The New College (University of Madras))
Mageswaran Sanmugam (Universiti Sains Malaysia)
M. Esad Kuloğlu (Abdullah Gül University)



Article Info

Publish Date
31 May 2026

Abstract

Background: The rapid advancement of Artificial Intelligence (AI) has significantly transformed academic writing practices, offering both opportunities and ethical challenges, particularly related to plagiarism and over-reliance on automated tools.Objectives: This study aims to evaluate the effectiveness of AI-assisted scientific writing training in enhancing participants’ writing skills, academic integrity awareness, and writing efficiency through a Human-AI Collaboration approach.Methods: A quantitative descriptive method was employed using a structured questionnaire consisting of 20 Likert-scale items administered to 85 participants. The instrument measured five dimensions: relevance and conceptual understanding, instructional quality, writing skill improvement, academic integrity awareness, and perceived impact. Data were analyzed using descriptive statistics, including mean scores and percentage distributions.Results: The findings reveal that the training achieved a very high level of effectiveness, with an overall mean score of 3.59. All variables were categorized as very high, with academic integrity awareness obtaining the highest mean score (3.70), indicating strong improvement in ethical understanding. Writing skill improvement showed relatively lower scores, suggesting the need for continuous practice.Conclusion: AI-assisted scientific writing training based on the Human-AI Collaboration framework is highly effective in improving scientific writing competence and promoting ethical awareness. This approach provides a balanced model integrating technical skills and academic integrity in AI-supported writing practices.

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Journal Info

Abbrev

aktual

Publisher

Subject

Computer Science & IT Education Engineering Environmental Science Public Health

Description

Aktual: Jurnal Pengabdian Kepada Masyarakat with ISSN : 2987-6052 is a journal managed by CV Media Inti Teknologi. Publish articles on community service activities in the fields of : Social Science Education Sains Technology Sports Languages Economy and Bussiness Engineering Art Law Health Aviation ...