Science Editing

Guidelines for scholarly journals on establishing and revising instructions for authors and editorial policies: Korean Association of Medical Journal Editors; Received October 10, 2024 Accepted October 14, 2024 Published online November 21, 2024; DOI: https://doi.org/10.6087/kcse.350 [Epub ahead of print]

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Improving manuscript quality in Asian science journals to take a leap forward in the next 5 years: Khoerul Umam, Komang G. Wiryawan, Supandi Supandi, Tae-Sul Seo, Eka Nana Susanti, Tirta Anhari; Received September 16, 2024 Accepted November 14, 2024 Published online November 14, 2024; DOI: https://doi.org/10.6087/kcse.349 [Epub ahead of print]

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A novel “conceive, design, implement, operate (CDIO)” framework for evaluating artificial intelligence–generated scholarly manuscripts: Aji Prasetya Wibawa, Anik Nur Handayani, Prananda Anugrah, Agung Bella Putra Utama; Received September 5, 2024 Accepted November 14, 2024 Published online November 14, 2024; DOI: https://doi.org/10.6087/kcse.348 [Epub ahead of print]

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Abstract PDF: This paper introduces a novel application of the “conceive, design, implement, operate (CDIO)” framework to improve the thoroughness and organization of academic editorial review processes. It demonstrates that the CDIO framework, originally applied to engineering education, can also be adapted for reviewing creative and interdisciplinary ideas. The adaptation of the CDIO framework for editorial review is already evident in scholarly publications, and this paper extends its application to include reviews of content produced by artificial intelligence (AI) platforms. The “conceive” stage focuses on developing clear research questions and objectives that align with the key moments of article conception. It ensures that content produced by AI begins with an ethical scientific foundation and maintains this integrity throughout the process. The “design” stage emphasizes maintaining scientific accuracy and clarity of presentation. It considers all critical manuscript design elements and incorporates methods to evaluate the originality and rationality of AI-generated data and analysis. The “implementation” stage is concerned with the effective communication of findings, providing insights into how the manuscript is perceived. It is crucial for data generation or tool usage involving AI. The “operate stage” involves analyzing the findings and their overall impact on the field, ensuring a comprehensive assessment from all perspectives when AI-generated content is integrated into academic discourse, which has broader implications. By applying the CDIO framework innovatively, this paper offers a systematic and comprehensive method for conducting editorial reviews. This ensures that manuscripts generated by AI are subjected to the same rigorous scrutiny as those authored by humans. This approach improves the quality, transparency, and reputation of scholarly publications. We examine each stage of the CDIO process, achieving uniformity and clarity, and providing a more precise evaluation of both traditional and AI-assisted academic research.

Report on the Asia Pacific Association of Medical Journal Editors 2024 Conference: Young Yoo; Received September 16, 2024 Accepted September 26, 2024 Published online October 14, 2024; DOI: https://doi.org/10.6087/kcse.347 [Epub ahead of print]

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AIgiarism is plagiarism: artificial intelligence can (be perceived to) plagiarize and can also be plagiarized: Bor Luen Tang; Received August 1, 2024 Accepted August 8, 2024 Published online September 13, 2024; DOI: https://doi.org/10.6087/kcse.346 [Epub ahead of print]

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Ahead-of print articles