Science Editing

Training Material

Introduction to generative artificial intelligence tools for academic article writing: Joon Seo Lim; Sci Ed. 2026;13(1):58-62. Published online February 2, 2026; DOI: https://doi.org/10.6087/kcse.393

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Since the advent of ChatGPT, researchers have rapidly adopted generative artificial intelligence (AI) for academic work, with monthly use reported by 69.4% of natural science researchers and 51.2% of medical researchers. This educational article surveys AI tools for literature search and trend analysis, study-oriented article organization, and manuscript drafting and editing, while emphasizing that these tools complement—not replace—critical reading and standard database searches. For discovery and mapping, Research Rabbit and Connected Papers visualize related papers through citation links or content similarity, while Consensus summarizes the direction and strength of evidence addressing a focused research question. Elicit and SciSpace can extract methods and conclusions into structured tabular summaries to support scoping and gap identification, and STORM can generate knowledge maps for topic exploration; Liner offers research agents to support hypothesis generation and literature review. To extend reference-management workflows, the article proposes downloading relevant PDFs, uploading them to a large language model, extracting predefined fields (e.g., design, participants, interventions, outcomes, key statistics, limitations, and DOI) into a CSV file, and importing the output into a Notion database for tagging and tracking reading status. For writing support, SciSpace and Liner provide outline generation, citation assistance, and peer review style checks, whereas Paperpal, Wordvice.ai, and DeepL focus on grammar, paraphrasing, and translation, and Scite contextualizes citations by identifying whether they are supporting or contrasting. Key cautions include manual verification of AI outputs, awareness of English-language bias, avoidance of reliance on a single tool, and protection of manuscript confidentiality; authors must disclose AI use and remain accountable for accuracy. When used judiciously, these tools can streamline screening, summarization, and revision without eroding scholarly judgment.

Citations

Citations to this article as recorded by

How editors perceive the use of generative artificial intelligence in writing academic papers: a narrative review
Sun Huh
Journal of the Korean Medical Association.2026; 69(2): 111. CrossRef

Original Article

Internal affairs: the fate of authors from the University of the Philippines accused of plagiarism, 1990s to 2010s: Miguel Paolo P. Reyes, Joel F. Ariate; Sci Ed. 2019;6(2):128-136. Published online August 19, 2019; DOI: https://doi.org/10.6087/kcse.173

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Abstract PDF

Purpose
This study centers on 25 cases of plagiarism in scientific publications committed by faculty members and students of the University of the Philippines and dealt with by eight of the university’s academic publishers.
Methods
We focus on the publishers’ responses to these cases, details of which we obtained from various sources, vis-à-vis the University of the Philippines’ policies on plagiarism.
Results
The responses to plagiarism were found to vary, at times seemingly arbitrarily, but tended toward protecting the identities or details of the accused, unless the case became publicized.
Conclusion
Such maintenance of confidentiality is inimical to the fulfillment of academic publishers’ duties to the rest of the academic community. We herein suggest policies to address the identified deficits.

Citations

Citations to this article as recorded by

In What Ways Do Educators Respond to Plagiarism Among Students?
John Rey Osben Pelila, Johnell Bringas Desalit, Bernadette Lamsis Soliba
ETDC: Indonesian Journal of Research and Educational Review .2024; 3(4): 1. CrossRef
Fragmented or centralized?: Comparative case study of ethical frameworks for social research in Philippines and Taiwan
Jayson Troy F. Bajar
International Journal of Ethics Education.2022; 7(2): 235. CrossRef

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