Cited by 14Artificial Intelligence in EducationArtificial Intelligence in Healthcare and EducationAcademic integrity and plagiarism

Harnessing Artificial Intelligence for Enhanced Scientific Collaboration: Insights from Students and Educational Implications

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Gawlik-Kobylińska, Małgorzata·2024·Education Sciences

Abstract

This study aimed to explore students’ perspectives on integrating artificial intelligence (AI) into scientific collaboration, specifically on writing academic articles and creating scientific posters. The research employed open-ended interviews conducted among 61 civil and military students. Opinions were labelled, coded, and gathered into the following categories: positive impact on collaboration, challenges faced, and educational impact. Among the positives were improving efficiency, enhancing the quality of work, and generating new ideas. The challenges concerned experiencing technical difficulties with AI tools, inconsistency in AI outputs, and AI dependence, which may lead to behaviours on the verge of addiction. Regarding educational impact, students noticed that AI helps improve learning new skills, increases engagement in the task, and enhances critical thinking. As one researcher performed the thematic analyses, Cohen’s Kappa statistic was used to ensure intra-coder reliability. This study highlights the need for further research to optimize the use of AI in scientific collaboration while addressing ethical concerns related to students’ motivations for using AI tools, promoting responsible use, and researching students’ emotions, cognitive processes, and behaviours resulting from their interactions with AI tools. The research provides valuable insights for educators and policymakers to integrate AI effectively into academic practice.

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  • AI enhances efficiency and idea generation in academic collaboration but raises concerns about technical difficulties, over-reliance, and ethical considerations.

    “AI enhances efficiency and idea generation in academic collaboration but raises concerns about technical difficulties, over-reliance, and ethical considerations.”
  • Some AI-generated content may be based on pre-existing data and training sets that include inaccuracies or biased perspectives, leading to concerns that AI models could inadvertently produce responses resembling previously published or even discredited materials.

    “Furthermore, some AI-generated content may be based on pre-existing data and training sets that include inaccuracies or biased perspectives, leading to concerns that AI models could inadvertently produce responses that resemble previously published or even discredited materials.”
  • Some academic institutions have updated their academic integrity policies to address AI-related concerns, introducing AI-detection software and stricter guidelines on AI-assisted writing.

    “Some institutions have already updated their academic integrity policies to address AI-related concerns, introducing AI-detection software and stricter guidelines on AI-assisted writing [6,19].”

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Authors
Gawlik-Kobylińska, M.
Affiliations
War Studies Academy (PL)
Corresponding author
Gawlik-Kobylińska, Małgorzata
Venue
Education Sciences
Publisher
MDPI AG
Published
2024-10-18
Volume
14
Issue
10
Pages
1132
ISSN
2227-7102 (ISSN-L)
OpenAlex
W4403515825
Cited by
14
References
18
Citations by year
2026: 7 · 2025: 7
FWCI
5.28
Type
journal article
Language
en
Open access
Locations
  • Education Sciences (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
War Studies University (II.2.117 (121))
Topics
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Social Sciences › Safety Research › Academic integrity and plagiarism
Keywords
artificial intelligence in education, research collaboration, academic writing, research posters, student perceptions, AI dependency, critical thinking, responsible AI use

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