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Cited by 106Artificial Intelligence in EducationAcademic integrity and plagiarismEthics and Social Impacts of AI

The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.

Generative AI, Research Ethics, and Higher Education Research: Insights from a Scientometric Analysis

Open access
Qadhi, Saba Mansoor, Alduais, Ahmed, Chaaban, Youmen, Khraisheh, Majeda·2024·Information
DOI 10.3390/info15060325
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Abstract

In the digital age, the intersection of artificial intelligence (AI) and higher education (HE) poses novel ethical considerations, necessitating a comprehensive exploration of this multifaceted relationship. This study aims to quantify and characterize the current research trends and critically assess the discourse on ethical AI applications within HE. Employing a mixed-methods design, we integrated quantitative data from the Web of Science, Scopus, and the Lens databases with qualitative insights from selected studies to perform scientometric and content analyses, yielding a nuanced landscape of AI utilization in HE. Our results identified vital research areas through citation bursts, keyword co-occurrence, and thematic clusters. We provided a conceptual model for ethical AI integration in HE, encapsulating dichotomous perspectives on AI’s role in education. Three thematic clusters were identified: ethical frameworks and policy development, academic integrity and content creation, and student interaction with AI. The study concludes that, while AI offers substantial benefits for educational advancement, it also brings challenges that necessitate vigilant governance to uphold academic integrity and ethical standards. The implications extend to policymakers, educators, and AI developers, highlighting the need for ethical guidelines, AI literacy, and human-centered AI tools.

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Crossref · 10.3390/info15060325

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65 of 65 references verified0 citation errors · 0 not checkable

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Research works printed but not linked: 7

  1. Coffey, L. (2024, April 01). AI and Peer Review: Enemies or Allies?—Inside Higher Ed. Available online: https://ahrecs.com/latestnews/ai-and-peer-review-enemies-or-allies-inside-higher-ed-lauren-coffey-october-2023/.
  2. Zhang, J., Ji, X., Zhao, Z., Hei, X., and Choo, K.-K.R. (2023). Ethical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment. arXiv.
  3. Weidinger, L., Mellor, J.F.J., Rauh, M., Griffin, C., Uesato, J., Huang, P.-S., Cheng, M., Glaese, M., Balle, B., and Kasirzadeh, A. (2021). Ethical and Social Risks of Harm from Language Models. arXiv.
  4. Boyko, J., Cohen, J., Fox, N., Veiga, M.H., Li, J.I.-H., Liu, J., Modenesi, B., Rauch, A.H., Reid, K.N., and Tribedi, S. (2023). An Interdisciplinary Outlook on Large Language Models for Scientific Research. arXiv.
  5. Airaj, M. (2024). Education and Information Technologies, Springer.
  6. Khalaf, M.A. (2024). AI and Ethics, Springer.
  7. Qadhi, S., Alduais, A.M.S., Chaaban, Y., and Khraisheh, M. (2024). Experiences of Academics, Graduates, and Undergraduates in Using Generative AI in Research (Un)ethically and (Ir)responsibly: A Title Registration of Systematic Review of Qualitative Synthesis Protocol, Registered.

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Metadata

Authors
Qadhi, S. M., Alduais, A., Chaaban, Y., & Khraisheh, M.
Affiliations
  • Qatar University (QA)
  • University of Verona (IT)
Corresponding author
  • Qadhi, Saba Mansoor
  • Alduais, Ahmed
ORCID
Venue
Information
Publisher
MDPI AG
Published
2024-06-02
Volume
15
Issue
6
Pages
325
ISSN
2078-2489 (ISSN-L)
DOI
10.3390/info15060325
OpenAlex
W4399292151
Cited by
106
References
64
Citations by year
2026: 54 · 2025: 42 · 2024: 10
FWCI
39.98
Type
journal article
Language
en
Open access
Licence
Locations
  • Information (publishedVersion, cc-by)
  • Qatar University QSpace (Qatar University) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Qatar National Research Fund (QNRF), Academic Research Grant (ARG), granted to the College of Education, Qatar University (ARG01-0516-230177)
Topics
  • Social Sciences › Education › Artificial Intelligence in Education
  • Social Sciences › Education › Academic integrity and plagiarism
  • Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
Keywords
generative AI, research ethics, higher education research, ethical AI, artificial intelligence in education, academic integrity, AI-generated content, student-AI interaction, AI governance, AI literacy, research trends

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