CoChat
Sign Up
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
Open this paper in CoChat — free accountOpen PDF

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.

Overview

Integrity signals

Registry

Crossref · 10.3390/info15060325

Cites

65 of 65 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 64 references

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.

Cited by

Sorted by citations

Related

See all

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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review