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Generative AI, Research Ethics, and Higher Education Research: Insights from a Scientometric Analysis
Open accessAbstract
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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“Recent studies show that students who learn in an environment where ethical values are lived-not just stated-are more receptive to topics related to algorithmic responsibility and show a greater willingness to engage in reflections on the regulation of AI [43,48-50].”
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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
- Venue
- Information
- Publisher
- MDPI AG
- Published
- 2024-06-02
- Volume
- 15
- Issue
- 6
- Pages
- 325
- ISSN
- 2078-2489 (ISSN-L)
- 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
- gold
- doi.org
- 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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