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.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
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.
“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].”
Cites
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-019-0171-0 · Cited by 7,242 · see citing works
The global landscape of AI ethics guidelines
Jobin, A., Ienca, M., & Vayena, E. (2019) · Nature Machine Intelligence · doi:10.1038/s42256-019-0088-2 · Cited by 6,220 · see citing works
Sallam, M. (2023) · Healthcare · doi:10.3390/healthcare11060887 · Cited by 3,126 · see citing works
A Survey on Evaluation of Large Language Models
Chang, Y., Wang, X., Wang, J., Wu, Y., Yang, L., Zhu, K., Chen, H., Yi, X., Wang, C., Wang, Y., et al. (2024) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/3641289 · Cited by 2,842 · see citing works
The Ethics of AI Ethics: An Evaluation of Guidelines
Hagendorff, T. (2020) · Minds and Machines · doi:10.1007/s11023-020-09517-8 · Cited by 1,911 · see citing works
ChatGPT: five priorities for research
van Dis, E. A. M., Bollen, J., Zuidema, W., van Rooij, R., & Bockting, C. L. (2023) · Nature · doi:10.1038/d41586-023-00288-7 · Cited by 1,842 · see citing works
A comprehensive AI policy education framework for university teaching and learning
Chan, C. K. Y. (2023) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-023-00408-3 · Cited by 1,577 · see citing works
Gao, C. A., Howard, F. M., Markov, N. S., Dyer, E. C., Ramesh, S., Luo, Y., & Pearson, A. T. (2023) · npj Digital Medicine · doi:10.1038/s41746-023-00819-6 · Cited by 1,099 · see citing works
Practical and ethical challenges of large language models in education: A systematic scoping review
Yan, L., Sha, L., Zhao, L., Li, Y., Martinez‐Maldonado, R., Chen, G., Li, X., Jin, Y., & Gašević, D. (2024) · British Journal of Educational Technology · doi:10.1111/bjet.13370 · Cited by 935 · see citing works
Lund, B. D., Wang, T., Mannuru, N. R., Nie, B., Shimray, S., & Wang, Z. (2023) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24750 · Cited by 919 · see citing works
Can artificial intelligence help for scientific writing?
Salvagno, M., Taccone, F. S., & Gerli, A. G. (2023) · Critical Care · doi:10.1186/s13054-023-04380-2 · Cited by 827 · see citing works
Taxonomy of Risks posed by Language Models
Weidinger, L., Uesato, J., Rauh, M., Griffin, C., Huang, P.-S., Mellor, J., Glaese, A., Cheng, M., Balle, B., Kasirzadeh, A., et al. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency · doi:10.1145/3531146.3533088 · Cited by 764 · see citing works
Discourses of artificial intelligence in higher education: a critical literature review
Bearman, M., Ryan, J., & Ajjawi, R. (2023) · Higher Education · doi:10.1007/s10734-022-00937-2 · Cited by 545 · see citing works
Impact of ChatGPT on ESL students’ academic writing skills: a mixed methods intervention study
Mahapatra, S. (2024) · Smart Learning Environments · doi:10.1186/s40561-024-00295-9 · Cited by 398 · see citing works
Using AI to write scholarly publications
Hosseini, M., Rasmussen, L. M., & Resnik, D. B. (2024) · Accountability in Research · doi:10.1080/08989621.2023.2168535 · Cited by 286 · see citing works
A Chat(GPT) about the future of scientific publishing
Hill-Yardin, E. L., Hutchinson, M. R., Laycock, R., & Spencer, S. J. (2023) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2023.02.022 · Cited by 270 · see citing works
The ethics of disclosing the use of artificial intelligence tools in writing scholarly manuscripts
Hosseini, M., Resnik, D. B., & Holmes, K. (2023) · Research Ethics · doi:10.1177/17470161231180449 · Cited by 253 · see citing works
Polyportis, A., & Pahos, N. (2024) · Behaviour and Information Technology · doi:10.1080/0144929x.2024.2317364 · Cited by 249 · see citing works
Grájeda, A., Burgos, J., Olivera, P. C., & Sanjinés, A. (2023) · Cogent Education · doi:10.1080/2331186x.2023.2287917 · Cited by 240 · see citing works
Tossell, C. C., Tenhundfeld, N. L., Momen, A., Cooley, K., & de Visser, E. J. (2024) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2024.3355015 · Cited by 218 · see citing works
Qureshı, R., Shaughnessy, D. P., Gill, K., Robinson, K. A., Li, T., & Agai, E. (2023) · Systematic Reviews · doi:10.1186/s13643-023-02243-z · Cited by 217 · see citing works
Ansari, A. N., Ahmad, S., & Bhutta, S. M. (2024) · Education and Information Technologies · doi:10.1007/s10639-023-12223-4 · Cited by 198 · see citing works
Is using ChatGPT cheating, plagiarism, both, neither, or forward thinking?
Anders, B. A. (2023) · Patterns · doi:10.1016/j.patter.2023.100694 · Cited by 192 · see citing works
ENAI Recommendations on the ethical use of Artificial Intelligence in Education
Foltynek, T., Bjelobaba, S., Glendinning, I., Khan, Z. R., Santos, R., Pavletic, P., & Kravjar, J. (2023) · International Journal for Educational Integrity · doi:10.1007/s40979-023-00133-4 · Cited by 180 · see citing works
Can ChatGPT effectively complement teacher assessment of undergraduate students’ academic writing?
Lu, Q., Yao, Y., Xiao, L., Yuan, M., Wang, J., & Zhu, X. (2024) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2024.2301722 · Cited by 158 · see citing works
Jang, Y., Choi, S., & Kim, H. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-11086-5 · Cited by 150 · see citing works
Vetter, M. A., Lucia, B., Jiang, J., & Othman, M. (2024) · Computers & composition/Computers and composition · doi:10.1016/j.compcom.2024.102831 · Cited by 121 · see citing works
How ChatGPT and other AI tools could disrupt scientific publishing
Conroy, G. (2023) · Nature · doi:10.1038/d41586-023-03144-w · Cited by 121 · see citing works
Machine learning and artificial intelligence in neuroscience: A primer for researchers
Badrulhisham, F., Pogatzki-Zahn, E. M., Segelcke, D., Spisák, T., & Vollert, J. (2023) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2023.11.005 · Cited by 109 · see citing works
AUTOGEN: A Personalized Large Language Model for Academic Enhancement—Ethics and Proof of Principle
Mann, S. P., Earp, B. D., Møller, N., Suren, V., & Savulescu, J. (2023) · The American Journal of Bioethics · doi:10.1080/15265161.2023.2233356 · Cited by 107 · see citing works
Fadlelmula, F. K., & Qadhi, S. M. (2024) · Journal of University Teaching and Learning Practice · doi:10.53761/pswgbw82 · Cited by 102 · see citing works
Self-citation‘ChatGPT et al.’: The ethics of using (generative) artificial intelligence in research and science
Schlagwein, D., & Willcocks, L. (2023) · Journal of Information Technology · doi:10.1177/02683962231200411 · Cited by 97 · see citing works
Students’ appraisals post-ChatGPT use: Students’ narrative after using ChatGPT for writing
Nugroho, A., Andriyanti, E., Widodo, P., & Mutiaraningrum, I. (2024) · Innovations in Education and Teaching International · doi:10.1080/14703297.2024.2319184 · Cited by 95 · see citing works
Large language model applications for evaluation: Opportunities and ethical implications
Head, C. B., Jasper, P., McConnachie, M. M., Raftree, L., & Higdon, G. L. (2023) · New Directions for Evaluation · doi:10.1002/ev.20556 · Cited by 85 · see citing works
Knowledge, Perceptions and Attitude of Researchers Towards Using ChatGPT in Research
Abdelhafiz, A. S., Ali, A. M. M., Maaly, A. M., Ziady, H. H., Sultan, E. A., & Mahgoub, M. A. (2024) · Journal of Medical Systems · doi:10.1007/s10916-024-02044-4 · Cited by 76 · see citing works
Large Language Models in Neurology Research and Future Practice
Romano, M. F., Shih, L. C., Paschalidis, I. C., Au, R., & Kolachalama, V. B. (2023) · Neurology · doi:10.1212/wnl.0000000000207967 · Cited by 73 · see citing works
Duah, J. E., & McGivern, P. (2024) · The International Journal of Information and Learning Technology · doi:10.1108/ijilt-11-2023-0213 · Cited by 67 · see citing works
Artificial Intelligence in Higher Education: An Analysis of Existing Bibliometrics
López-Chila, R., Llerena-Izquierdo, J., Nacipucha, N. A. S., & Estrada, J. M. C. (2023) · Education Sciences · doi:10.3390/educsci14010047 · Cited by 65 · see citing works
Zaitsu, W., & Jin, M. (2023) · PLoS ONE · doi:10.1371/journal.pone.0288453 · Cited by 61 · see citing works
AI amplifies the tough question: What is higher education really for?
Kramm, N., & McKenna, S. (2023) · Teaching in Higher Education · doi:10.1080/13562517.2023.2263839 · Cited by 60 · see citing works
Marengo, A., Pagano, A., Pange, J., & Soomro, K. (2024) · Interactive Technology and Smart Education · doi:10.1108/itse-11-2023-0218 · Cited by 56 · see citing works
Dashti, M., Londono, J., Ghasemi, S., Khurshid, Z., Khosraviani, F., Moghaddasi, N., Zafar, M. S., & Hefzi, D. (2024) · Journal of Taibah University Medical Sciences · doi:10.1016/j.jtumed.2023.12.010 · Cited by 51 · see citing works
Artificial Intelligence and Teachers’ New Ethical Obligations
Adams, C., Pente, P., Lemermeyer, G., Turville, J., & Rockwell, G. (2022) · The International Review of Information Ethics · doi:10.29173/irie483 · Cited by 49 · see citing works
Muthanna, A., & Alduais, A. M. S. (2020) · Journal of Academic Ethics · doi:10.1007/s10805-020-09368-z · Cited by 37 · see citing works
Self-citationInfluence of artificial intelligence and chatbots on research integrity and publication ethics
Kasani, P. H., Cho, K. H., Jang, J., & Yun, C. (2024) · Science Editing · doi:10.6087/kcse.323 · Cited by 35 · see citing works
Wong, M., Lim, Z. W., Pushpanathan, K., Cheung, C. Y.-L., Wang, Y. X., Chen, D. Z., & Tham, Y. C. (2023) · British Journal of Ophthalmology · doi:10.1136/bjo-2023-324734 · Cited by 29 · see citing works
Awosanya, O. D., Harris, A., Creecy, A., Qiao, X., Toepp, A. J., McCune, T. R., Kacena, M. A., & Ozanne, M. V. (2024) · Current Osteoporosis Reports · doi:10.1007/s11914-023-00855-x · Cited by 28 · see citing works
A model of the interrelationship between research ethics and research integrity
Muthanna, A., Chaaban, Y., & Qadhi, S. M. (2023) · International Journal of Qualitative Studies on Health and Well-Being · doi:10.1080/17482631.2023.2295151 · Cited by 26 · see citing works
Self-citationMcGuire, A. (2023) · Irish Journal of Technology Enhanced Learning · doi:10.22554/ijtel.v7i2.131 · Cited by 25 · see citing works
The Interrelationship of Reflexivity, Sensitivity and Integrity in Conducting Interviews
Muthanna, A., & Alduais, A. M. S. (2023) · Behavioral Sciences · doi:10.3390/bs13030218 · Cited by 23 · see citing works
Self-citationShaping the Emerging Norms of Using Large Language Models in Social Computing Research
Shen, H., Li, T., Li, T. J.-J., Park, J. S., & Yang, D. (2023) · Computer Supported Cooperative Work and Social Computing · doi:10.1145/3584931.3606955 · Cited by 21 · see citing works
potential of Large Language Models in language education
Гаманюк, В. А. (2021) · Educational Dimension · doi:10.31812/ed.650 · Cited by 17 · see citing works
Abu‐Jeyyab, M., Alrosan, S., & Alkhawaldeh, I. M. (2023) · High Yield Medical Reviews · doi:10.59707/hymrfbya5348 · Cited by 15 · see citing works
Potential impact of large language models on academic writing
Alahdab, F. (2023) · BMJ Evidence-Based Medicine · doi:10.1136/bmjebm-2023-112429 · Cited by 13 · see citing works
Williams, N., Ivanov, S., & Buhalis, D. (2023) · arXiv.org · doi:10.48550/arxiv.2303.07304 · Cited by 12 · see citing works
Parker, J., Richard, V. M., & Becker, K. (2023) · The Qualitative Report · doi:10.46743/2160-3715/2023.6801 · Cited by 12 · see citing works
Artificial Intelligence in Higher Education and Scientific Research
Roumate, F. (2023) · Bridging human and machine: future education with intelligence · doi:10.1007/978-981-19-8641-3 · Cited by 12 · see citing works
Resnik, D. B., & Hosseini, M. (2023) · The American Journal of Bioethics · doi:10.1080/15265161.2023.2250276 · Cited by 11 · see citing works
Goel, R. K., & Nelson, M. A. (2024) · Managerial and Decision Economics · doi:10.1002/mde.4139 · Cited by 10 · see citing works
Ethical considerations in the use of Machine Learning for research and statistics.
Toms, A., & Whitworth, S. (2022) · International Journal for Population Data Science · doi:10.23889/ijpds.v7i3.1921 · Cited by 9 · see citing works
Editorial —Artificial Intelligence language models in scientific writing
Muga, J. G. (2023) · Europhysics Letters (EPL) · doi:10.1209/0295-5075/ace3ef · Cited by 8 · see citing works
Large Language Models and Inclusivity in Bioethics Scholarship
Varma, S. (2023) · The American Journal of Bioethics · doi:10.1080/15265161.2023.2250286 · Cited by 4 · see citing works
The influence of Large Language Models on systematic review and research dissemination
Baradziej, S. (2023) · Septentrio Conference Series · doi:10.7557/5.7240 · Cited by 3 · see citing works
The Ethics of (Non)disclosure: Large Language Models in Professional, Nonacademic Writing Contexts
Piller, E. (2023) · Rupkatha Journal on Interdisciplinary Studies in Humanities · doi:10.21659/rupkatha.v15n4.02 · Cited by 2 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Schmidt, D. A., Alboloushi, B., Thomas, A., & Magalhães, R. (2025) · Computers and Education Open · doi:10.1016/j.caeo.2025.100274 · Cited by 171 · see citing works
Shaping generative AI governance in higher education: Insights from student perception
Barus, O. P., Hidayanto, A. N., Handri, E. Y., Sensuse, D. I., & Yaiprasert, C. (2025) · International Journal of Educational Research Open · doi:10.1016/j.ijedro.2025.100452 · Cited by 93 · see citing works
Oncioiu, I., & Bularca, A. R. (2025) · Societies · doi:10.3390/soc15060144 · Cited by 64 · see citing works
Buele, J., & Llerena-Aguirre, L. A. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1603763 · Cited by 64 · see citing works
A Systematic Review of AI Ethics in Education
Yan, Y., Liu, H., & Chau, T. (2025) · Journal of Global Information Management · doi:10.4018/jgim.386381 · Cited by 102 · see citing works
Mapping Tomorrow’s Teaching and Learning Spaces: A Systematic Review on GenAI in Higher Education
Tillmanns, T., Filho, A. S., Rudra, S., Weber, P., Dawitz, J., Wiersma, E., Dudenaite, D., & REYNOLDS, S. L. (2025) · Trends in Higher Education · doi:10.3390/higheredu4010002 · Cited by 78 · see citing works
Abulibdeh, A. O., Chatti, C. B., Alkhereibi, A. H., & El-Menshawy, S. (2025) · European Journal of Education · doi:10.1111/ejed.12908 · Cited by 48 · see citing works
Students' perceptions of artificial intelligence integration in higher education
Slimi, Z., Benayoune, A., & Alemu, A. E. (2025) · European Journal of Educational Research · doi:10.12973/eu-jer.14.2.471 · Cited by 38 · see citing works
Navigating the Ethical Terrain of AI-Generated Text Tools: A Review
Mohamed, Y. A., Mohamed, A. H. H. M., Khanan, A., Bashir, M., Adiel, M. A. E., & Elsadig, M. A. (2024) · IEEE Access · doi:10.1109/access.2024.3521945 · Cited by 40 · see citing works
Aladsani, H. K. (2025) · Interactive Learning Environments · doi:10.1080/10494820.2025.2487517 · Cited by 33 · see citing works
Alduais, A., Qadhi, S., Chaaban, Y., & Khraisheh, M. (2025) · Serials Review · doi:10.1080/00987913.2025.2581429 · Cited by 37 · see citing works
Self-citationCui, Y., & Hai, Z. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13448-1 · Cited by 36 · see citing works
Perceptions, adoption intentions, and impacts of generative AI among Chinese university students
Zhang, R., & Wang, J. (2025) · Current Psychology · doi:10.1007/s12144-025-07928-3 · Cited by 35 · see citing works
A Meta-Survey of Generative AI in Education: Trends, Challenges, and Research Directions
Bouguettaya, S., Pupo, F., Chen, M., & Fortino, G. (2025) · Big Data and Cognitive Computing · doi:10.3390/bdcc9090237 · Cited by 36 · see citing works
Ethical Use of Generative Artificial Intelligence Among Ecuadorian University Students
Buele, J., García, Á. R. S., Sabando-García, B. J., & Yánez-Rueda, H. (2025) · Sustainability · doi:10.3390/su17104435 · Cited by 21 · see citing works
Ethical Problems in the Use of Artificial Intelligence by University Educators
Chinoracký, R., & Stalmašeková, N. (2025) · Education Sciences · doi:10.3390/educsci15101322 · Cited by 33 · see citing works
Kostopolus, E. (2024) · Computers & composition/Computers and composition · doi:10.1016/j.compcom.2024.102894 · Cited by 20 · see citing works
Understanding Researchers’ AI Readiness in a Higher Education Context: Q Methodology Research
Chaaban, Y., Qadhi, S., Chen, J., & Du, X. (2024) · Education Sciences · doi:10.3390/educsci14070709 · Cited by 19 · see citing works
Self-citationAI Ethics in the Fields of Education and Research: A Systematic Literature Review
Contreras, M. R., & JAIMES, J. O. P. (2024) · International Symposium on Accreditation of Engineering and Computing Education (ICACIT) · doi:10.1109/icacit62963.2024.10788651 · Cited by 24 · see citing works
Tong, A., Zainol, Z., Chong, T. S., & Renganathan, K. (2025) · Young Consumers Insight and Ideas for Responsible Marketers · doi:10.1108/yc-10-2024-2303 · Cited by 16 · see citing works
Sensory Processing Measure and Sensory Integration Theory: A Scientometric and Narrative Synthesis
Alotaibi, H. M., Alduais, A. M. S., Qasem, F. A. A., & Alasmari, M. (2025) · Behavioral Sciences · doi:10.3390/bs15030395 · Cited by 10 · see citing works
Self-citationA scientometric study of pre-service teacher preparation for educational equity and social justice
Chaaban, Y. (2024) · Teaching Education · doi:10.1080/10476210.2024.2432891 · Cited by 9 · see citing works
Self-citationOubibi, M. (2025) · Journal of Computers in Education · doi:10.1007/s40692-025-00364-z · Cited by 11 · see citing works
Eddine, R. J., Gide, E., & Al-Sabbagh, A. (2025) · STEM Education · doi:10.3934/steme.2025035 · Cited by 12 · see citing works
Arista, A., Shuib, L. M., & Ismail, M. A. (2024) · International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS) · doi:10.1109/icimcis63449.2024.10956736 · Cited by 8 · see citing works
Examining Student Teachers’ Agency in an AI-Supported Learning Environment: Q Methodology Research
Chaaban, Y., Jung, S.-G., Medina, J., Azem, J. Y., Salminen, J. O., & Jansen, B. J. J. (2025) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-025-00529-y · Cited by 10 · see citing works
Self-citationThe ETHICAL Protocol for Responsible Use of Generative AI for Research Purposes in Higher Education
Alduais, A. M. S., Qadhi, S., Chaaban, Y., & Khraisheh, M. A. M. (2025) · AI Magazine · doi:10.1002/aaai.70047 · Cited by 8 · see citing works
Self-citationAdewojo, A. A. (2025) · The Electronic Library · doi:10.1108/el-05-2025-0166 · Cited by 5 · see citing works
Ngo, T. N., & Fians, G. (2026) · Journal of English for Academic Purposes · doi:10.1016/j.jeap.2026.101680 · Cited by 6 · see citing works
Lukmanjaya, W., Butler, T. G., Cox, S. L., Perez‐Concha, O., Bromfield, L., & Karystianis, G. (2025) · JMIR Pediatrics and Parenting · doi:10.2196/73579 · Cited by 4 · see citing works
GenAI: a scientometric analysis of research trends using biblioshiny and VOSviewer
Pabreja, K., Verma, R., & Kumar, A. (2025) · Discover Artificial Intelligence · doi:10.1007/s44163-025-00760-5 · Cited by 8 · see citing works
Qadhi, S. M., Alduais, A. M. S., Chaaban, Y., & Khraisheh, M. A. M. (2026) · The International Information & Library Review · doi:10.1080/10572317.2026.2626122 · Cited by 4 · see citing works
Self-citationGenerative AI and the visibility of scholarly contribution in tourism research
Ali, F. (2026) · Annals of Tourism Research · doi:10.1016/j.annals.2026.104140 · Cited by 4 · see citing works
Zhang, W., Qin, C., Zhang, W., & Zhang, W. (2026) · Journal of Knowledge Management · doi:10.1108/jkm-03-2025-0315 · Cited by 5 · see citing works
Examining the use of artificial intelligence in pre-service teacher education
Ponomarenko, E. B., Sergeeva, O. V., ZHELTUKHINA, M. R., Baranova, K. M., Budkevich, R. L., & Melnik, M. V. (2026) · Contemporary Educational Technology · doi:10.30935/cedtech/18458 · Cited by 4 · see citing works
From tool to collaborator: rethinking GIScience as GIS becomes agentic and autonomous
Kazazi, A. K., & Li, Z. (2026) · International Journal of Digital Earth · doi:10.1080/17538947.2026.2687228 · Cited by 4 · see citing works
Hooper, K., & Lunn, S. J. (2024) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie61694.2024.10893167 · Cited by 4 · see citing works
Ekmekçi, P. E., Buruk, B., Akar, B., & Akışın, Y. A. (2025) · Journal of Empirical Research on Human Research Ethics · doi:10.1177/15562646251370869 · Cited by 4 · see citing works
Agarwal, B., Urlings, C. C., van Lankveld, G., & Klemke, R. (2026) · International Journal of Artificial Intelligence in Education · doi:10.1016/j.ijaied.2026.100004 · Cited by 6 · see citing works
Generative AI Adoption in Nigerian Higher Education
Ebiringa, O. T., Ikerionwu, C., Erike, A. I., & Asiegbu, B. C. (2025) · African Journal of Humanities and Contemporary Education Research · doi:10.62154/ajhcer.2025.020.01028 · Cited by 3 · see citing works
Qadhi, S. M., Habibi, A., Chaaban, Y., & Khraisheh, M. A. M. (2025) · Cogent Education · doi:10.1080/2331186x.2025.2587487 · Cited by 8 · see citing works
Self-citationThe implications of artificial intelligence usage on management students’ academic productivity
Idrissi, I. E., & Alami, Y. (2025) · Artificial Intelligence in Education · doi:10.1108/aiie-05-2025-0103 · Cited by 6 · see citing works
Erdoğan, F., Tutak, T., & Polat, M. (2026) · Journal of Baltic Science Education · doi:10.33225/jbse/26.25.22 · Cited by 6 · see citing works
Jou, M., & Kao, C.-C. (2026) · Journal of Computing in Higher Education · doi:10.1007/s12528-026-09501-8 · Cited by 3 · see citing works
Restructuring the Landscape of Generative AI Research
Edam, S. M. I. (2024) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-0884-4.ch012 · Cited by 3 · see citing works
Karmakar, D., Das, A., & Khati, A. (2025) · Advances in human and social aspects of technology book series · doi:10.4018/979-8-3693-9035-1.ch008 · Cited by 3 · see citing works
Leveraging Artificial Intelligence Tools for Learning
Ogalo, E. O., & Mtenzi, F. J. (2024) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3373-0025-2.ch001 · Cited by 5 · see citing works
Guarding truth in an AI world: ethics for the next generation of scholarship
Mubarak, F. (2026) · Journal of Information Communication and Ethics in Society · doi:10.1108/jices-09-2025-0241 · Cited by 2 · see citing works
Obied, A. S., & Ali, A. H. (2026) · Frontiers in Education · doi:10.3389/feduc.2026.1906579 · Cited by 3 · see citing works
Guruprakash, J., Pradeep, P., & Krithika, L. B. (2025) · IEEE Access · doi:10.1109/access.2025.3558833 · Cited by 1 · see citing works
“Artificial Intelligence” and Library Subject Guides
Adler, J. M. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-2612-2.ch007 · Cited by 1 · see citing works
Ziyang, X. (2025) · Proceedings of the Association for Information Science and Technology · doi:10.1002/pra2.1297 · Cited by 1 · see citing works
Prianto, C., Komaro, M., & Saripudin (2026) · Language, Technology, and Social Media. · doi:10.70211/ltsm.3026-7196.403 · Cited by 1 · see citing works
Antecedents and Consequences of AI Misuse Among University Students: An Empirical Investigation
Zhang, H., & Chen, Y. (2026) · Education Sciences · doi:10.3390/educsci16071087 · Cited by 1 · see citing works
Using ChatGPT for developing and simulating a circuit in VHDL
Andreatos, A. S. (2024) · Pan-Hellenic Conference on Progress in Computing and Informatics (PCI) · doi:10.1145/3716554.3716575
Using AI to Address Demographic-Specific Challenges in Manual Handling Safety
da Silva, T. M. H. R. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-9301-7.ch016
Decade-Spanning Bibliometric Visual Analytics for AI Literacy
Zhou, Q., Ding, L., & Liu, J. (2025) · International Conference on Digital Education and Information Technology (DEIT) · doi:10.1145/3732299.3732340
Exploring the Analytics Readiness Among Students in Kumasi Technical University, Ghana
Amos, E., Essel, H. B., Fobiri, G. K., Boakye, A. A., & Ampadu, Y. B. (2025) · SAGE Open · doi:10.1177/21582440251368938
Manoj Kumar, A. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-2185-1.ch012
Sánchez, M. C., Steverlynck, M. V., Valdés, C. A., Borga, M. S., & Silvetti, R. (2025) · Research Square · doi:10.21203/rs.3.rs-7539154/v1
AI Literacy in Higher Education
Balaji, A. C. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-7386-7.ch006
Nimrud, A. H., Al-Rubay, S. H. A., Ali, Z. A. A. W., Hasan, M., Hamza, A. A., Read, S. A., & Madi, A. (2025) · International Conference on Cyber Resilience (ICCR) · doi:10.1109/iccr67387.2025.11292580
Yuniarto, D., Setiadi, D., Ningrum, D., Aprilianti, R., Kartiwa, A., & Mahardika, F. (2025) · International Conference on Cyber and IT Service Management (CITSM) · doi:10.1109/citsm67730.2025.11291318
A Systematic Review of Empirical Studies Fostering Generative AI Literacy in Higher Education
Xu, L., Ng, D. T. K., Deng, H., & Leung, J. K. L. (2025) · Bridging human and machine: future education with intelligence · doi:10.1007/978-981-95-0950-8_8
Bridging Gaps in Generative AI Use for Academic Writing: Insights from Moroccan Engineering Students
Boustane, H., Chroqui, R., & Sabil, A. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-07785-1_22
Ethical Concerns over AI Learning in Higher Education: A Survey of Curriculum Coverage
Rahaman, J., Alhazmi, A. K., Zeki, A. M., & Alsakkaf, N. (2025) · International Workshop on Artificial Intelligence and Education (WAIE) · doi:10.1109/waie67422.2025.11381255
Risbakk, J., & Skogstad, M. R. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-17272-3_17
Charting the Path to 2030 By AI in Higher Education
Ara, A., & Das, S. (2026) · Springer eBooks · doi:10.1007/978-981-95-5350-1_8
Machine Learning-Based Extensible Analytics Platform for Heterogeneous Medical Data Analysis
Yadav, H., Gupta, R., & Arya, B. (2026) · International Journal of Latest Technology in Engineering Management & Applied Science · doi:10.51583/ijltemas.2026.150300113
Riska, S. Y., Widiyaningtyas, T., Elmunsyah, H., & Sendari, S. (2026) · Jurnal Ilmiah Teknologi Informasi Asia · doi:10.32815/jitika.1227
The FAIRSPOT Framework: A Meta-Bibliometric Analysis of Ethical AI in Higher Education
Evans, N. D. (2026) · Springer eBooks · doi:10.1007/978-981-95-8240-2_12
Artificial Intelligence in Higher Education: Prospects, Challenges, and Strategic Implications
Gamage, A. N. K. K. (2026) · Eduphoria. · doi:10.59231/eduphoria/230484
Gumede, D., & Gumede, P. R. (2026) · Discover Artificial Intelligence · doi:10.1007/s44163-026-01476-w
Academic AI Ethics: The Normative Limits of Generative Artificial Intelligence in Higher Education
Essiz, D. (2026) · Temaşa Erciyes Üniversitesi Felsefe Bölümü Dergisi · doi:10.55256/temasa.1911850
Meyer, F., Miggelbrink, J., & Nguyễn, P. (2026) · International Journal of Qualitative Methods · doi:10.1177/16094069261459023
Chaaban, Y., Jung, S., & Jansen, B. J. J. (2026) · European Journal of Teacher Education · doi:10.1080/02619768.2026.2692989
Self-citationErgun, C. (2026) · Ethics in Science and Environmental Politics · doi:10.3354/esep00236
Manojkumar, R. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-2600-2811-7.ch004
Professional Development for Academicians in the Age of Artificial Intelligence
Seshoka, W. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-2600-3204-6.ch006
Oraif, I., & Elyas, T. (2026) · Education Sciences · doi:10.3390/educsci16071144
Quality assurance in generative AI-mediated education: a bibliometric and scoping review
López-Acosta, D. Y., Pacheco-Mendoza, S. R., Alvarado-Jaramillo, D. J., & Flores, P. R. Z. (2026) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2026.1844517 · Cited by 1 · see citing works
Kumar, J. A., Salim, Z., Annamalai, N., Dhaliwal, J., & Singh, A. D. (2026) · Quality & Quantity · doi:10.1007/s11135-026-02982-w · Cited by 1 · see citing works
Development and initial validation of a survey examining critical GenAI literacy in higher education
Chaaban, Y., Naccache, H., & Qadhi, S. M. (2026) · Frontiers in Education · doi:10.3389/feduc.2026.1832507 · Cited by 1 · see citing works
Self-citationArtificial Intelligence in Scholarly Research: Ethical Awareness and Responsible Practices
Weshah, N., & Heydari, J. (2026) · International Conference on Intelligent Systems and Digital Applications (ISDA) · doi:10.1109/isda70544.2026.11606125
Alotaibi, A., Aseery, A., Alfayez, A. A., Bashatah, L., & Aseri, S. (2026) · British Educational Research Journal · doi:10.1002/berj.70256
Teachers’ adoption of GenAI: a model integrating ethics and creativity
Onbaşılı, Ü. İ., Batı, K., Yetişir, M. İ., & Doğan, C. D. (2026) · Educational Studies · doi:10.1080/03055698.2026.2710334
Algorithmic Jurisprudence and Humanistic Governance Architectures for AI in Pedagogical Ecologies
Alam, A. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-5213-8.ch021
Brătianu, C., & Bejinaru, R. (2026) · Proceedings of the ... International Conference on Business Excellence · doi:10.2478/picbe-2026-0305
Ethical integration of generative AI (GAI) in higher education
David, M., Maharaj, D., & Maharaj, N. R. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-36775-5.00018-7
Evans, N. D. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-36775-5.00023-0
Köylüoğlu, A. S., Efendi̇oğlu, İ. H., Villi, B., & Koç, F. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2026.107573
Exploring AI and Ethics in GCC’S Education Sector: A Bibliometric Study
Ekundayo, T., Nehad, A. E., & Chaudhry, S. A. (2026) · Advances in Science, Technology & Innovation/Advances in science, technology & innovation · doi:10.1007/978-3-032-24784-1_38
Responsible AI and Governance in Higher Education
Singh, G., & Singh, V. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-5586-3.ch002
Rajitha, A. (2026) · The International Information & Library Review · doi:10.1080/10572317.2026.2717690
Putra, R. A. P., Rahmah, A., & Hatifah, N. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-6670-8.ch011
Zeng, D., & Xiao, R. (2026) · International Conference on Distance Education and Learning (ICDEL) · doi:10.1109/icdel70250.2026.11663809
Exploring ethical and privacy concerns in AI-based information services: implications for user trust
Mannan, E. F., Anna, N. E. V., Chansanam, W., & Kusumaningtiyas, T. (2026) · Journal of Information Communication and Ethics in Society · doi:10.1108/jices-01-2026-0015
Measuring attitudes of ethical use of GenAI in the work of university educators in Slovakia
Chinoracký, R., Stalmašeková, N., Bachanová, P. H., & Majerčáková, M. (2026) · Frontiers in Education · doi:10.3389/feduc.2026.1929871
Guechairi, S., Smail, N., Махмудов, С., & Mohammed, K. S. (2026) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2026.103771
Cunff, A. L., Dommett, E. J., & Compton, M. (2026) · International Journal of Educational Research · doi:10.1016/j.ijer.2026.103135
- 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
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Social Sciences › Safety Research › 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