The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
The false positives and false negatives of generative AI detection tools in education and academic research: The case of ChatGPT
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In the citing paper
“The literature is also silent on the potential consequences, harmful or beneficial, of ChatGPT usage (Dalalah & Dalalah, 2023; Paul et al., 2023) despite a ban in many institutions across the globe.”
From Is it harmful or helpful? Examining the causes and consequences of generative AI usage among university students (2024) · cites this paper as Dalalah & Dalalah, 2023
In the citing paper
“Since the use of ChatGPT for academic activities is usually considered as an unethical mean (Dalalah et al., 2023; Dwivedi et al., 2023)”
From Is it harmful or helpful? Examining the causes and consequences of generative AI usage among university students (2024) · cites this paper as Dalalah et al., 2023
In the citing paper
“there has been a notable upswing in discussions among scholars and academicians regarding the transformative potential of generative AI, particularly ChatGPT, in higher education and the risks associated with it (Dalalah & Dalalah, 2023; Meyer et al., 2023; Peters et al., 2023; Yilmaz & Yilmaz, 2023a).”
From Is it harmful or helpful? Examining the causes and consequences of generative AI usage among university students (2024) · cites this paper as Dalalah & Dalalah, 2023
Citations
Cites
Language Models are Few-Shot Learners
Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al. (2020) · arXiv · doi:10.48550/arxiv.2005.14165 · Cited by 23,372
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., et al. (2023) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2023.102642 · Cited by 4,584
Kung, T. H., Cheatham, M., Medenilla, A., Sillos, C., De Leon, L., Elepaño, C., Madriaga, M., Aggabao, R., Diaz-Candido, G., Maningo, J., et al. (2023) · PLOS Digital Health · doi:10.1371/journal.pdig.0000198 · Cited by 4,115
ChatGPT is fun, but not an author
Thorp, H. H. (2023) · Science · doi:10.1126/science.adg7879 · Cited by 1,437
Lim, W. M., Gunasekara, A., Pallant, J. L., Pallant, J. I., & Pechenkina, E. (2023) · The International Journal of Management Education · doi:10.1016/j.ijme.2023.100790 · Cited by 1,261
Gao, C. A., Howard, F. M., Markov, N. S., Dyer, E. C., Ramesh, S., Luo, Y., & Pearson, A. T. (2022) · doi:10.1101/2022.12.23.521610 · Cited by 1,099
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
ChatGPT listed as author on research papers: many scientists disapprove
Stokel-Walker, C. (2023) · Nature · doi:10.1038/d41586-023-00107-z · Cited by 868
Artificial intelligence for the metaverse: A survey
Huynh‐The, T., Pham, Q., Pham, X., Nguyen, T. T., Han, Z., & Kim, D. (2022) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2022.105581 · Cited by 832
Towards a Human-like Open-Domain Chatbot
Adiwardana, D., Luong, M.-T., So, D. R., Hall, J., Fiedel, N., Thoppilan, R., Yang, Z., Kulshreshtha, A., Nemade, G., Lu, Y., et al. (2020) · arXiv · doi:10.48550/arxiv.2001.09977 · Cited by 614
Research works printed but not linked: 5
- Beamon, 2002, False-negative urine pregnancy test: A case report, Journal of Reproductive Medicine, 47, 952
- Collier, 2013, False positives in airport security screening, Journal of Policy Analysis and Management, 32, 961
- Mina, 2021, Impact of false-positive and false-negative COVID-19 test results on individual and population-level outcomes: A systematic review and meta-analysis, JAMA, 326, 1827
- Rothwell, 2019, False positives and false negatives in statistical models, Circulation Research, 124, 1235
- Zhang, 2021, False-positive results in cancer screening: A narrative review, Journal of Cancer, 12, 994
Cited by
Sorted by citations
Zhai, C., Wibowo, S., & Li, L. D. (2024) · Smart Learning Environments · doi:10.1186/s40561-024-00316-7 · Cited by 1,567
Chan, C. K. Y., & Lee, K. K. W. (2023) · Smart Learning Environments · doi:10.1186/s40561-023-00269-3 · Cited by 634
Abbas, M., Jam, F. A., & Khan, T. I. (2024) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-024-00444-7 · Cited by 531
“For the same reasons, scholars have called for future research to delve deeper into the positives and negatives of ChatGPT in higher education (Bahroun et al., 2023; Chaudhry et al., 2023; Dalalah & Dalalah, 2023).”
BackgroundInfluentialGenerative AI tools and assessment: Guidelines of the world's top-ranking universities
Moorhouse, B. L., Yeo, M. A., & Wan, Y. (2023) · Computers and Education Open · doi:10.1016/j.caeo.2023.100151 · Cited by 461
McDonald, N., Johri, A., Ali, A., & Collier, A. H. (2025) · Computers in Human Behavior: Artificial Humans · doi:10.1016/j.chbah.2025.100121 · Cited by 682
Metadata
- Authors
- Dalalah, D., & Dalalah, O. M. A.
- Affiliations
- Jordan University of Science and Technology (JO)
- Jadara University (JO)
- Corresponding author
- Dalalah, Doraid
- ORCID
- Dalalah, Doraid
- Venue
- The International Journal of Management Education
- Publisher
- Elsevier BV
- Published
- 2023-07
- Volume
- 21
- Issue
- 2
- Pages
- 100822
- ISSN
- 1472-8117 (ISSN-L)
- OpenAlex
- W4378448767
- Cited by
- 218
- References
- 27
- Citations by year
- 2026: 40 · 2025: 82 · 2024: 80 · 2023: 16
- FWCI
- 54.55
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- The International Journal of Management Education (publishedVersion)
- Topics
- Social Sciences › Education › Academic integrity and plagiarism
- Physical Sciences › Computer Science › Artificial Intelligence › Authorship Attribution and Profiling
- Social Sciences › Education › Artificial Intelligence in Education
- Keywords
- generative AI detection, ChatGPT, AI-generated text, false positives, false-negative results, type I and type II errors, academic integrity, AI detection tools, abstracts, research ethics, generative pre-trained transformer
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