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Exploring the ethical considerations of using Chat GPT in university education
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This study investigates the moral dilemmas that arise with incorporating Chat GPT into higher education, with a focus on the situation in Latinoamerican institutions of higher learning. The study surveyed 220 people via online questionnaire to learn more about their experiences with and motivations for using AI-powered conversational agents. An overview of the demographics of the participants was provided through descriptive statistics. This investigation of the subject at hand lays the groundwork for further research. It also reveals the hidden meanings of the observed phenomena, and it suggests possible solutions to the problems that have been uncovered. This research looks at how AI systems and chatbots can supplement human knowledge and judgment, as well as their potential drawbacks. The results showed that participants thought Chat GPT integration was moderately accessible and had moderately positive social attitudes. They understood the value and responsibility of Chat GPT in creating individualized educational opportunities. Participants stressed the necessity for explicit institutional standards regarding privacy and data security. Gender, age, sense of accessibility, social attitude, opinions, and personal experience, privacy and data security, institutional guidelines, and individualized learning were also found to affect participants' reliance on AI through regression analysis. The findings shed light on how the integration of Chat GPT into Latinoamerican higher education is complicated by factors such as individual beliefs, cultural norms, and ethical problems. The busy schedules of students may be accommodated and the resources they need to succeed can be made available thanks to this adaptability. In addition, natural language processing models can offer students instantaneous help via text chat, voice, or video. To fully grasp the ethical consequences and lead the creation of responsible implementation techniques, the research proposes that additional qualitative investigations, longitudinal studies, and comparative research across diverse contexts is required. Closing these knowledge gaps will help move the conversational AI field forward in ways that are ethical and beneficial to the classroom.
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“Academic discussion around the use of GenAI centres largely around concerns of plagiarism and poor academic practice (Huallpa 2023), with some debate around considerations of bias and reliability and accuracy of outputs (Rane et al. 2023), although its use and impacts in higher education are gaining traction for pedagogic research agendas.”
From Generative AI: reconfiguring supervision and doctoral research (2025) · cites this paper as Huallpa 2023
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Kavitha, R., Jothi, D. K., Saravanan, K., Swain, M. P., Gonzáles, J. L. A., Bhardwaj, R. J., & Adomako, E. (2023) · BioMed Research International · doi:10.1155/2023/1742891 · Cited by 76
RetractedThe PRISMA 2020 statement: An updated guideline for reporting systematic reviews
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., et al. (2021) · BMJ · doi:10.1136/bmj.n71 · Cited by 108,283
Munn, Z., Peters, M. D. J., Stern, C., Tufanaru, C., McArthur, A., & Aromataris, E. (2018) · BMC Medical Research Methodology · doi:10.1186/s12874-018-0611-x · Cited by 11,385
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 · cited 2×
“Students' wants and preferences should be considered throughout the design and deployment of NLP models at institutions (Woolf et al., 2013; Zawacki-Richter et al., 2019).”
BackgroundThe PRISMA 2020 statement: an updated guideline for reporting systematic reviews
Page, M. J., McKenzie, J., Bossuyt, P., Boutron, I., Hoffmann, T., mulrow, C., Shamseer, L., Tetzlaff, J., Akl, E., Brennan, S. E., et al. (2020) · doi:10.31222/osf.io/v7gm2 · Cited by 5,177
Chatting about ChatGPT: how may AI and GPT impact academia and libraries?
Lund, B. D., & Wang, T. (2023) · Library Hi Tech News · doi:10.1108/lhtn-01-2023-0009 · Cited by 1,355
Nagendran, M., Chen, Y., Lovejoy, C. A., Gordon, A. C., Komorowski, M., Harvey, H., Topol, E. J., Ioannidis, J. P. A., Collins, G. S., & Maruthappu, M. (2020) · BMJ · doi:10.1136/bmj.m689 · Cited by 1,152
Artificial intelligence in education : challenges and opportunities for sustainable development
Pedró, F., Subosa, M., Rivas, A., & Valverde, P. (2019) · MINISTERIO DE EDUCACIÓN · Cited by 902
Dergaa, I., Chamari, K., Zmijewski, P., & Ben Saad, H. (2023) · Biology of Sport · doi:10.5114/biolsport.2023.125623 · Cited by 796
What ChatGPT means for universities: Perceptions of scholars and students
(2023) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2023.6.1.22 · Cited by 431 · cited 2×
“Students can interact with a conversational bot powered by artificial intelligence to ask questions, get clarifications, and get tailored responses [6].”
Background
Research works printed but not linked: 6
- S. A. S. Muñoz, G. G. Gayoso, A. C. Huambo, R. D. C. Tapia, J. L. Incaluque, and O. E. P. Aguila, "Examining the impacts of ChatGPT on student motivation and engagement," Przestrzen Spoleczna, vol. 23, no. 1, pp. 1-27, 2023.
- E. B. R. Mansilla, R. Y. Castillo-Acobo, E. G. M. Puma, Y. M. Maquera, J. L. A. Gonzales, and M. J. Vasquez-Pauca, "Stress in university teachers in the framework of the post-pandemic face-to-face academic resumption," Journal of Medicinal and Chemical Sciences, vol. 5, no. 6, pp. 1040-1047, 2022.
- W. R. M. Ramos et al., "Responsible leadership: A comparative study between Latinoamerican national and private universities," Eurasian Journal of Educational Research, no. 99, pp. 143-154, 2022.
- J. C. Orosco Gavilán, D. Zapana Díaz, J. Jinchuña Huallpa, J. L. Bustinza Cabala, O. E. Pongo Aguila, and E. G. Martínez Puma, "Technological social responsibility in university professors," Eurasian Journal of Educational Research, no. 100, 2022.
- B. Rathore, "Future of AI & generation alpha: ChatGPT beyond boundaries," EIPRMJ, vol. 12, no. 1, pp. 63-68, 2023.
- A. H. M. Alaidi, and F. T. Abed, "Attendance System Design And Implementation Based On Radio Frequency Identification (RFID) And Arduino," Journal of Advanced Research in Dynamical Control Systems, vol. 10, no. SI4, pp. 1342-1347, 2018.
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Metadata
- Authors
- Huallpa, E. A.
- Corresponding author
- Huallpa, et al., Jorge Jinchuña
- Venue
- Periodicals of Engineering and Natural Sciences (PEN)
- Publisher
- International University of Sarajevo
- Published
- 2023-08-30
- Volume
- 11
- Issue
- 4
- Pages
- 105
- ISSN
- 2303-4521 (ISSN-L)
- OpenAlex
- W4395099925
- Cited by
- 145
- References
- 45
- Citations by year
- 2026: 22 · 2025: 59 · 2024: 54 · 2023: 10
- FWCI
- 34.04
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Periodicals of Engineering and Natural Sciences (PEN) (publishedVersion, cc-by)
- Periodicals of Engineering and Natural Sciences (International University of Sarajevo) (submittedVersion, cc-by)
- Topics
- Social Sciences › Education › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- ChatGPT, artificial intelligence in higher education, ethical considerations, chatbots, student attitudes toward AI, privacy and data security, institutional guidelines, personalized learning, AI reliance, gender and age differences, responsible AI deployment
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