Exploring the Ethical Use of Artificial Intelligence in Academic Activities: A Qualitative Study of Guinean Students

Authors

  • Amadou Diallo Universite General Lansana Conte De Sonfonia, Corniche Nord, Virage du Lac Sonfonia Centre, Commune de Ratoma, Conakry 224, Guinea
  • Driana Leniwati Universitas Muhammadiyah Malang, Jl. Raya Tlogomas No.246, Babatan, Kec. Lowokwaru, Kota Malang, Jawa Timur 65144, Indonesia

DOI:

https://doi.org/10.21009/parameter.381.01

Keywords:

Artificial Intelligence in Education, Ethical Decision Making, Academic Integrity, Sociocultural Context, Guinea

Abstract

The rapid integration of artificial intelligence (AI) in academic contexts has raised ethical concerns around academic integrity, plagiarism, data privacy, and responsible use, with little attention given to low-resource contexts such as West Africa. The study explores ethical concerns, student experiences, and the role of sociocultural and institutional environments in guiding students' choices related to the use of AI.The methodology of this study was Interpretive Phenomenological Design (IPD) to collect the data by semi-structured interviews in French on WhatsApp and Google Meet with 10 students who have experience in using academic AI tools, and then the data was analyzed by manual thematic coding. Two main attitudes were identified: supportive-use attitude (AI as a learning tool) and independence-preserving attitude (strengthening personal efforts and originality). Students knew the ethical principles including academic honesty but were not sure what it meant when it came to paraphrasing and graded work, as a result of unclear institutional policies, limited guidance and gaps in sociocultural and infrastructural norms. The results suggest the need for more precise guidance on the use of AI along with training on ethics and assessment frameworks tailored to the Guinean context, to inform and drive institutional and policy innovations. The study finds that the use of AI in an ethical way in Guinea is not only related to students' awareness but also to coordinated institutional action, and suggests the creation of institutional frameworks for the governance of AI in the local institutions of Guinea.

References

Ajani, O., Akintolu, M., & Afolabi, S. O. (2024). The emergence of artificial intelligence in the higher education. International Journal of Research in Business and Social Science (2147- 4478), 13(8), 157–165. https://doi.org/10.20525/ijrbs.v13i8.3507

Al-kfairy, M., Mustafa, D., Kshetri, N., Insiew, M., & Alfandi, O. (2024). Ethical Challenges and Solutions of Generative AI: An Interdisciplinary Perspective. In Informatics (Vol. 11, Number 3). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/informatics11030058

Antony, S., & Ramnath, R. (n.d.). A Phenomenological Exploration of Students’ Perceptions of AI Chatbots in Higher Education. In IAFOR Journal of Education: Technology in Education (Vol. 11).

Bourne, P. A. (2025). Ethical AI and Higher Education: Navigating Bias, Privacy, Equity, and Governance. In Global Journal on Innovation, Opportunities and Challenges in AAI and Machine Learning (Vol. 9). http://eurekajournals.com/IJIOCAAIML.html

Burriss, S. K., Hutchins, N., Conley, Z., Deweese, M. M., Doe, Y. J., Eeds, A., Villanueva, A., Ziegler, H., & Oliver, K. (2024a). Redesigning an AI bill of rights with/for young people: Principles for exploring AI ethics with middle and high school students. Computers and Education: Artificial Intelligence, 7. https://doi.org/10.1016/j.caeai.2024.100317

Burriss, S. K., Hutchins, N., Conley, Z., Deweese, M. M., Doe, Y. J., Eeds, A., Villanueva, A., Ziegler, H., & Oliver, K. (2024b). Redesigning an AI bill of rights with/for young people: Principles for exploring AI ethics with middle and high school students. Computers and Education: Artificial Intelligence, 7. https://doi.org/10.1016/j.caeai.2024.100317

Chand, S. P. (2025). Methods of Data Collection in Qualitative Research: Interviews, Focus Groups, Observations, and Document Analysis. Advances in Educational Research and Evaluation, 6(1), 303–317. https://doi.org/10.25082/aere.2025.01.001

Kong, S. C., & Zhu, J. (2025). Developing and validating an artificial intelligence ethical awareness scale for secondary and university students: Cultivating ethical awareness through problem-solving with artificial intelligence tools. Computers and Education: Artificial Intelligence, 9. https://doi.org/10.1016/j.caeai.2025.100447

Lim, T., Gottipati, S., & Cheong, M. (2025). What students really think: unpacking AI ethics in educational assessments through a triadic framework. International Journal of Educational Technology in Higher Education, 22(1). https://doi.org/10.1186/s41239-025-00556-8

Marín, Y. R., Caro, O. C., Rituay, A. M. C., Llanos, K. A. G., Perez, D. T., Bardales, E. S., Tuesta, J. N. A., & Santos, R. C. (2025). Ethical Challenges Associated with the Use of Artificial Intelligence in University Education. Journal of Academic Ethics, 23(4), 2443–2467. https://doi.org/10.1007/s10805-025-09660-w

Neelam Gupta. (2022). How inadequate data governance frameworks lead to unethical outcomes in Artificial Intelligence Systems. International Journal of Science and Research Archive, 7(1), 580–590. https://doi.org/10.30574/ijsra.2022.7.1.0274

Meneses III, J. M. (2026). AI Literacy and Ethical Awareness: A Study on Educators’ Preparedness for Responsible AI Use. Indian Journal Of Science And Technology, 19(17), 1093–1100. https://doi.org/10.17485/IJST/v19i17.523

Pervin, N., & Mokhtar, M. (2022a). The Interpretivist Research Paradigm: A Subjective Notion of a Social Context. International Journal of Academic Research in Progressive Education and Development, 11(2). https://doi.org/10.6007/ijarped/v11-i2/12938

Pervin, N., & Mokhtar, M. (2022b). The Interpretivist Research Paradigm: A Subjective Notion of a Social Context. International Journal of Academic Research in Progressive Education and Development, 11(2). https://doi.org/10.6007/ijarped/v11-i2/12938

Salim, S., & Habsi, A. (2024). Ethical Considerations in Obtaining Informed Consent in Research Participation. International Journal of Educational Contemporary Explorations, 1(1), 22–32. https://doi.org/10.69481/DIVL1152

Septiawan, R. R., Virgono, A., Ahmad, U. A., Abadi, P., & Saputra, M. A. (2022). The Effect of Force Ratio Multiplier on A Control System for Surfing Problem Simulation. Komputasi: Jurnal Ilmiah Ilmu Komputer Dan Matematika, 19(2), 65–76. https://doi.org/10.33751/komputasi.v19i2.5260

Shrestha, N. K. (2025). Students’ ethical awareness and behavior intentions in the use of AI tools: A proposed framework. BIC Journal of Management, 2(1), 93–108. https://doi.org/10.3126/bicjom.v2i1.84329

Temple, O., Temple, V., & Sunkara, V. M. (2025). Papua New Guinea Journal of Education The current state of AI adoption, competencies, and attitudes among University of Papua New Guinea (UPNG) students The current state of AI adoption, competencies, and attitudes among University of Papua New Guinea (UPNG) students. Papua New Guinea Journal of Education, 45, 2025. www.pngjedu1472.com

Usher, M., Barak, M., & Erduran, S. (2025). What role should higher education institutions play in fostering AI ethics? Insights from science and engineering graduate students. International Journal of STEM Education, 12(1). https://doi.org/10.1186/s40594-025-00567-x

Xiong, F., Xie, M., Zhao, L., Li, C., & Fan, X. (2022). Recognition and Evaluation of Data as Intangible Assets. SAGE Open, 12(2). https://doi.org/10.1177/21582440221094600

Yang, H.-M., & Jang, Y.-E. (2025). Ethics of nursing in the digital age: Perceptions and challenges among Korean nursing students. BMC Medical Ethics, 26(1), 143. https://doi.org/10.1186/s12910-025-01301-6

Yang, T., Cheon, J., Cho, M. H., Huang, M., & Cusson, N. (2025). Undergraduate students’ perspectives of generative AI ethics. International Journal of Educational Technology in Higher Education, 22(1). https://doi.org/10.1186/s41239-025-00533-1

Downloads

Published

2026-04-30

Issue

Section

Articles