The Future of Education

Edition 15

Accepted Abstracts

Establishing Clear Guidelines for AI Tools Usage in an Academic Institution

Desiree Mokgosi, University of Johannesburg (South Africa)

Lebogang Mosupye-Semenya, University of Johannesburg (South Africa)

Abstract

The increasing adoption of Artificial Intelligence (AI) tools in academic institutions has compelled the development of clear guidelines to ensure ethical and responsible use.

This study aimed to investigate the guidelines set for using AI tools among students and lecturers, highlighting the need for transparent guidelines and protocols to prevent academic misconduct.

Data was collected through a questionnaire using convenience sampling and snowballing, as it was challenging to find participants due to the assessment period at the institution. The participants voluntarily completed the questionnaire, which consisted of 40 undergraduate students, 41 postgraduate students and 20 lecturers. SPSS version 30 and the linear regression method were used for data analysis.  

The findings indicate that while participants demonstrate confidence and understand the limitations when using AI tools, there is a gap in training, as most stated the need for training in using the AI tools ethically. Four academic institutions were studied, and it was established that all supported AI tools use, provided the students declared when they used these tools. Both students and lecturers must be AI literate through rigorous training and workshops.

The guidelines should be regularly assessed and clear instructions on the consequences of misuse should be set.

This paper contributes to the evolving role of institutions in ensuring that the guidelines set by the institution are clear and easy to understand.

 

Keywords

AI tools, academic integrity, potential bias, AI guidelines, academic institution

 

REFERENCES

[1] Balalle, H., & Pannilage, S. (2025). Reassessing academic integrity in the age of AI: A systematic literature review on AI and academic integrity. Social Sciences & Humanities Open, 11. https://doi.org/10.1016/j.ssaho.2025.101299

[2] Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00411-8

[3] Foltynek, T., Bjelobaba, S., Glendinning, I., Khan, Z. R., Santos, R., Pavletic, P., & Kravjar, J. (2023). ENAI Recommendations on the ethical use of Artificial Intelligence in Education. International Journal for Educational Integrity, 19(1). https://doi.org/10.1007/s40979-023-00133-4

[4] Memon, M. A., Ting, H., Cheah, J.-H., Thurasamy, R., Chuah, F., & Cham, T. H. (2020). Sample size for survey research: review and recommendations. Journal of Applied Structural Equation Modeling, 4(2). https://doi.org/https://jasemjournal.com/wp-content/uploads/2020/08/Memon-et-al_JASEM_-Editorial_V4_Iss2_June2020.pdf

[5] Zamri, N. A., Ahmad, A. R., Ahmad, S. N., Shahabani, N. S., & Khairuddin, Z. (2024). Students’ Perceptions on The Artificial Intelligence (AI) Tools As Academic Support. Malaysian Journal of Social Sciences and Humanities (MJSSH), 9(11). https://doi.org/10.47405/mjssh.v9i11.3087

 

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