AI and Sri Lankan University Students: Developing a Guideline for Optimizing Use and Preventing Misuse

  • K. A. A. N. Thilakarathna and W.M.C.P Godage
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  • K.A.A.N. Thilakarathna

    Lecturer at Faculty of Law, University of Colombo, Sri Lanka

  • W.M.C.P Godage

    Deputy Registrar at Institute of Human Resource Advancement, University of Colombo, Sri Lanka

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Abstract

This paper delves into the transformative impact of AI technologies on university education, focusing on both the opportunities and challenges presented by these advancements. It outlines how AI enhances educational access, efficiency, and personalization in Sri Lankan universities by streamlining research processes, creating tailored learning experiences, and improving the quality of academic writing. However, it also addresses significant challenges, including academic dishonesty, over-reliance on AI, and data privacy concerns. To mitigate these risks, the paper advocates for clear policies, transparency, and proper training on the ethical use of AI, emphasizing the need for balanced integration to foster critical thinking and independent research skills. Additionally, it highlights the role of AI in exam preparation through adaptive learning platforms and AI-powered tutoring systems, while noting the importance of equitable access and data protection. The paper concludes with comprehensive guidelines for the ethical use of AI in academic settings, promoting transparency, honesty, fairness, and proper documentation of AI usage. These guidelines aim to foster responsible AI use, ensuring that technological advancements contribute positively to student learning while upholding academic integrity. A detailed sample guideline for the ethical use of AI by university students is provided at the end to help institutions navigate these complex issues effectively.

Type

Research Paper

Information

International Journal of Law Management and Humanities, Volume 7, Issue 4, Page 1072 - 1087

DOI: https://doij.org/10.10000/IJLMH.118108

Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution -NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.

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Copyright © IJLMH 2021