The Role of Artificial Intelligence in Advancing Academic Research in Tertiary Institutions
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Abstract
Artificial intelligence (AI) is rapidly transforming how knowledge is created, validated, and disseminated in higher education. This paper synthesizes recent empirical and policy literature (2023 – 2025) to examine how AI tools—from large-language-model (LLM) chatbots such as ChatGPT to domain-specific research assistants like Elicit—are reshaping the research lifecycle in universities. We review adoption trends, map functional use-cases, analyse reported benefits and challenges, and propose a governance framework grounded in UNESCO’s 2025 guidance on generative AI. Findings indicate that AI already augments literature discovery, data analysis, scientific writing, reproducibility checks, and research management; however, concerns over academic integrity, bias, data security, and cognitive deskilling persist. We conclude that strategic investment in human-centred AI, faculty–student capacity-building, and robust ethical oversight will determine whether tertiary institutions leverage AI as a catalyst for scholarly innovation or encounter new inequities.
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References
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