Please use this identifier to cite or link to this item: http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/29740
Title: Use of Generative Artificial Intelligence Tools for Research Activities of Postgraduate Students in Federal Universities in North-Central, Nigeria
Authors: OLALERE, Ayobami Muideen
Salau, Sadiat Adetoro
Tafida, A. G.
Keywords: Research Activities
Generative AI tools
Issue Date: 2024
Publisher: NLA Enugu State Chapter
Abstract: This paper examined the use of generative artificial intelligence tools for research activities of postgraduate students in federal universities in North-Central, Nigeria. The study was guided by two objectives. The population of the study was 13,841 postgraduate students in federal universities in North-central, Nigeria. The sample size of the population was 373. This sample size was obtained by subjecting the target population of 13,841 to Krejcie and Morgan's 1970 recommended table for determining the sample size of a population. Out of the 373 copies of questionnaire administered, 317 copies were returned representing 79% response rate. The findings of the study revealed that postgraduate students perceptions on the use of generative AI tools for research activities is high. The findings of the study revealed further that inadequate funds to pay for quality features, technical issues integrating generative AI tools with university databases and systems, data privacy and ethical concerns when using AI tools are factors that hinder the research activities of postgraduate students. The study concluded that generative AI tools have the potential to enhance research activities among postgraduate students. However, factors such as inadequate funds to pay for quality features, technical issues integrating generative AI tools with university databases and systems, data privacy and ethical concerns when using AI tools were seen as challenges hindering the research activities of postgraduate students. The study recommended, among others that the management of federal universities in North-central Nigeria should educate postgraduate students about the misuse of AI-generated content, research misinformation, potential biases in the outputs generated by generative AI and data privacy concerns. Promoting critical thinking and awareness among postgraduate students will help them navigate the ethical challenges associated with AI technology
URI: http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/29740
Appears in Collections:Conference Papers

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