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<title>Department of Information Technology</title>
<link>http://localhost:8080/xmlui/handle/123456789/14</link>
<description>Department of Information Technology</description>
<pubDate>Sat, 18 Apr 2026 18:03:31 GMT</pubDate>
<dc:date>2026-04-18T18:03:31Z</dc:date>
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<title>Awareness, knowledge, and attitude towards artificial intelligence: Perspective of medical students in Ghana</title>
<link>http://localhost:8080/xmlui/handle/123456789/30626</link>
<description>Awareness, knowledge, and attitude towards artificial intelligence: Perspective of medical students in Ghana
Ankamah, Samuel; Gyesi, Kwesi; Amponsah, Vivian
Abstract&#13;
The adoption of emerging technologies among university students has become increasingly prevalent in&#13;
recent years. AI-assisted technologies are gradually permeating medical education and practice to improve&#13;
healthcare delivery and reduce resource waste. This study aimed to investigate the awareness, use, and&#13;
perception of AI among medical students in Emmanuel Quaye Archampong Library at the University of Ghana.&#13;
Using a survey research design, data were collected from medical students at the University of Ghana Medical&#13;
School. Structured questionnaires were administered to the respondents online using Google Forms. With a&#13;
total of 1366 respondents, Krejcie and Morgan’s published table was employed to select the study sample&#13;
size of 302 medical students. Forty-eight (39.0%) medical students agreed that the use of AI-assisted&#13;
technologies was voluntary without being coerced to use them. More than half of the respondents (50.4%)&#13;
reported being moderately aware of AI-assisted technologies and adequately understanding the concept of&#13;
AI. Grammarly and ChatGPT were predominantly used in medical studies, despite the lack of opportunities&#13;
for training on AI-assisted technologies. It is recommended that regular training and guidance be provided to&#13;
students to appropriately use AI-assisted technologies in research and learning.&#13;
Keywords&#13;
artificial intelligence, technology acceptance model, medical students, academic library, Ghana
FACULTY STAFF PUBLICATION
</description>
<pubDate>Fri, 30 Aug 2024 00:00:00 GMT</pubDate>
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<dc:date>2024-08-30T00:00:00Z</dc:date>
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