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The relationship between AI adoption and the character traits openness and neuroticism in healthcare students during their studies

Cangir, B.A. (2024) The relationship between AI adoption and the character traits openness and neuroticism in healthcare students during their studies.

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Abstract:This thesis explores the implications of openness and neuroticism personality traits on the adoption intentions of Artificial Intelligence (AI) technologies in a sample of healthcare students, linking these to the variables put forward by the Unified Theory of Acceptance and Use of Technology model (UTAUT). It aimed to explore through a questionnaire survey how students’ direct experience with AI and perceived usefulness and ease of use relate to their intentions to use AI in their academic pursuits and practice. Specifically, this study refers to a sample of 106 students from various healthcare fields. It aimed to explore through a questionnaire how students’ direct experience with AI and perceived usefulness and ease of use in their studies relate to their intentions to use AI in their academic pursuits and future work fields. Despite the anticipated importance of openness and neuroticism, the findings demonstrate that the main factors shaping students’ attitudes to AI adoption are practical AI experience and perceived AI benefits. Contrary to previous studies, these findings suggest no significant impact of openness and neuroticism on AI adoption, requiring reconsideration of the roles these personality traits play in models of adopting educational AI technologies in healthcare. Fusing existing research on technology adoption, learning-related personality traits, and healthcare-specific requirements, this thesis offers a multi-faceted perspective on how best to prepare healthcare students for the future where AI will be massively implemented. In particular, this study emphasizes the importance of practical AI experiences and calls attention to the need for educationally supportive policies that facilitate the integration of practical AI applications into the curricula of healthcare studies. Consequently, this research contributes to the academic discussion on technology assimilation in the educational sector. It provides a set of feasible implications for educators, policymakers, and technology innovators in the field.
Item Type:Essay (Bachelor)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:77 psychology
Programme:Psychology BSc (56604)
Link to this item:https://purl.utwente.nl/essays/98584
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