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Relationship Between Individual Innovativeness Levels and Attitudes Toward Artificial Intelligence Among Nursing and Midwifery Students. | LitMetric

Relationship Between Individual Innovativeness Levels and Attitudes Toward Artificial Intelligence Among Nursing and Midwifery Students.

Comput Inform Nurs

Author Affiliations: Department of Nursing, Faculty of Health Sciences, Amasya University, Türkiye (Mrs Erciyas and Mrs Edis); and Department of Nursing, Faculty of Health Sciences, Bartin University, Bartin, Türkiye (Mrs Ekrem).

Published: November 2024

AI Article Synopsis

  • The study investigates the relationship between innovativeness and attitudes toward artificial intelligence (AI) among 500 nursing and midwifery students in Türkiye.
  • Students showed inadequate innovativeness scores (59.47 ± 7.23) while exhibiting a positive overall attitude toward AI (positive scores: 42.67 ± 7.10).
  • A significant positive correlation exists between students' innovativeness and their attitudes toward AI, indicating that enhancing innovativeness could improve these attitudes, which currently need development.

Article Abstract

The aim of this study is to explore the connection between individual innovativeness levels and attitudes toward artificial intelligence among nursing and midwifery students. Data were collected from 500 nursing and midwifery students studying at a university in Türkiye. The data gathered between November and December 2023 involved a Personal Information Form, the Individual Innovation Scale, and the General Attitudes toward Artificial Intelligence Scale. Data analysis used descriptive statistics, independent-samples t test, analysis of variance, Bonferroni test, and logistic regression models. Students' average Individual Innovativeness Scale score was 59.47 ± 7.23. Consequently, it was determined that students' individual innovativeness levels were inadequate, placing them in the questioning group. Students demonstrated positive attitudes toward artificial intelligence, with General Attitudes toward Artificial Intelligence Scale-positive scores at a good level (42.67 ± 7.10) and negative attitudes at an average level (24.08 ± 5.81). A significant, positive relationship was found between Individual Innovation Scale and General Attitudes toward Artificial Intelligence Scale total scores ( P < .001). The individual innovation level of students proved to be a significant predictor of attitudes toward artificial intelligence ( P < .001). Students' individual innovativeness levels positively influence their attitudes toward artificial intelligence. However, it was identified that students' individual innovativeness levels are not sufficient and require improvement.

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Source
http://dx.doi.org/10.1097/CIN.0000000000001170DOI Listing

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