Optimists, Realists, and Traditionalists: Profiling Nursing Students’ Engagement with Artificial Intelligence (AI) in Pediatric Nursing Education.
Background: Artificial intelligence (AI) is increasingly integrated into nursing education; however, its use in pediatric nursing courses remains underexplored. Aim: This study aimed to examine the use of AI tools among nursing students enrolled in a pediatric nursing course and to identify homogeno...
| Publicado en: | Journal of Education & Research in Nursing / Hemşirelikte Eğitim ve Araştırma Dergisi Vol. 23; no. 3; pp. 151 - 156 |
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| Autores principales: | , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Hemsirelikte Egitim ve Arastirma Dergisi
Sep2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=196633127&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 196633127 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13050397 EUDO jtl: Journal of Education & Research in Nursing / Hemşirelikte Eğitim ve Araştırma Dergisi issn: 13050397 maglogo: N pubinfo: dt: Sep2026 vid: 23 iid: 3 pid: 13719 pub: Hemsirelikte Egitim ve Arastirma Dergisi artinfo: ui: 196633127 196633127 196633127 10.14744/jern.2026.03064 196633127 ppf: 151 ppct: 5 formats: fmt: @attributes: type: P tig: atl: Optimists, Realists, and Traditionalists: Profiling Nursing Students’ Engagement with Artificial Intelligence (AI) in Pediatric Nursing Education. aug: au: Karataş, Pelin Öztürk, Demet affil: Department of Pediatric Nursing, Aydın Adnan Menderes University Faculty of Nursing, Aydın, Türkiye. sug: subj: Education, Nursing, Baccalaureate Pediatric Nursing Education Students, Nursing, Baccalaureate Artificial Intelligence Utilization Student Attitudes Evaluation Human Male Female Adult Turkiye Cross Sectional Studies Questionnaires Scales Cluster Analysis Diffusion of Innovation Trust Data Analysis Software Descriptive Statistics Chi Square Test Post Hoc Analysis Achievement Tests Learning Academic Achievement Adult: 19-44 years Male Female ab: Background: Artificial intelligence (AI) is increasingly integrated into nursing education; however, its use in pediatric nursing courses remains underexplored. Aim: This study aimed to examine the use of AI tools among nursing students enrolled in a pediatric nursing course and to identify homogenous student profiles based on their usage characteristics and theoretical adoption patterns. Methods: This cross-sectional study included 241 nursing students enrolled in a pediatric nursing course. Data were collected using the AI in Pediatric Nursing Course Questionnaire and the General Attitude Toward Artificial Intelligence Scale (GAAIS). K-means cluster analysis was conducted, guided by Rogers’ Diffusion of Innovations Theory, to classify students into distinct profiles based on their GAAIS subscale scores, which were considered to reflect their fundamental attitudinal orientations toward AI. Results: Cluster analysis identified three distinct student profiles: Optimists (n=95), Realists (n=102), and Traditionalists (n=44). Optimists demonstrated the highest levels of AI use, whereas Traditionalists demonstrated the lowest levels in both clinical practice (p=0.002) and preparation for clinical visits (p=0.039). Additionally, Optimists and Realists reported more positive perceptions of AI’s impact on examination success (p=0.002) and learning (p=0.001), whereas Traditionalists expressed significantly more negative attitudes toward AI overall (p<0.001) and reported the lowest levels of trust in the technology (p=0.040). Conclusion: Optimists and Realists appear to actively integrate AI tools into clinical practice and examination preparation and generally perceive them as beneficial for learning outcomes. These findings highlight the importance of adopting differentiated pedagogical approaches rather than a one-size-fits-all curriculum. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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