Nursing Students' Attitudes Toward Artificial Intelligence, Technology, and Internet Addiction: A Descriptive and Relational Study.
Background: The increasing integration of artificial intelligence (AI) in healthcare has highlighted the importance of nursing students’ attitudes toward these technologies. In this context, technology and internet addiction may act as influential factors shaping these attitudes. Aim: This study aim...
| Publicado en: | Journal of Education & Research in Nursing / Hemşirelikte Eğitim ve Araştırma Dergisi Vol. 23; no. 2; pp. 106 - 112 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Hemsirelikte Egitim ve Arastirma Dergisi
Jun2026
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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=194016864&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 194016864 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: Jun2026 vid: 23 iid: 2 pid: 13719 pub: Hemsirelikte Egitim ve Arastirma Dergisi artinfo: ui: 194016864 194016864 194016864 10.14744/jern.2026.45793 194016864 ppf: 106 ppct: 6 formats: fmt: @attributes: type: P tig: atl: Nursing Students' Attitudes Toward Artificial Intelligence, Technology, and Internet Addiction: A Descriptive and Relational Study. aug: au: Annak, İnci Mercan Bütün, Cemile Gül Dede, Döndü Gülüç, Sudenur affil: Department of Surgical Nursing, Gazi University Faculty of Nursing, Ankara, Türkiye. sug: subj: Students, Nursing Psychosocial Factors Student Attitudes Evaluation Artificial Intelligence Information Technology Internet Addiction Attitude to Computers Education, Nursing Turkiye Funding Source Human Male Female Adolescence Adult Descriptive Research Correlational Studies Power Analysis Questionnaires Summated Rating Scaling Coefficient alpha Spearman's Rank Correlation Coefficient Mann-Whitney U Test Kruskal-Wallis Test Data Analysis Software Descriptive Statistics Scales Academic Performance Student Assignments Sex Factors Adolescent: 13-18 years Adult: 19-44 years Male Female ab: Background: The increasing integration of artificial intelligence (AI) in healthcare has highlighted the importance of nursing students’ attitudes toward these technologies. In this context, technology and internet addiction may act as influential factors shaping these attitudes. Aim: This study aimed to determine the levels of technology addiction, internet addiction, and attitudes toward AI among nursing students, and to examine the relationships between these variables. Methods: This descriptive and correlational study was conducted with 608 nursing students enrolled at the Faculty of Nursing of Gazi university. Data were collected face-to-face. The Spearman correlation test, Mann-Whitney U test, and Kruskal-Wallis H test were used for data analysis. Results: The mean age of the students was 20.72±2.11 years; 84.0% were female, 28.9% were first-year students, and 37.5% had a moderate grade point average (GPA) (2.50–3.00). AI was used by 84.4% of the students, primarily for homework (56.5%). A strong positive correlation was found between internet addiction and technology addiction, whereas negative attitudes toward AI were weakly and negatively correlated with these addictions. Male students had higher technology addiction scores, and AI users demonstrated significantly more positive attitudes toward AI. Conclusion: The majority of nursing students reported using AI, primarily for homework purposes. They demonstrated low levels of internet addiction and moderate levels of technology addiction. These findings suggest that the conscious and ethical use of AI should be promoted in nursing education, along with increased awareness initiatives addressing technology addiction. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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