prikaz prve stranice dokumenta Razlike stavova studenata medicine i studenata sestrinstva prema umjetnoj inteligenciji u odnosu na razinu samopoštovanja
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master's thesis
Razlike stavova studenata medicine i studenata sestrinstva prema umjetnoj inteligenciji u odnosu na razinu samopoštovanja
2024. urn:nbn:hr:171:561602
Dragičević, Magdalena
University of Split
School of Medicine

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Dragičević, M. (2024). Razlike stavova studenata medicine i studenata sestrinstva prema umjetnoj inteligenciji u odnosu na razinu samopoštovanja (Master's thesis). Split: University of Split, School of Medicine. Retrieved from https://urn.nsk.hr/urn:nbn:hr:171:561602

Dragičević, Magdalena. "Razlike stavova studenata medicine i studenata sestrinstva prema umjetnoj inteligenciji u odnosu na razinu samopoštovanja." Master's thesis, University of Split, School of Medicine, 2024. https://urn.nsk.hr/urn:nbn:hr:171:561602

Dragičević, Magdalena. "Razlike stavova studenata medicine i studenata sestrinstva prema umjetnoj inteligenciji u odnosu na razinu samopoštovanja." Master's thesis, University of Split, School of Medicine, 2024. https://urn.nsk.hr/urn:nbn:hr:171:561602

Dragičević, M. (2024). 'Razlike stavova studenata medicine i studenata sestrinstva prema umjetnoj inteligenciji u odnosu na razinu samopoštovanja', Master's thesis, University of Split, School of Medicine, accessed 21 October 2024, https://urn.nsk.hr/urn:nbn:hr:171:561602

Dragičević M. Razlike stavova studenata medicine i studenata sestrinstva prema umjetnoj inteligenciji u odnosu na razinu samopoštovanja [Master's thesis]. Split: University of Split, School of Medicine; 2024 [cited 2024 October 21] Available at: https://urn.nsk.hr/urn:nbn:hr:171:561602

M. Dragičević, "Razlike stavova studenata medicine i studenata sestrinstva prema umjetnoj inteligenciji u odnosu na razinu samopoštovanja", Master's thesis, University of Split, School of Medicine, Split, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:171:561602

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Metadata
TitleRazlike stavova studenata medicine i studenata sestrinstva prema umjetnoj inteligenciji u odnosu na razinu samopoštovanja
Title (english)Differences in the attitudes of medical students and nusring students toward artificial intelligence in relation to the level of self-esteem
AuthorMagdalena Dragičević
MentorIris Jerončić Tomić (mentor)
Committee memberIrena Zakarija-Grković (predsjednik povjerenstva)
Committee memberShelly Pranić (član povjerenstva)
Committee memberSlavica Kozina (član povjerenstva)
GranterUniversity of Split
School of Medicine
Split
Defense date and country2024-09-25, Croatia
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Public Health and Health Care
Public Health
Abstract
Ciljevi: Glavni cilj ovog istraživanja bio je ispitati stavove studenata studija Medicine na hrvatskom i engleskom studiju te stavove studenata Sestrinstva prema umjetnoj inteligenciji (AI) i povezati ih s ispitanom razinom samopoštovanja. Ispitanici i postupci: Istraživanje je obuhvatilo studente svih godina studija medicine Sveučilišta u Splitu i studente sestrinstva Sveučilišnog odjela zdravstvenih studija. Pristupilo je 240 studenata, od čega 141 student medicine i 99 studenata sestrinstva. Ispitivanje stavova studenata napravljeno je anonimnim presječnim istraživanjem (anketni upitnik). Rezultati: Istraživanjem smo potvrdili hipotezu H3, a odbacili H1,2,4. Stav studenata prema umjetnoj inteligenciji nije varirao ovisno o dobi, spolu ni godini fakulteta. Na stav je pozitivno utjecala razina samopoštovanja, a razina anksioznosti negativno. Zaključci: Istraživanju je pristupilo 240 studenata, od čega 141 student medicine i 99 studenata sestrinstva. Iz dobivenih rezultata vidimo da su studenti sestrinstva kao i studenti s visokim samopoštovanjem pokazali pozitivniji stav prema umjetnoj inteligenciji, dok su studenti s normalnim samopoštovanjem imali značajno bolji stav u odnosu na one s niskim samopoštovanjem. Također je potvrđeno da su ispitanici s visokim i normalnim samopoštovanjem imali značajno nižu anksioznost od onih s niskim samopoštovanjem. Stav nije varirao ovisno o godini fakulteta i spolu.
Abstract (english)
Objectives: The main goal of this research was to examine the attitudes of Medicine students in Croatian and English studies and the attitudes of Nursing students towards artificial intelligence (AI) and connect them with the examined level of self-esteem. Subjects and methods: The research included students of all years of medical studies at the University of Split and nursing students of the University Department of Health Studies. 240 students applied, of which 141 were medical students and 99 were nursing students. The examination of students' attitudes was done through an anonymous cross-sectional survey (survey questionnaire). Results: We can say that we confirmed H3 and rejected H1,2,4. More precisely, students attitude towards artificial intelligence did not vary depending on gender or year of college. Attitude was positively influenced by the level of self-esteem, and negatively by the level of anxiety. Conclusions: 240 students participated in the research, of which 141 were medical students and 99 were nursing students. From the obtained results, we see that nursing students as well as students with high self-esteem showed a more positive attitude towards artificial intelligence, while students with normal self-esteem had a significantly better attitude compared to those with low self-esteem. It was also confirmed that subjects with high and normal self-esteem had significantly lower anxiety than those with low self-esteem. The attitude did not vary depending on the year of college or gender.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:171:561602
Study programmeTitle: Medicine
Study programme type: university
Study level: integrated undergraduate and graduate
Academic / professional title: doktor/doktorica medicine (doktor/doktorica medicine)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Embargo expiration date: 2024-09-25
Terms of useLicence In copyright icon
Created on2024-09-20 12:45:08