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Title:Vpliv umetne inteligence na študijski proces in poklicni razvoj študentov fizioterapije : magistrsko delo študijskega programa druge bolonjske stopnje Fizioterapija
Authors:ID Šurbek, Maja (Author)
ID Bastič, Majda (Mentor) More about this mentor... New window
Files:URL https://d.cobiss.net/repository/si/files/279289859/178235/%C5%A0urbek_Klepec_Maja_md_2026.pdf
 
.pdf Surbek_Klepec_Maja_md_2026.pdf (2,29 MB)
MD5: 203E5C24F6B2F23EAA73E65C22B5ACEE
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:UAMEU - Alma Mater Europaea University
Abstract:Uvod: Umetna inteligenca (UI) postaja nepogrešljiv del sodobnega izobraževanja in zdravstva, saj pomembno spreminja načine učenja, poučevanja in strokovnega razvoja. Temeljno izhodišče magistrskega dela je raziskati, kako študenti fizioterapije dojemajo, uporabljajo in vrednotijo vlogo UI v svojem študijskem procesu ter kako ta vpliva na njihovo motivacijo, strokovno rast in oblikovanje prihodnje poklicne identitete. Metode: Raziskava temelji na kvantitativnem raziskovalnem pristopu, s katerim smo preučevali stopnjo poznavanja, uporabo in dojemanje UI med študenti fizioterapije na Alma Mater Europaea. Podatke smo zbrali z anketnim vprašalnikom, oblikovanim na podlagi pregleda relevantne literature in prilagojenim ciljem raziskave. V raziskavi je sodelovalo 207 študentov dodiplomskega študijskega programa Fizioterapija ter magistrskega študijskega programa Zdravstvene vede – smer fizioterapija. Zbrani podatki so bili statistično obdelani z uporabo opisne statistike in testiranja hipotez v programu IBM SPSS Statistics (verzija 27), pri čemer je bila statistična značilnost določena pri α = 0,05. Rezultati: Rezultati raziskave so pokazali, da je uporaba UI med študenti fizioterapije razširjena, pri čemer se pogostost in načini uporabe razlikujejo glede na stopnjo študija in predhodno znanje o UI. Višja raven poznavanja UI ni nujno povezana z večjim zaupanjem v njen potencial, kar nakazuje na razvoj profesionalne refleksivnosti in etične občutljivosti med študenti. Pogostejša uporaba UI je bila povezana z učinkovitejšim učenjem, poglobljenim razumevanjem učne snovi ter večjo samostojnostjo in angažiranostjo študentov. Razprava/Zaključek: UI ima pomemben potencial v izobraževanju fizioterapevtov. Omogoča poglobljeno razumevanje vsebin, spodbuja refleksijo in kritično mišljenje ter krepi samostojnost študentov v študijskem procesu, hkrati pa kaže tudi pomemben potencial za uporabo v klinični praksi.
Keywords:umetna inteligenca, fizioterapija, izobraževanje, učenje, motivacija
Place of publishing:Maribor
Place of performance:Maribor
Publisher:M. Šurbek Klepec
Year of publishing:2026
Year of performance:2026
Number of pages:66 str., [8] f. pril.
PID:20.500.12556/ReVIS-13887 New window
COBISS.SI-ID:279289859 New window
UDC:004.89:615.82-057.875(043.5)
Publication date in ReVIS:25.05.2026
Views:34
Downloads:0
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Secondary language

Language:English
Abstract:Introduction: Artificial intelligence (AI) is becoming an indispensable part of modern education and healthcare, as it significantly transforms approaches to learning, teaching, and professional development. The primary aim of this master’s thesis is to ivestigate how physiotherapy students perceive, use and evaluate the role of AI in their study process, as well as how AI influences their motivation, professional development, and the formation of their future professional identity. Methods: The study is based on a quantitative research approach aimed at examining the level of knowledge, use, and perception of AI among physiotherapy students at Alma Mater Europaea. Data were collected using a questionnaire developed on the basis of a review of relevant literature and adapted to the specific objectives of the research. The sample included 207 students from the undergraduate Physiotherapy study programme and the master’s study programme in Health Sciences – Physiotherapy. The collected data were statistically analysed using descriptive statistics and hypothesis testing in IBM SPSS Statistics (version 27), with statistical significance set at α = 0.05. Results: The results indicate that the use of AI is widespread among physiotherapy students, with differences in frequency and modes of use depending on the level of study and prior knowledge of AI. A higher level of AI knowledge was not necessarily associated with greater trust in its potential, suggesting the development of professional reflexivity and ethical awareness among students. More frequent use of AI was associated with more effective learning, deeper understanding of course content and greater student autonomy and engagement. Discussion/Conclusion: AI has significant potential in the education of physiotherapists. It facilitatesa a deeper understanding of content, encourages reflection and critical thinking, and enhances student’ autonomy in the learning process, while also demonstrating considerable potential for application in clinical practice.
Keywords:artificial intelligence, physiotherapy, education, learning, motivation


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