1. Perceptions, ethical challenges and sustainable integration of generative AI in health science education : a cross-sectional studyMirko Prosen, Sabina Ličen, 2025, original scientific article Abstract: first_pagesettingsOrder Article Reprints Open AccessArticle Perceptions, Ethical Challenges and Sustainable Integration of Generative AI in Health Science Education: A Cross-Sectional Study by Mirko ProsenORCID andSabina Ličen *ORCID Faculty of Health Sciences, University of Primorska, Polje 42, 6310 Izola, Slovenia * Author to whom correspondence should be addressed. Sustainability 2025, 17(14), 6546; https://doi.org/10.3390/su17146546 Submission received: 30 May 2025 / Revised: 15 July 2025 / Accepted: 17 July 2025 / Published: 17 July 2025 (This article belongs to the Special Issue E-Learning and Educational Technologies for Sustainable Transformation of Education) Downloadkeyboard_arrow_down Versions Notes Abstract Generative artificial intelligence (AI) is changing higher education. Understanding students’ perceptions, usage behaviour and ethical concerns is crucial for the responsible and sustainable use of AI in the academic environment. The aim of this study was to explore the perceptions, experiences and challenges of health sciences students in relation to the use of generative AI in their academic learning. A descriptive cross-sectional survey was conducted with 397 students enrolled in four undergraduate health-related degree programmes in Slovenia, including nursing, physiotherapy, dietetics and applied kinesiology. The data was collected using a validated 27-point scale. Students were generally favourable towards AI, especially in terms of its perceived usefulness, integration into their daily study routine and ethical considerations. Regression analyses revealed that frequency of AI use, duration of use, self-reported skill level and confidence in using AI significantly predicted perceived usefulness. Gender differences were found, with male students reporting higher perceived usefulness and fewer concerns. Students recognised the potential of generative AI but emphasised the importance of ethical guidance, digital literacy and equal access. Institutions should prioritise structured training and inclusive strategies to ensure meaningful, sustainable and responsible integration of AI into health education.
Keywords: higher education, student perceptions, digital literacy, AI integration, sustainable education, equity, ethics
Published in RUP: 21.07.2025; Views: 460; Downloads: 2
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2. Empowering men to take control of their own health : development and validation of the Men’s Response to Colorectal Cancer Screening Scale (MR–CCSS)Vesna Jašič, Mirko Prosen, Sabina Ličen, 2025, original scientific article Abstract: Background/Objectives: Despite the proven effectiveness of colorectal cancer screening, men are less likely to participate than women, with emotional, behavioural and informational barriers contributing to this disparity. The aim of this study was to develop and validate the Men’s Response to Colorectal Cancer Screening Scale (MR–CCSS), a gender-sensitive instrument for measuring key factors that influence the participation of men in colorectal cancer screening. Methods: The scale was developed through a structured process that included qualitative data from focus groups (n = 20 men) and expert review (n = 11 professionals). Initial item pools were refined based on indices of content validity (I-CVI ≥ 0.78; S-CVI/Ave ≥ 0.90), resulting in a 23-item scale. The MR–CCSS was administered to 289 Slovenian men aged 50–74 years, and its psychometric properties were assessed using exploratory factor analysis, confirmatory factor analysis and reliability tests. Results: The EFA revealed a five-factor structure. Together, these factors explained 61.9% of the total variance. The CFA confirmed the robustness of the model (CFI = 0.928, TLI = 0.910 and RMSEA = 0.056). The internal consistency was acceptable to good, with Cronbach’s alpha between 0.665 (factor 4) and 0.833 (factor 5) for the subscales and 0.863 for the total scale. The ROC analysis showed moderate predictive accuracy (AUC = 0.702), with an optimal cut-off value of 92.5 (sensitivity = 0.782 and specificity = 0.509) for participation in screening. Conclusions: The MR–CCSS is a valid and reliable tool for identifying barriers to colorectal cancer screening in men. Its use can serve as a basis for gender-specific interventions, customised health education and strategies to improve screening equity.
Keywords: colorectal cancer screening, men’s health, health behaviour, health education, gender equity, preventive health, health promotion
Published in RUP: 15.06.2025; Views: 609; Downloads: 7
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