RESUMO
This study analyzes the perception and usage of ChatGPT based on the technology acceptance model (TAM). Conducting reticular analysis of coincidences (RAC) on a convenience survey among university students in the social sciences, this research delves into the perception and utilization of this artificial intelligence tool. The analysis considers variables such as gender, academic year, prior experience with ChatGPT, and the training provided by university faculty. The networks created with the statistical tool "CARING" highlight the role of perceived utility, credibility, and prior experience in shaping attitudes and behaviors toward this emerging technology. Previous experience, familiarity with video games, and programming knowledge were related to more favorable attitudes towards ChatGPT. Students who received specific training showed lower confidence in the tool. These findings underscore the importance of implementing training strategies that raise awareness among students about both the potential strengths and weaknesses of artificial intelligence in educational contexts.
RESUMO
Healthcare-associated infections (HAI) are one of the major concerns worldwide, posing significant challenges to healthcare professionals' education and training. This study intended to measure nursing students' perceptions regarding their learning experiences on HAI prevention and control. In the first phase of the study, a cross-sectional and descriptive study with a convenience sample composed of undergraduate nursing students from Portugal, Spain, Poland, and Finland was conducted to develop the InovSafeCare questionnaire. In the second phase, we applied the InovSafeCare scale in a sample of nursing students from two Portuguese higher education institutions to explore which factors impact nursing students' adherence to HAI prevention and control measures in clinical settings. In phase one, the InovSafeCare questionnaire was applied to 1326 students internationally, with the instrument presenting adequate psychometric qualities with reliability results in 14 dimensions. During phase two, the findings supported that Portuguese nursing students' adherence to HAI prevention and control measures is influenced not only by the curricular offerings and resources available in academic settings, but also by the standards conveyed by nursing tutors during clinical placements. Our findings support the need for a dedicated curricular focus on HAI prevention and control learning, not only through specific classroom modules, innovative resources, and pedagogical approaches, but also through a complementary and coordinated liaison between teachers and tutors in academic and clinical settings.
RESUMO
Healthcare-associated infections are one of the major concerns worldwide. This study presents the development and the validation process of the InovSafeCare scale and aimed at identifying and measuring the ecosystem variables related to healthcare-associated infection (HCAI) prevention and control practices in European nurse students. Qualitative and quantitative approaches were used to (1) elaborate an item pool related to the educational environment, the healthcare setting environment, and the attitudes, beliefs, and performance of the nursing students regarding HCAI prevention and control and (2) analyze psychometric properties of the scale using factor analysis. The validated InovSafeCare scale was applied to undergraduate nursing students of five European Higher Education Institutions. The partial least square structural equation modeling (PLS-SEM) method with SMART-PLS3 software was used. The study sample consists of 657 nursing students, who responded a self-report inventory. From the analyzed data were identified 14 factors. The InovSafeCare scale reveals good validity and reliability of the dimensions in different European countries.