Extended Reality in Higher Education, a Responsible Innovation Approach for Generation Y and Generation Z

Assessing the virtual reality perspectives and self-directed learning skills of nursing students: A machine learning-enhanced approach

AIM

This study aims to investigate nursing students' perspectives on virtual reality technologies and their self-directed learning skills, specifically focusing on how these variables interact and influence each other in the context of nursing education. We also discern potential disparities in these skills based on descriptive characteristics, using both traditional statistical and advanced machine learning approaches for a comprehensive analysis.

BACKGROUND

Rapid developments in technology, particularly during the Covid-19 pandemic, have brought virtual reality technologies to the forefront of nursing education. However, there is a gap in understanding how nursing students' perceptions of these technological relate to their development of self-directed learning skills.

DESIGN

A descriptive and cross-sectional study design is employed to both quantify nursing students' perspectives on virtual reality in their education and assess their self-directed learning skills. This approach integrates traditional statistical methods with advanced machine learning techniques, with the intention of offering a comprehensive and nuanced analysis to inform future teaching strategies in nursing.

METHODS

The study used a blend of survey scales and a tree-based machine learning model to measure and analyze nursing students' views, attitudes and self-directed learning levels. This dual approach allows for a more detailed assessment of the factors influencing self-directed learning abilities. Traditional statistical techniques were also applied to assess the reliability of the machine learning findings.

RESULTS

Findings reveal that nursing students generally held positive views towards virtual reality technologies and exhibited a high level of self-directed learning skills. Notable differences in self-directed learning skills were influenced by gender on the overall scale (p <0.001), with male students scoring higher than their female counterparts in both specific sub-dimensions and on the overall scale, but not by academic year. The machine learning analysis provided deeper insights into these variations, highlighting subtle distinctions in student demographics that traditional statistical methods did not fully capture.

CONCLUSIONS

The study offers valuable insights into interconnected nature of nursing students' views on virtual reality technologies and their self-directed learning skills. The results support the integration of virtual reality in nursing curriculum programs and underscore the importance of customizing teaching strategies based on insights gained from machine learning analyses. This approach has the potential to substantially improve both the learning experience and the overall quality of nursing education.

What drives responsible innovation in polluting small and medium enterprises?: an appraisal of leather manufacturing sector

Responsible innovation (RI) has always been a major topic in discussions about environmental concerns, such as the depletion of natural resources, economic advancement, climate change, and social responsibility. Still, its incorporation in the business field is in its early stages, particularly among small and medium enterprises (SMEs). This research aims to investigate the influence of internal and external drivers on RI and sustainable competitive advantage (SCA). The hypotheses of the study are examined through the Structural equation modeling (SEM) technique, and data were gathered from 291 owners/managers of leather manufacturing SMEs through simple random sampling. The study found that external drivers significantly and positively impact RI strategies, whereas internal drivers have an insignificant relationship with RI strategies. Furthermore, RI strategies have a significant and positive relationship with SCA. This study adds to the existing literature by focusing on predictors that impact SCA. This initial study examines the influence of external and internal drivers on RI and SCA using dynamic capability theory and institutional theory. On these bases, relevant recommendations have been made to promote RI from the perspective of the government and SMEs.

Deconstructing Immersion in the Experience Economy Framework for Immersive Dining Experiences through Mixed Reality

In this study, we test the immersive character in an interactive content narrative developed for Microsoft HoloLens 2 mixed reality glasses in the dining context. We use retrospective think aloud protocol (RTAP) and galvanic skin response (GSR) to explore different types of immersion that can be created through interactive content narratives. Leaning on the core dimensions of the experience economy, we expand the current understanding on the role of immersion through integration of four immersive experience facilitators. The study revealed that these immersive experience facilitators occur simultaneously and can be enhanced through interactive content narrative design. Perceived novelty and curiosity were identified as key determinants to keep consumers engaged in the immersive experience and engage with the content. The study verifies the use of galvanic skin response in combination with retrospective think aloud protocol as a suitable approach to measure emotional engagement potential in interpreting consumers' recollection of immersive experiences.

Smart Mobility in a Smart City in the Context of Generation Z Sustainability, Use of ICT, and Participation

Smart sustainable cities represent a great challenge for the modern world. Generation Z (Gen Z), whose representatives are now entering adult life, will play a key role in the implementation of this concept. The purpose of this study is to investigate the nature of the relationship between the evaluation of smart mobility’s importance for a smart city and the attitudes and behaviours of Generation Z members in the context of sustainability, use of ICT, and their declarative and actual participation in smart city activities. The diagnostic survey method was used to achieve the research objective. The authors designed the questionnaire based on a literature analysis. The research sample consisted of 484 representatives of Generation Z—students of universities located in a smart city, Lublin (Poland). The collected data was statistically analysed using the following methods and statistical tests: Cronbach’s alpha, Pearson’s chi-square test for independence, symmetric measures: Cramer’s V, and the contingency coefficient. The analysis of the obtained research results confirms that the conscious approach of Generation Z to sustainability has a significant and positive impact on their evaluation of actions taken in the field of smart mobility for a smart city. A similar relationship was confirmed with regard to the relationship between ICT use and smart mobility evaluation. The significant and positive impact of young people’s participation in smart cities on their evaluation of smart mobility solutions’ importance was not fully and unequivocally confirmed. In conclusion, the Generation Z representatives’ awareness of the importance of sustainability and caring for the natural environment was confirmed by their desire to be pro-ecological in the areas of smart mobility studied in the paper. Moreover, young people who constantly use the latest technologies see their huge potential for the development of smart mobility in cities. However, despite the growing expectations of citizens’ active attitudes and their increasing participation in smart mobility development, it seems that the representatives of Generation Z are not really interested in it. Their declarations of willingness to join various opinion-forming and decision making processes do not actually transform them into active co-creators of smart mobility solutions. Changing this approach can be an educational, organisational and technological challenge for smart city authorities. The obtained research results could be used as guidelines for facilitating the search for innovative solutions in the area of smart mobility, improving the quality of life of smart city residents based on the principle of sustainable development.

Artificial Intelligence Potential in Higher Education Institutions Enhanced Learning Environment in Romania and Serbia

In their struggle to offer a sustainable educational system and transversal competencies for market requests, significant transformations characterise the higher education system in Serbia and Romania. According to EU policy, these transformations are related to educational reforms and the introduction of new technology and methodologies in teaching and learning. They are expected to answer to the PISA requirements and to increase the DESI (Digital Economy and Society Index). They are also likely to mitigate the inequity of HEIs (higher education institutions), empowered by a structured, goal-oriented strategy towards agile management in HEIs that is also appropriate for new market demands. Our study is based on an exploratory survey applied to 139 Romanian and Serbian teachers from the Information Technology School—ITS, Belgrade, and Spiru Haret University, Romania. The survey let them provide their knowledge of AI or their perceptions of the difficulties and opportunities of these technologies in HEIs. Our study discovered how difficulties and opportunities associated with AI impact HEIs. This study aims to see how AI might assist higher education in Romania and Serbia. We also considered how they might be integrated with the educational system, and if instructors would utilise them. Developing creative and transversal skills is required to anticipate future breakthroughs and technological possibilitiesThe new methods of education focuses on ethics, values, problem-solving, and daily activities. Students’ learning material, how they might achieve critical abilities, and their educational changes must be addressed in the future. In this environment, colleges must create new digital skills in IA, machine learning, IoT, 5G, the cloud, big data, blockchain, data analysis, using MS Office and other applications, MOOCs, simulation applications, VR/AR, and gamification. They must also develop cross-disciplinary skills and a long-term mindset.

Predicting User Behaviour Based on the Level of Interactivity Implemented in Blockchain Technologies in Websites and Used Devices

Today’s business development processes force companies to find ways to increase the level of interactivity of their products with consumers. One of the ways that companies communicate interactively with users is communication via websites; another way is using a channel that makes the customer more loyal to the company. The aim of this paper is to point out the differences between the effects that interactive and non-interactive blockchain technologies have on users and their behavior, as well as to determine whether the same degree of interactivity is achieved with users who use the same site via computers or mobile phones. For this purpose, three models by Song, Liu, and Wu were compared, which gives this paper a superior precision and depth of research regarding the above-mentioned problem. Furthermore, the contributions of the paper are reflected in a comprehensive and detailed review of previous research on the topic of interactivity and the importance of using a website, showing the specific effects expected from users after the introduction of interactive website features, as well as indicating a difference in customer perception and behavior after using a different site search device.

The Development of Extended Reality in Education: Inspiration from the Research Literature

Education is an important driving force for sustainable social development. Emerging technologies such as extended reality (XR), including augmented reality (AR), virtual reality (VR) and mixed reality (MR), have been widely used. Recently, a large number of theoretical and empirical studies on the use of XR in the field of education for sustainable development have emerged. This paper uses bibliometric analysis to analyze the publication and citation trends of articles, prolific authors, institutions and countries, influential works, current topics, emerging trends, and knowledge structure to explore the overall productivity and XR research trends in the field of education for the period 1991–2021. Future development directions are also considered. On the basis of bibliometric analysis, this paper puts forward suggestions for the application of XR in the field of education for sustainable development.