Search Results (49)

This study investigated pre-service teachers’ (PTs) intentions to adopt generative AI (GenAI) tools in future classrooms by applying an extended Technology Acceptance Model (TAM). Participants were enrolled in multiple teacher-preparation programs within a single U.S. higher education institution. Through a structured GenAI-integrated activity using Khanmigo, a domain-specific AI platform for K-12 education, PTs explored AI-supported instructional tasks. Post-activity data were analyzed using PLS-SEM. The results showed that perceived usefulness (PU), perceived ease-of-use (PEU), and self-efficacy (SE) significantly predicted behavioral intention (BI) to adopt GenAI, with SE also influencing both PU and PEU. Conversely, personal innovativeness in IT and perceived cyber risk showed insignificant effects on BI or PU. The findings underscored the evolving dynamics of TAM constructs in GenAI contexts and highlighted the need to reconceptualize ease-of-use and risk within AI-mediated environments. Practically, the study emphasized the importance of preparing PTs not only to operate AI tools but also to critically interpret and co-design them. These insights inform both theoretical models and teacher education strategies, supporting the ethical and pedagogically meaningful integration of GenAI in K-12 education. Theoretical and practical implications are discussed. Full article

This study used an equity ethic framework and a STEM identity model to contextualize and understand Latine students’ perceptions of STEM identity development. The purpose of this study was to investigate how Latine undergraduate students who engaged in STEM coursework perceived their learning experiences and stories of resilience through an equity ethic framework. Data were collected through interviews with 19 Latine college students attending a Hispanic-Serving Institution. Findings revealed the following themes related to Latine students’ STEM identity development and lived experiences in STEM coursework: implicit biases, imposter syndrome, self-efficacy, and support system and resources. Findings highlight the need for institutions of higher education to promote Latine students’ self-efficacy to positively influence STEM identity development while addressing systemic issues, such as implicit biases and imposter syndrome to create safe, growth-enhancing educational climates for students with minoritized identities. We provided implications to cultivate Latine students’ STEM identity development through inclusive teaching and learning practices that foster equitable learning environments as well as institutional resources that support students’ mental health and resilience. Implications of this study can be modeled at HSIs to positively influence STEM identity development and increase Latine students’ persistence in STEM fields. Full article

This study validates a Spanish-language instrument designed to assess self-efficacy, digital competence, and anxiety in data-driven decision-making (DDDM) among pre-service teachers. Based on the 3D-MEA and the Beliefs about Basic ICT Competencies scale, the instrument was culturally adapted for Chile and Spain. A sample of 512 participants underwent exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Given the ordinal nature of the data and the assumption of non-normality, appropriate estimation methods were utilized. Results supported a well-defined four-factor structure: Interpretation and Application, Technology, Identification, and Anxiety. Factor loadings ranged from 0.678 to 0.869, and internal consistency was strong (α = 0.802–0.888). The CFA confirmed good model fit (χ² (129) = 189.25, p < 0.001; CFI = 0.985; TLI = 0.981; RMSEA = 0.041; SRMR = 0.061). Measurement invariance was established across gender and nationality, reinforcing the validity of cross-group comparisons. The study is framed within an educational context aligned with socioformative principles and sustainable education goals, which support reflective and ethical data use. This validated tool addresses the lack of culturally adapted and psychometrically validated instruments for assessing DDDM competencies in Spanish-speaking contexts, offering a culturally and linguistically relevant instrument with strong internal consistency and a well-supported factor structure. It supports the design of formative strategies in teacher education, enabling the identification of training needs and promoting evidence-based pedagogical decision-making in diverse Hispanic contexts. Future studies should test factorial invariance across additional contexts and explore longitudinal applications. Full article

With the rapid development of generative artificial intelligence, its application in the workplace has shown significant innovative potential and practical value. However, the existing literature lacks a systematic and widely applicable definition and measurement framework for Generative AI Literacy. Based on the existing literature and following a rigorous scale development process, this study constructs a Generative AI Literacy measurement framework that covers five core dimensions, basic technical competence, prompt optimization, content evaluation, innovative application, and ethical and compliance awareness, and validates its reliability and validity. Furthermore, based on the Ability–Motivation–Opportunity (AMO) theory, this study explores the mechanism through which Generative AI Literacy influences employee job performance and examines the mediating role of Creative Self-Efficacy. The results show that Generative AI Literacy has a significant positive impact on job performance (β = 0.680, p < 0.001), with Creative Self-Efficacy playing a partial mediating role (indirect effect = 0.537). The developed five-dimensional framework demonstrates strong psychometric properties and provides empirical evidence for AI literacy’s role in enhancing workplace performance through Creative Self-Efficacy mechanisms. This study provides an effective measurement tool for research on the application of Generative AI Literacy in workplace settings and offers practical insights for organizations to optimize performance and promote the responsible use of AI. Full article

Spinal cord injury (SCI) is a debilitating neurological condition that leads to severe disabilities, significantly reducing patients’ quality of life and imposing substantial societal and economic burdens. SCI involves a complex pathogenesis, including primary irreversible damage and secondary injury driven by neuroinflammation, apoptosis, and ischemia. Current treatments often provide limited efficacy, underscoring the urgent need for innovative therapeutic strategies. This paper aims to explore the potential use of stem cell (SC) therapy and exosome-based treatments as transformative approaches for managing SCI and mitigating associated disabilities. SCs, such as mesenchymal stem cells (MSCs), neural stem cells (NSCs), and embryonic stem cells (ESCs), demonstrate regenerative capabilities, including self-renewal, differentiation into neurons and glial cells, and modulation of the injury microenvironment. These properties enable SCs to reduce inflammation, inhibit apoptosis, and promote neuronal regeneration in preclinical models. Exosome-based therapies, derived from SCs, offer a novel alternative by addressing challenges like immune rejection and tumorigenicity. Exosomes deliver biomolecules, such as miRNAs, fostering anti-inflammatory, anti-apoptotic, and pro-regenerative effects. They have shown efficacy in improving motor function, reducing glial scarring, and enhancing axonal regrowth in SCI models. The objective of this paper is to provide a comprehensive review of SC therapy and exosome-based approaches, emphasizing their potential to revolutionize SCI management while addressing ethical concerns, immune rejection, and the need for large-scale clinical trials. These therapies hold promise for improving recovery outcomes and alleviating the profound disabilities associated with SCI. Full article

The rapid advancement of artificial intelligence (AI) and digital transformation is reshaping labor markets, emphasizing creativity as a core competency in entrepreneurship education. Large Language Models (LLMs) provide personalized learning experiences through natural language processing (NLP), enhancing real-time feedback and problem-solving skills. However, research on how LLMs foster creativity in entrepreneurship education remains limited. This study analyzed the technical characteristics and educational impact of LLMs, focusing on their applications in entrepreneurship education and their role in fostering creativity-driven learning environments. Specifically, it explores the educational effects of LLMs, their integration into entrepreneurship education, and the ways in which they enhance learners’ creative thinking. A systematic literature review using the PRISMA methodology was conducted to analyze existing studies. Findings suggest that LLMs improve self-efficacy, cognitive engagement, and creative problem-solving, supporting entrepreneurship education in areas such as business model development, market analysis, and multicultural communication. Despite these benefits, concerns remain regarding over-reliance, ethical risks, and the need for critical thinking frameworks. This study proposes a hybrid model integrating LLMs with traditional pedagogies to maximize creativity. Future research should explore long-term effects, cross-cultural applications, and ethical challenges to ensure responsible implementation. Full article

Although there are studies on digital competence in higher education, there are very few studies on digital safety competence. This study aims to explore the impact of digital safety competence on students’ higher-order thinking and AI-related outcomes. Using a cross-sectional design, 159 university students completed an online questionnaire to measure cognitive competence, Al self-efficacy, AI ethics, and moral competence. Results showed that digital safety competence was positively and significantly related to cognitive competence, AI self-efficacy, AI ethics, and moral competence (p < 0.05). Our study extends the literature by highlighting the role of digital safety competence. Educators and university policy makers may consider incorporating digital competence, especially in the area of safety, into their teaching and learning strategies. Full article

Background: Serious games (SGs) are primarily aimed at promoting learning, skills training, and rehabilitation. Artificial intelligence, immersive technologies, the metaverse, and neurotechnologies promise the next revolution in gaming. Meta-skills are considered the “must-have” skills for thriving in the era of rapid change, complexity, and innovation. Μeta-skills can be defined as a set of higher-order skills that incorporate metacognitive, meta-emotional, and meta-motivational attributes, enabling one to be mindful, self-motivated, self-regulated, and flexible in different circumstances. Skillfulness, and more specifically meta-skills development, is recognized as a predictor of optimal performance along with mental and emotional wellness. Nevertheless, there is still limited knowledge about the effectiveness of integrating cutting-edge technologies in serious games, especially in the field of meta-skills training. Objectives: The current systematic review aims to collect and synthesize evidence concerning the effectiveness of advanced technologies in serious gaming for promoting meta-skills development. Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology was employed to identify experimental studies conducted in the last 10 years. Four different databases were employed: Web of Science, PubMed, Scopus, and Google Scholar. Results: Forty-nine studies were selected. Promising outcomes were identified in AI-based SGs (i.e., gamified chatbots) as they provided realistic, adaptive, personalized, and interactive environments using natural language processing, player modeling, reinforcement learning, GPT-based models, data analytics, and assessment. Immersive technologies, including the metaverse, virtual reality, augmented reality, and mixed reality, provided realistic simulations, interactive environments, and sensory engagement, making training experiences more impactful. Non-invasive neurotechnologies were found to encourage players’ training by monitoring brain activity and adapting gameplay to players’ mental states. Healthy participants (n = 29 studies) as well as participants diagnosed with anxiety, neurodevelopmental disorders, and cognitive impairments exhibited improvements in a wide range of meta-skills, including self-regulation, cognitive control, attention regulation, meta-memory skills, flexibility, self-reflection, and self-evaluation. Players were more self-motivated with an increased feeling of self-confidence and self-efficacy. They had a more accurate self-perception. At the emotional level, improvements were observed in emotional regulation, empathy, and stress management skills. At the social level, social awareness was enhanced since they could more easily solve conflicts, communicate, and work in teams. Systematic training led to improvements in higher-order thinking skills, including critical thinking, problem-solving skills, reasoning, decision-making ability, and abstract thinking. Discussion: Special focus is given to the potential benefits, possible risks, and ethical concerns; future directions and implications are also discussed. The results of the current review may have implications for the design and implementation of innovative serious games for promoting skillfulness among populations with different training needs. Full article

Background: Academic integrity is an important component of nursing education, bridging academic ethics with professional practice. This study evaluated the effectiveness of a co-designed Academic Integrity digital serious game in improving nursing students’ self-efficacy related to academic integrity, academic offenses, professionalism, and artificial intelligence use. Methods: A pre-test/post-test design was employed, using a bespoke questionnaire to assess 303 first-year nursing students’ self-efficacy before and after playing the game. The questionnaire covered five subscales: academic integrity standards, academic offenses, professional values, feedback processes, and AI use in academic work. Results: Statistically significant improvements were observed across all subscales following the intervention, indicating enhanced self-efficacy in understanding and applying academic integrity principles, recognizing academic offenses, demonstrating professional behaviors, utilizing feedback, and appropriately using AI in academic contexts. Conclusions: The Academic Integrity digital serious game has the potential to be an effective tool for enhancing nursing students’ self-efficacy in the areas of academic and professional ethics. This approach shows promise for integrating academic integrity-based education in nursing curricula and preparing students for the ethical challenges of modern healthcare practice. This study was not registered. Full article

The gut microbiota is a complex and dynamic ecosystem that plays a fundamental role in human health by regulating immunity, metabolism, and the gut–brain axis. Beyond its critical physiological functions, it has emerged as a rich source of inspiration for biomimetic innovations in healthcare and biotechnology. This review explores the transformative potential of microbiota-based biomimetics, focusing on key biological mechanisms such as resilience, self-regulation, and quorum sensing. These mechanisms have inspired the development of innovative applications, including personalized probiotics, synbiotics, artificial microbiomes, bioinspired biosensors, and bioremediation systems. Such technologies aim to emulate and optimize the intricate functions of microbial ecosystems, addressing challenges in healthcare and environmental sustainability. The integration of advanced technologies, such as artificial intelligence, bioengineering, and multi-omics approaches, has further accelerated the potential of microbiota biomimetics. These tools enable the development of precision therapies tailored to individual microbiota profiles, enhance the efficacy of diagnostic systems, and facilitate the design of environmentally sustainable solutions, such as waste-to-energy systems and bioremediation platforms. Emerging areas of innovation, including gut-on-chip models and synthetic biology, offer unprecedented opportunities for studying and applying microbiota principles in controlled environments. Despite these advancements, challenges remain. The replication of microbial complexity in artificial environments, ethical concerns regarding genetically engineered microorganisms, and equitable access to advanced therapies are critical hurdles that must be addressed. This review underscores the importance of interdisciplinary collaboration and public awareness in overcoming these barriers and ensuring the responsible development of microbiota-based solutions. By leveraging the principles of microbial ecosystems, microbiota biomimetics represents a promising frontier in healthcare and sustainability. This approach has the potential to revolutionize therapeutic strategies, redefine diagnostic tools, and address global challenges, paving the way for a more personalized, efficient, and sustainable future in medicine and biotechnology. Full article

Ethical management is key to ensuring organizational sustainability, through resources such as autonomy or self-efficacy. However, economic and social uncertainty occasionally leads to adaptive responses that prioritize profit as the primary interest, blurring the integrating role of ethical leadership. There are a number of studies that support this reality in a virtual work environment. This sector-specific and cross-sectional research explores how ethical leadership influences self-efficacy among teleworkers, through active commitment to job autonomy, and how an egoistic climate hinders this influence. The analysis is quantitative and correlational, and the sample includes 448 teleworkers. A model of conditional indirect effects, including both a mediation process and a moderation process, is used. The results support that ethical leadership enhances followers’ self-efficacy through a redistribution of responsibilities, which increases the perception of autonomy. However, when ethical leadership coincides with a climate that has opposing interests, such as an egoistic climate, ethical leadership is unable to counteract it, and its effect on self-efficacy gradually diminishes. The benefits of this management style are widely known, but it is crucial to understand under what circumstances it loses efficacy. This research presents a new theoretical model that contributes to the existing literature on ethical leadership. Lastly, organizations that embrace ethical leadership can avoid the emergence of ethical climates disconnected from collective benefit, such as those characterized by selfishness, which hinder prosocial motivation. In this context, ethical leadership fosters the development of high-quality interpersonal relationships with followers, which are considered essential for creating an environment conducive to group learning. Consequently, change management in organizations necessitates the adoption of an ethical system that enhances self-efficacy through moral principles, rather than relying solely on individualistic aspects. Full article

A crucial aspect of delivering healthcare is infection prevention and control (IPC), especially in public hospitals where the high volume of patients and limited resources can heighten the risk of healthcare-associated infections. This qualitative study explores IPC nurses’ knowledge, attitudes, and practices in public hospitals within the Limpopo province of South Africa. The study adopted a qualitative descriptive design. This qualitative study utilized self-developed validated semi-structured interviews with IPC nurses from 12 public hospitals (4 tertiary, 4 regional, and 4 district). The interviews were transcribed verbatim and analysed using thematic analysis to identify key themes related to knowledge, attitudes, and practices in IPC. Each interview lasted approximately 15 to 20 min. Themes and subthemes that emerged provided a structured overview of the key aspects discussed. Each theme captures a different facet of the experiences, perceptions, and challenges faced by IPC nurses in their role. The subthemes further break down these views into specific areas of focus, offering deeper insights into the nurses’ experiences of their professional responsibilities. This study shows that, although IPC nurses have a good understanding of infection control and a positive attitude toward it, systemic problems and resource constraints make it difficult to consistently implement optimal practices. Affective mood, opportunity cost, coherence of the intervention, burden, perceived efficacy, self-efficacy, and ethics are among the major themes that were found. To improve IPC efforts, there is a clear need for more focused training, resources, and managerial support. Full article

This study investigates how social exclusion influences sustainable consumption patterns, specifically examining its impact on upcycled product adoption as a key metric of circular economy implementation, while also examining the moderating effects of self-efficacy and consumer innovativeness. As social isolation becomes increasingly prevalent in modern society, understanding its effects on sustainable consumption behaviors has become crucial. A survey involving 857 participants was executed in October 2024, and the data were analyzed using structural equation modeling with EQS 6.4. The results revealed that social exclusion positively influences both purchase intention for upcycled products and the perception of ethical consumption. Furthermore, an enhanced perception of ethical consumption significantly enhances purchase intention for upcycled products. Self-efficacy demonstrated significant moderating effects throughout all relationships in the model, notably pronounced in the relationship between social exclusion and ethical consumption awareness. Consumer innovativeness exhibited a significant moderating effect solely on the association between social exclusion and ethical consumption perception, but not on purchase intentions. This research advances sustainability measurement frameworks by establishing quantifiable links between psychological factors and sustainable consumption outcomes, offering practical metrics for assessing the social dimensions of sustainability implementation. Full article

Doping prevention transcends elite sports, highlighting a broader societal challenge where performance enhancement is driven by pressures to increase strength, beauty, and status. This issue extends to adolescents and non-competitive sports participants, where self-optimization pressures are increasingly normalized. Research underscores the need for tailored educational interventions that go beyond punitive measures, fostering ethical decision-making and personal responsibility. The recent literature emphasizes that addressing psychological protective factors, such as self-efficacy and emotional regulation, can effectively mitigate substance use risks. The project “Sport Informa” involved the educational community and adolescents between the ages of 16 and 19, with the goal of providing knowledge about the phenomenon of doping and acquiring tools useful for enhancing self-esteem and self-management skills, in order to prevent the risk of doping by promoting a balanced psychophysical development in young people. A 16 h online training program was delivered to high school teachers. The training provided knowledge about doping, its psychological and social implications, and practical tools for promoting protective factors in students. A longitudinal design was employed, with data collected before and after the intervention using validated psychometric tools, including the Self-Efficacy Scale, the Self-Compassion Scale, and the Emotional Regulation Questionnaire. Results showed significant improvements in teachers’ psychological dimensions, particularly in self-efficacy and emotional regulation, which they subsequently applied in their interactions with students. Finally, a survey was conducted with young participants who took part in the project activities to assess their self-evaluation of key factors relevant to designing future educational interventions and events aimed at preventing doping use. Full article

While tourism boycotts can have a considerable economic impact on a target entity, critics often question their effectiveness in changing the target entity’s behavior, particularly in international contexts. Despite these challenges, tourism boycotts have increased over time. This study explores the dynamics of tourism boycotts amid international political conflicts and investigates the motivations behind consumer participation. During an ongoing national boycott in South Korea, we conducted an online survey with a nationally representative adult panel, gathering 962 responses for analysis. Our findings reveal that tourism boycott participants—primarily women, older individuals, those with higher education and income, and the progressive—resemble consumer boycott participants in Europe and the U.S. While perceived efficacy (instrumental motivation) is often emphasized in consumer boycotts as a key variable for participation, our study suggests that tourism boycotts are primarily driven by expressive motivations, such as self-esteem and guilt, rather than a mix of instrumental and expressive factors. This suggests that consumers engage in tourism boycotts not necessarily to achieve tangible outcomes, but to express personal or ethical values, highlighting a distinctive nature of tourism boycotts in the landscape of consumer activism. Full article