Search Results (706)

Since the advent of generative AI, research on AI in Education (AIEd) has experienced explosive growth. This study systematically explores publication dynamics, keyword evolution, and research focuses in AIEd by analyzing 2952 papers from the Web of Science (1990–2024). Using bibliometric methods, 2800 English publications were screened, with analyses conducted via VOSviewer v1.6.20 and Python v3.11.5. Findings show a surge in publications post-2020, reaching 612 in 2023 and 1216 by November 2024. The US and China are leading contributors, with the University of London and the University of California system as core institutions. Keywords evolved from “AI” and “machine learning” (2018–2020) to “ChatGPT” and “ethics” (post-2022), reflecting dual focuses on technological applications and ethical considerations. Notably, 68% of highly cited papers address ethical controversies, while higher education and medical education emerge as primary application domains, involving personalized learning and intelligent tutoring systems. Cross-disciplinary research is evident, with education studies comprising the largest category. The study reveals AIEd’s shift toward socio-technical integration, highlighting generative AI’s transformative role yet identifying gaps in ethical governance and K-12 research. These insights inform policymakers, journals, and institutions, advocating for enhanced interdisciplinary collaboration and long-term impact research to balance innovation with educational ethics. Full article

Background/Objectives: Drug-resistant tuberculosis (DR-TB) presents significant challenges to public health, particularly in rural South Africa, where limited infrastructure, high HIV co-infection rates, and weak clinical governance contribute to poor treatment outcomes. This study evaluates treatment trajectories and the impact of clinical governance and public health interventions on DR-TB outcomes in the rural Eastern Cape. Methods: A retrospective cohort study was conducted among 323 laboratory-confirmed DR-TB patients treated between 2018 and 2021. Kaplan–Meier curves and Cox proportional hazards analysis identified predictors of unfavorable outcomes. Logistic regression analysis simulated the impact of enhanced clinical governance scenarios on treatment success. Results: Treatment outcomes included cure (36.2%), completion (26.0%), loss to follow up (LTFU) (9.0%), death (9.3%), failure (2.2%), and transfer (9.3%). The median treatment duration was 10 months (IQR: 9–11). Survival analysis indicates the highest risk of death and LTFU occurred in the first 6–8 months of treatment. Multivariate Cox regression revealed that primary (HR = 0.39; 95% CI: 0.23–0.68; p = 0.0017) and secondary education (HR = 0.50; 95% CI: 0.31–0.85; p = 0.0103) were significantly protective. Paradoxically, patients with pre-XDR (HR = 0.13; p = 0.034) and XDR TB (HR = 0.16; p = 0.043) showed lower hazard of poor outcomes, likely due to early mortality or referral. HIV-negative status was associated with higher risk of poor outcomes (HR = 1.74; p = 0.010). Simulations suggested that improved clinical governance via better follow-up, TB/HIV integration, and adherence support could improve treatment success by up to 20 percentage points in high-impact scenarios. Conclusions: Strengthening clinical governance through targeted interventions could substantially reduce LTFU and mortality, especially in vulnerable subgroups. A coordinated, patient-centered approach is critical for improving DR-TB outcomes in rural, high-burden settings. Full article

School refusal behavior, defined as a child’s prolonged voluntary absence from school for reasons unrelated to illness and/or economic hardship, is a growing concern in Japan. The COVID-19 pandemic has worsened this issue by disrupting children’s lives. This review summarizes the prevalence, contributing factors, and health implications of school refusal, particularly in the context of COVID-19. A literature review of government reports and PubMed-indexed studies indicates that school refusal in Japan has been rising for eleven years, reaching a record 340,000 cases in 2023. Middle school students (6.7%) were the most affected, followed by elementary school students (2.1%). The pandemic intensified school-related, family-related, and child-related risk factors. School closures disrupted routines, reduced peer interactions, and increased social isolation, contributing to higher rates of anxiety and depression. Reports of suicides and mental health disorders among children have also surged. Family stressors, including economic hardship and parental mental health struggles, further exacerbate school refusal. Additionally, remote learning has widened socioeconomic disparities in access to education, leaving vulnerable children at greater risk. Addressing school refusal requires a multifaceted approach involving schools, families, healthcare providers, and policymakers. School-based interventions, mental health approach, and flexible educational programs would be essential. The Japanese government’s “COCOLO Plan” represents progress toward a more inclusive education system, and a comprehensive, interdisciplinary strategy is needed. Ensuring all children receive the necessary support to reengage with education is critical to overcoming the long-term challenges posed by school refusal. Full article

This cross-country study examines how higher education institutions collaborate with government, industry, and civil society to promote the European Green Deal and Just Transition initiatives. Framed within the quadruple helix (QH) model, the research investigates emerging partnerships and the integration of green policies across six European countries: Bulgaria, Cyprus, France, Greece, Serbia, and Spain. Special emphasis is placed on the strategic role of universities in advancing the environmental, social, and economic dimensions of sustainability through their initiatives. Drawing on 30 semi-structured interviews with key stakeholders, including local public officials, academics, entrepreneurs, students, and unemployed youth, the study uncovers a growing alignment between academic initiatives and national sustainability agendas. While the extent of policy integration and collaboration varies, the findings underscore the importance of universities in shaping environmental awareness, fostering green innovation, and advancing multi-actor partnerships. The study contributes to the theoretical discourse on the QH model by applying it to the field of green transition policy and offers practical recommendations for enhancing the role of universities in sustainability-oriented governance and education. Full article

This study explores how the leadership of Chilean state universities integrates sustainability into their strategic decision-making processes. Employing a qualitative research approach using semi-structured interviews conducted across nine institutions, it analyzes the perspectives of rectors (equivalent to university presidents in Chilean higher education), vice-rectors, and members of university governing bodies. The findings reveal that although sustainability is present in institutional discourse, its actual implementation remains limited, fragmented, and subordinated to financial imperatives. Contextual constraints, adaptive rationalities, and limited stakeholder engagement shape strategic decisions. Furthermore, institutions often employ sustainability as a rhetorical or compliance-driven narrative rather than as a transformative governance principle. This study frames these findings through stakeholder theory, organizational sustainability, strategic rationality, and information governance. It concludes that embedding sustainability meaningfully in university governance requires institutional transformation—moving beyond symbolic commitments towards inclusive, evidence-driven, and participatory decision-making practices. Full article

Adherence to the 6-month tuberculosis (TB) treatment regimen is challenging due to its duration and side effects, with various factors influencing patient compliance. A retrospective cross-sectional study was conducted among newly diagnosed pulmonary TB (pTB) patients in Selangor, Malaysia, undergoing treatment in government primary care clinics and hospitals. Patients who were lost to follow-up (LTFU) within the first six months were determined by reviewing patient records and the national TB registry. Logistic regression analysis identified sociodemographic and clinical factors associated with LTFU. Of the 699 pTB patients, 55 (7.9%) were lost to follow-up. Factors significantly associated with LTFU included age (higher in 25–44-year-olds, adjusted odds ratio (aOR): 2.83), unmarried status (aOR: 2.17), lower education level (aOR: 6.13), being a smoker (aOR: 2.65), and unawareness of TB diagnosis (aOR: 38.14). A significant interaction was found between education level and awareness of diagnosis, with unawareness having a stronger association with LTFU among higher-educated patients. Young adults, those with a lower education level, unmarried individuals, smokers, and those unaware of their TB diagnosis are at higher risk of LTFU. These factors can be used for rapid risk assessment. Intensive counselling and health education at treatment initiation, particularly for at-risk patients, are crucial for preventing LTFU. Full article

With the rapid advancement of the Internet of Things (IoT), artificial intelligence (AI), and blockchain technologies, educational research has increasingly explored smart and personalized learning systems. However, current approaches often suffer from fragmented integration of health monitoring and instructional adaptation, insufficient prediction accuracy of physiological states, and unresolved concerns regarding data privacy and security. To address these challenges, this study introduces SHARP, a novel blockchain-enhanced wireless sensor networks (WSNs) framework designed for real-time student health monitoring and personalized learning in smart educational environments. Wearable sensors enable continuous collection of physiological data, including heart rate variability, body temperature, and stress indicators. A deep neural network (DNN) processes these inputs to detect students’ physical and affective states, while a reinforcement learning (RL) algorithm dynamically generates individualised educational recommendations. A Proof-of-Authority (PoA) blockchain ensures secure, immutable, and transparent data management. Preliminary evaluations in simulated smart classrooms demonstrate significant improvements: the DNN achieves a 94.2% F1-score in state recognition, the RL module reduces critical event response latency, and energy efficiency improves by 23.5% compared to conventional baselines. Notably, intervention groups exhibit a 156% improvement in quiz scores over control groups. Compared to existing solutions, SHARP uniquely integrates multi-sensor physiological monitoring, real-time AI-based personalization, and blockchain-secured data governance in a unified framework. This results in superior accuracy, higher energy efficiency, and enhanced data integrity compared to prior IoT-based educational platforms. By combining intelligent sensing, adaptive analytics, and secure storage, SHARP offers a scalable and privacy-preserving solution for next-generation smart education. Full article

In the context of increasing Artificial Intelligence integration in higher education, understanding the factors influencing university teachers’ adoption of AI tools is critical for effective implementation. This study adopts a perception–intention–behavior framework to explores the roles of perceived usefulness, perceived ease of use, perceived trust, perceived substitution crisis, and perceived risk in shaping teachers’ behavioral intention and actual usage of AI tools. It also investigates the moderating effects of peer influence and organizational support on these relationships. Using a comprehensive survey instrument, data was collected from 487 university teachers across four major regions in China. The results reveal that perceived usefulness and perceived ease of use are strong predictors of behavioral intention, with perceived ease of use also significantly influencing perceived usefulness. Perceived trust serves as a key mediator, enhancing the relationship between perceived usefulness, perceived ease of use, and behavioral intention. While perceived substitution crisis negatively influenced perceived trust, it showed no significant direct effect on behavioral intention, suggesting a complex relationship between job displacement concerns and AI adoption. In contrast, perceived risk was found to negatively impact behavioral intention, though it was mitigated by perceived ease of use. Peer influence significantly moderated the relationship between perceived trust and behavioral intention, highlighting the importance of peer influence in AI adoption, while organizational support amplified the effect of perceived ease of use on behavioral intention. These findings inform practical strategies such as co-developing user-centered AI tools, enhancing institutional trust through transparent governance, leveraging peer support, providing structured training and technical assistance, and advancing policy-level initiatives to guide digital transformation in universities. Full article

This paper investigates how governance frameworks shape sustainable tourism outcomes in protected areas by comparing Tara National Park (Serbia) and Triglav National Park (Slovenia). Both parks, established in 1981 and classified under IUCN Category II, exhibit rich biodiversity and mountainous terrain but differ markedly in governance structures, institutional integration, and local community engagement. Using a qualitative, indicator-based methodology, this research evaluates ecological, economic, and social dimensions of sustainability. The findings reveal that Triglav NP demonstrates higher levels of participatory governance, tourism integration, and educational outreach, while Tara NP maintains stricter ecological protection with less inclusive management. Triglav’s zoning model, community council, and economic alignment with regional development policies contribute to stronger sustainability outcomes. Conversely, Tara NP’s centralized governance and infrastructural gaps constrain its potential despite its significant conservation value. This study highlights the importance of adaptive, inclusive governance in achieving the Sustainable Development Goals (SDGs) within protected areas. It concludes that hybrid approaches, combining legal rigor with participatory flexibility, can foster resilience and sustainability in ecologically sensitive regions. Full article

Burnout syndrome is a growing concern in higher education, affecting the psychological well-being and performance of university professors. This systematic review presents a narrative synthesis of findings from quantitative studies on sociodemographic and psychosocial determinants of academic burnout. Following PRISMA 2020 guidelines, sixty peer-reviewed articles published between Jan 2019 and May 2024 were selected from Scopus and Web of Science. Inclusion criteria required validated psychometric instruments and exclusive focus on university faculty. Methodological quality was assessed using the Newcastle-Ottawa Scale and CASP checklist. Data from approximately 43,639 academic staff were analyzed. Key risk factors identified include excessive workload, lack of institutional support, and workplace conflict. In contrast, collegial support, participative leadership, and job satisfaction functioned as protective elements. Variables such as age, gender, academic rank, and employment stability significantly influenced burnout vulnerability. While general patterns were observed across studies, differences in design and sampling require caution in generalization. The evidence supports the implementation of integrated strategies encompassing mental health programs, workload regulation, participatory governance, and culturally responsive approaches. These findings inform the development of institutional policies aimed at preventing burnout and fostering academic well-being. Future research should adopt longitudinal and cross-cultural designs to further explore burnout trajectories and support educational reform. Full article

Background/Objectives: Vaccine hesitancy is becoming an increasing concern, leading to preventable outbreaks of infectious diseases. During the COVID-19 pandemic, the United States served as an intriguing case study for exploring how risk perception and trust in health authorities, including scientists, are influenced by government policies and how these factors affect vaccine hesitancy. Methods: We conducted a secondary analysis using the MIT COVID-19 Survey dataset to investigate whether risk perception and trust differ between states governed by Democratic or Republican governors. Results: Our analysis (n = 6119) found that participants did not vary significantly by state political affiliation in terms of their sociodemographic factors (such as age, gender, self-rated health, education, and whether they live in a city, town, or rural area), their perceived risk for the community, or their ability to control whether they become infected. However, there was a difference in the perceived risk of infection, which was higher in states governed by Republicans. Trust also varied by gubernatorial affiliation, with higher levels of trust reported among residents of Democratic-leaning states. We also found a strong mediation effect of trust on vaccine hesitancy, but this was not the case for risk perception. Conclusion: Therefore, it appears that vaccine acceptance relies on trust in health authorities, which is influenced by governmental policies. State officials should work with local health officials to build trust and increase timely responses to public health crises. Full article

Certain industries will bear a disproportionate share of the burden of climate change. Climate change risk perceptions can impact workers’ mental health and well-being; increased climate change risk perceptions are also associated with more favourable adaptive attitudes. It is, therefore, important to understand whether climate risk perceptions differ across workers between industries. We conducted an online survey of British Columbians (16+) in 2021 using social media advertisements. Participants rated how likely they believed their industry (Natural Resources, Science, Art and Recreation, Education/Law/Government, Health, Management/Business, Manufacturing, Sales, Trades) would be affected by climate change (on a scale from “Very Unlikely” to “Very Likely”). Ordinal logistic regression examined the association between occupational category and perceived industry vulnerability, adjusting for socio-demographic factors. Among 877 participants, 66.1% of Natural Resources workers perceived it was very/somewhat likely that climate change would impact their industry; only those in Science (78.3%) and Art and Recreation (71.4%) occupations had higher percentages. In the adjusted model, compared to Natural Resources workers, respondents in other occupations, including those in Art and Recreation, Education/Law/Government, Management/Business, Manufacturing, Sales, and Trades, perceived significantly lower risk of climate change-related industry impacts. Industry-specific interventions are needed to increase awareness of and readiness for climate adaptation. Policymakers and industry leaders should prioritize sectoral differences when designing interventions to support climate resilience in the workforce. Full article

This study examines how beliefs about the causes of climate change relate to emotions, perceptions of its effects, and willingness to engage in collective action among residents of the Valparaíso Region in Chile, a territory particularly vulnerable to this phenomenon. A survey was conducted with 809 individuals using stratified probabilistic sampling. Analysis of variance revealed significant differences among those who attribute climate change to human, mixed, or natural causes. The results show that individuals who believe in the anthropogenic origin of climate change report higher levels of negative emotions, anxiety, perceived impacts, and willingness to participate in both direct and institutional collective actions. Moreover, these individuals perceive greater negative effects of climate change on their surroundings and daily lives. In contrast, those who attribute the phenomenon to natural causes show a lower predisposition to act and a lower risk perception. The study concludes that causal attribution of climate change significantly influences people’s emotional and behavioral responses, highlighting the importance of strengthening climate education and communication based on scientific evidence as key tools for fostering civic engagement in the face of the environmental crisis. The findings contribute to sustainability by strengthening environmental education, participatory governance, and collective action in vulnerable contexts. Full article

As climate change consequences intensify, higher education institutions (HEIs) have an opportunity and responsibility to model sustainable operations. This study examines how embracing shared knowledge and inclusion in sustainability decision making facilitates green human resource management (GHRM) efforts to invigorate organizational environmental performance. The study examines the effects of shared and inclusive governance on campus sustainability via a regression model and the mediating role of employee participation via a structural equation modeling approach. The results show that shared governance and inclusive governance positively predict the commitment of HEIs to reducing greenhouse gas emissions, and campus engagement mediates these relationships, underscoring the importance of participation. These findings align with stakeholder theory in demonstrating that diverse voices in decision making can enhance commitment to organizational goals like sustainability. The findings also highlight the importance of shared and inclusive governance arrangements at college campuses not only for ethical reasons but also for achieving desired outcomes like carbon neutrality. For campus leaders striving to “green” their institutions, evaluating cross-departmental representation in governance structures and promoting inclusive cultures that make all students and staff feel welcome appear as important complements to GHRM practices. Full article

Since 2015 and the Paris Agreements, several countries have committed to sustainable development (SD) and the Sustainable Development Goals (SDGs). Higher Education Institutions (HEIs) have an important role to play in providing education and supporting research activities that integrate SD and SDG concepts. However, the context where the HEI is located has an impact on the level of development and integration of strategic guidelines, methods, and tools for measuring the performance of SDGs within the HEI. The United Nations framework remains the most developed and used tool, but it stays very global and needs to be adapted to other contexts, which leads to local initiatives by some HEIs in developing their tools. The response of HEIs to this challenge differs from one context to another, and this article aims to (i) provide a framework to analyze the different HEI contexts based on their own global, national, and local context; (ii) present and compare the context analysis of three different HEIs (ULaval, Sorbonne Univ, and UWE) in three different countries worldwide (Canada, France, and England), and (iii) discuss the limits, challenges, and research opportunities in the subject of SDG integration within HEIs. Notably, the context analysis of ULaval and UWE case studies showed that the Canadian and UK scales give global orientations with a delegation to the Quebec Province and England government for the education and research strategies. A strong leadership comes from the HEIs themselves in developing their own methods and tools for assessing and monitoring the SDGs, as is the case with ULaval and UWE. On the other hand, the Sorbonne Univ case follows the French national and European-United Nation framework but is less committed to developing its own tools and methods. Full article