Search Results (3,154)

A large number of ontologies have been developed over the past two decades for the education domain. Some of these ontologies are available in public repositories published within the Linked Open Data cloud. However, a significant portion of educational ontologies remain distributed across project-specific websites, making their discovery and access challenging. Ontologies designed for education often have domain- or task-specific characteristics and conceptual structures. To facilitate their discovery, interoperability, actualization and reuse, it is essential to annotate them with rich, standardized metadata, such as domain coverage, pedagogical objectives, target learner groups, and technical specifications, to enable effective search and support integration within educational systems. Other components, such as knowledge graphs, rules, learning analytics, and machine learning-based models also play an important role. In this research, a conceptual model of a heterogeneous educational ontology repository for storing and reusing ontologies, knowledge graphs, and other objects and tools needed for the development of knowledge bases for intelligent education systems is proposed. An OWL ontology modeling the needed metadata for the description of repository objects and supporting semantic search and recommendations to support the development of knowledge bases for intelligent educational systems is also developed. The proposed heterogeneous ontology repository can help in solving many of the challenges related to hallucinations, transparency, personalization, privacy, and pedagogical alignment that arise when integrating large language models into educational systems by proposing or recommending easy-to-use ontologies for the development of intelligent educational systems, integrating generative AI, symbolic AI, machine learning and statistical techniques. It also integrates LLMs to ensure effective and easy search, recommendation of stored objects, and ontology management. The proposed LLM-powered ontology extraction use case demonstrates an encouraging ontology metadata extraction quality (a precision of about 0.7 and a recall of about 0.9) combined with an ontology development strategy that is easy for education professionals to use. Full article

This article examines the emerging role of artificial intelligence in mental health contexts, with a particular focus on psychotherapy and the risks associated with deploying large language models (LLMs) in sensitive clinical domains. It aims to provide a broad review of current literature, highlighting key risks of general-purpose artificial intelligence (AI) systems, while also exploring the potential of clinically oriented LLMs for therapist training, supervision, and professional development. It discusses several key concerns, including AI-related psychosis, the development of parasocial attachments, and the growing number of crisis-related interactions users have with general-purpose AI models. These challenges raise important questions about the safety, reliability, and ethical management of AI systems when individuals seek support during periods of psychological crisis. Beyond identifying these risks, the article explores the potential of clinical LLMs specifically designed for mental health applications. In particular, AI can serve as a tool for therapists’ training, supervision, and professional development, offering simulated clinical scenarios, structured feedback, and support for reflective practice. The article concludes by outlining key directions for the responsible development of therapeutic AI. These include the importance of human oversight, the use of specialized and clinically informed training datasets, advances in model fine-tuning and safety alignment, and the establishment of clear professional guidelines and regulatory frameworks. Together, these developments may help ensure that AI technologies are integrated into mental healthcare in ways that prioritize safety, ethical practice, and the continued central role of human clinicians. Full article

As origami-inspired solutions become more mature in spacecraft structures and applications, new alternatives are arising for traditional designs, allowing for creative and innovative answers to common problems. In this work, we look into space telescopes, one of the most feasible applications for new tubular solutions, using origami structures to propose the design of a self-retractable baffle. An element needed for mitigating both in-field and out-of-field stray light and helping to improve the image quality of the optical system. This baffle is rethought as a tubular, origami-inspired structure, built over a Kresling origami pattern. This choice can be traced back to the properties such structure has to offer: bi-stability, packaging ratio and controllability. Thus, it is becoming a promising alternative to standard baffles and helping to reduce key factors in spacecraft design, such as weight and complexity of the optomechanical mechanism. To demonstrate its effectiveness in an optical system, the professional software ASAP (Advanced System Analysis Program) is utilised to assess the optical performance of the new baffle design. As a result, we verify the applicability of these patterns and, therefore, the whole structure from an optical point of view, confirming the interest of its application as a telescope baffle. This solution also allows moving and modifying the inclination, shape or size of the baffle, selecting the amount of screening and light incidence into the telescope in a controlled manner depending on the orbit and attitude of interest. Full article

As generative artificial intelligence (GenAI) tools undergo rapid iteration, the complexity and heterogeneity of teachers’ technology practices in authentic instructional contexts warrant closer empirical scrutiny. Focusing on a public middle school designated as an AI demonstration site in eastern China, this study drew on 17 months of fieldwork that combined critical incident interviews, participant observation, and artifact collection. Systematic thematic analysis yielded four distinct practice types: Implicit Empowerment, Ritualized Enhancement, Transformative Exploration, and Prudent Distancing. The differentiation among these types was traced to the interplay of four dimensions: professional agency, technological cognition, organizational governance, and field culture. Specifically, the professional agency dimension encompasses trade-offs in labor intensity, preservation of professional authority, and continuity of pedagogical habitus; the technological cognition dimension manifests as misalignment of technological empowerment, concerns over output hallucinations, and the narrowing of dialogic value; the organizational governance dimension includes evaluation system orientation, excessive resource consolidation, and a lack of tolerance for innovation failure; and the field culture dimension involves peer practice modeling, team cultural atmosphere, and stakeholder demands. Together, these factors help explain the diversity of teachers’ technology adoption behaviors and offer an empirically grounded framework for understanding the micro-level processes of AI integration into classroom teaching. Full article

Entrepreneurship is recognised globally as the vehicle for economic development and poverty eradication, yet in developing economies, it is not receiving the support it deserves. Based on the institutional framework, this study explores its role in fostering the development of an entrepreneurial mindset in Masvingo Province, Zimbabwe. Being grounded in the interpretivist research philosophy and following an inductive qualitative research design, the study adopted a case study strategy. Data were collected through in- depth interviews with 12 participants, purposively selected from industry leaders and entrepreneurs. Thematic analysis was used to inductively generate contextual insights from the interaction between the regulatory, socio-economic, and cultural pillars of the institutional framework and individual capabilities. The findings show that entrepreneurship development in Masvingo Province, Zimbabwe, is influenced to a greater extent by the institutional framework, which is characterised by economic volatility, infrastructure gaps, and evolving regulatory demands. The formal institutional framework was noted to confer legitimacy while, at the same time, imposing obligations on institutions; informal institutional frameworks rooted in communal values, social capital, and professional bodies helped fill gaps in the formal framework. The study also demonstrates that entrepreneurial mindset development is an integrated output of continuous learning, strategic networking, and individual capability. In reinforcing the normative dimensions of institutional theory, it was noted that entrepreneurs do not only have profit-maximisation goals but also long-term sustainability and survival targets. The study contributes to scarce empirical research on the nexus between institutional framework and entrepreneurship development in emerging economies. The findings reinforce the need for an integrated approach that streamlines the regulatory process, strengthens infrastructure, supports capacity building, and recognises the role of the informal institutional network in enhancing entrepreneurship development. Even though the qualitative, cross-sectional design limits the generalizability of the study’s findings, the study offers insights into fostering entrepreneurship development in emerging markets. Full article

Disinformation is a global challenge that affects areas such as politics, health, economics, and science and is spread rapidly by social media (SM), suggesting the necessity of advancing educational proposals to strengthen critical thinking (CT) and digital literacy (DL). This quantitative, non-experimental, descriptive study identified the self-perception that master’s students (n = 72; at three Spanish universities; October 2024–March 2025) have regarding their DL, along with their CT, in post-truth and fake news settings. A self-administered online questionnaire (53 items) was conducted, covering aspects such as the responsible use of information and platforms, algorithmic perceptions, actions taken to verify this information, and concepts of CT, post-truth, and fake news. The results show that Instagram (97%) and WhatsApp (96%) predominated, with a notable proportion of users (86%) reporting that algorithms influenced them ‘highly’ or ‘moderately’. Despite being aware of disinformation they find on social media (65%) as well as its close link to hate speech (90% who ‘strongly’ or ‘somewhat’ agreed), this knowledge does not fully translate into taking measures to counter it. In fact 61% of respondents report sharing news on at least some occasions, while only 25% are able to identify a professional fact-checking organization. In conclusion, these findings suggest the merit of assessing the prevalence of skills such as Critical Thinking (CT) and strategies like fact-checking among students in other postgraduate education systems. Such assessments could inform the potential promotion of media and digital literacy as cross-curricular skills in education. This approach would help bridge the gap between theoretical knowledge and the active verification needed to counter disinformation. Full article

Background: Minimally invasive interventional radiology (IR) offers effective, uterus-preserving treatments for several gynecologic and obstetric conditions such as uterine fibroids, adenomyosis and postpartum hemorrhage. Despite their efficacy, these methods remain underused, partly to limited awareness among clinicians and patients. Large language models (LLMs) may help bridge this gap by providing accessible, reliable information. Objective: To evaluate how current LLMs address knowledge gaps and promote awareness of minimally invasive IR methods in gynecology and obstetrics. Methods: A structured ten-question instrument was used to query three publicly available LLMs (OpenEvidence, ChatGPT, and Google Gemini). Responses were analyzed for accuracy, completeness, safety considerations, and patient-centered communication. Results: All three models accurately identified a range of medical, minimally invasive, and surgical treatments for uterine fibroids, adenomyosis, and postpartum hemorrhage, with OpenEvidence and ChatGPT providing more detailed and clinically nuanced responses. OpenEvidence achieved the highest scores overall, closely followed by ChatGPT, while Google Gemini scored lower, particularly in completeness and patient-centered communication. In more complex scenarios, performance differences became more pronounced, with OpenEvidence again leading, ChatGPT performing strongly, and Google Gemini lagging behind. Overall, OpenEvidence and ChatGPT demonstrated higher accuracy, completeness, and safety considerations, whereas Google Gemini showed comparatively weaker and less consistent performance. Conclusions: LLMs may endorse the promotion of minimally invasive IR methods in gynecology and obstetrics, but their outputs vary considerably in quality. Ongoing refinement and integration of evidence-based sources are essential before routine use in clinical practice. Therefore, effective collaboration between artificial intelligence (AI) developers and medical professionals is essential to harness this technology’s full potential. Full article

Background: Sexual Assault Care Centres (SACCs) in Belgium provide integrated medical and psychological care, a forensic examination and the option to report to the police to victims of sexual assault (SA). Understanding victims’ acceptability of these services is essential for improving SACC’s effectiveness and informing policy. Methods: In-depth interviews were conducted with 19 victims and 14 support persons to explore victims’ experiences with SACCs. The victims represented diverse characteristics (gender, age, SACC site and police reporting status). Data were analysed using thematic framework analysis, guided by Sekhon’s “Theoretical Framework of Acceptability”. Results: Participants viewed SACCs as a highly acceptable integrated model of specialised care for victims of recent SA. They expressed strong appreciation for the care provided at the SACC and its set-up (affective attitude), and they identified key professional qualities of SACC professionals (ethicality). Participants demonstrated good understanding of the functioning of the SACCs (intervention coherence). The model was perceived as effective in providing medical care, mental health support, and facilitating police reporting, though gaps were noted in linking victims with other actors in the criminal justice system (perceived effectiveness). Organisational strengths included the holistic, long-term, proactive, affordable and accessible nature of the care offered (perceived effectiveness, burden and opportunity cost). Victims faced challenges in linking to, engaging with and remaining in care due to distress post-SA, with support persons playing a crucial role in helping them navigate these challenges (self-efficacy). Conclusions: The study highlights the acceptability of an integrated, multidisciplinary approach to specialised SA care. Key elements include embedded psychological support, the option for forensic examination without mandatory reporting, and the possibility of police reporting at the SACC. These findings may inform the development of specialised SA services in other settings. Full article

The incorporation of digital technologies has transformed Social Work, generating new demands in terms of professional competencies. It is worth questioning whether, in contexts as sensitive as social services, the mere acquisition of instrumental mastery of these tools is sufficient to ensure safe practice. Considering that the level of proficiency with these tools is influenced by age, the aim of this study is to conduct a comparative analysis of the digital competence levels of social work professionals and students in order to contrast the skills and shortcomings of both groups. To achieve this, a quantitative methodological design was employed using questionnaires based on the European DigComp 2.2 framework. The sample included 451 professionals from Spain and 171 students from the University of Huelva, whose data were processed using statistical software (SPSS 27). The results show that students display a higher overall level of digital competence, particularly in the creation of digital content and the use of artificial intelligence tools. Professionals, on the other hand, demonstrate stronger competencies in digital security and data literacy. The findings reveal a clear complementarity between the two groups, highlighting an opportunity for mutual feedback and learning that can help combine technological efficiency with ethical responsibility and respect for human rights. Full article

Background: Professional identity formation (PIF) and wellbeing are increasingly being recognised in postgraduate Family Medicine (FM) education. Role models are central to both, yet traditional learning activities often struggle to implement them effectively. Podcasts offer a flexible medium that may support these goals. This study examines the potential of postgraduate medical education (PGME) podcasts, such as the European Young Family Doctor’s Movement (EYFDM) podcast, to promote PIF and wellbeing. Methods: This mixed-methods study analyses podcast use, role modelling effects, and PIF among young general practitioners (GPs). In 2024, 57 participants, including students, FM trainees, and specialists, completed an online questionnaire with quantitative and qualitative items. Descriptive and analytical statistics were combined with qualitative content analysis (Kuckartz). Sentiment analysis was conducted using artificial intelligence, and triangulation enhanced credibility. Results: Within the trainees and specialists of the study population, most participants (70%; 32/46 SPs) reported regularly using podcasts for PGME, and particularly young female GPs in Western Europe. In our study population, 90% (27/30 SPs) agreed that the podcasts broadened their perspective on professional opportunities in FM. Many participants reported reflections on potential career pathways and PIF. Exposure to role models significantly increased motivation to work in FM (χ² (1) = 10.7, p < 0.001). Conclusions: Podcasts may help address gaps in affective competency training, including wellbeing and PIF, while integrating easily into busy routines. Findings suggest a positive influence on career attitudes, with role modelling supporting PIF and motivation in FM. Full article

Background: Fundamental movement skills (FMS) underpin lifelong physical activity (PA) and health, yet many children are failing to meet age-appropriate standards. Caregivers hold a critical influence over children’s motor development, but little is known about what helps or hinders family participation, including messaging. This study explored the determinants of family FMS engagement in the United Kingdom (UK) during early childhood, addressing unexplored gaps in how guidance reaches families and the role of grandparents in supporting children’s motor development. Methods: Twenty-three semi-structured interviews were conducted with 15 caregivers and 8 educators, including 4 grandparents and 2 family hub practitioners who offered original insights. Eleven children aged 3–5 years completed a flexible draw-and-tell task, enabling inclusion of rarely represented 3-year-olds. Thematic analysis was deployed. Results: Families and outdoor spaces were pivotal to children’s movement opportunities. However, awareness and understanding of FMS and UK PA guidance were poor, even among educators, disrupting dissemination of information to families. Greater emphasis on PA and FMS concepts within professional development, alongside clearer signposting to resources, more visible public-facing campaigns, and digital formats, could improve how families receive these messages. Tensions emerged between parents’ concerns about grandparents’ physical capability and grandparents’ belief that they could adapt to support children’s development. Unexpectedly, no children drew technology despite screen time frequently displacing active play, hinting at its normalisation and regulatory role in children’s lives. Conclusions: To enhance family understanding, value, and participation in FMS, UK policy must evolve to become more visible, relatable, and responsive to diverse family needs. Full article

(1) Background: The non-consensual dissemination of intimate images constitutes a severe form of online gender-based violence (OGBV) that inflicts profound harm on victims’ sexual privacy, psychological well-being, and social functioning. Taiwan enacted comprehensive legislative reforms in 2023—commonly referred to as the “Four Acts on Sexual Violence Prevention”—to strengthen criminal responses and expand victim protection mechanisms. However, the extent to which these reforms have translated into effective frontline practice remains insufficiently examined. (2) Methods: This qualitative study employed reflexive thematic analysis to investigate frontline professionals’ experiences with enforcing intimate image offence legislation and delivering victim support services. Semi-structured, in-depth interviews were conducted with 20 practitioners, including social workers, police officers, prosecutors, and lawyers. (3) Results: Three superordinate themes emerged across macro, meso, and micro structural levels. At the macro level, limited public awareness and persistent victim-blaming attitudes undermine prevention, help-seeking, and reporting. At the meso level, legislative fragmentation, challenges in preserving and analysing digital evidence, and inter-agency coordination gaps constrain enforcement capacity. At the micro level, procedural delays, risks of secondary victimization, and perceived inadequacies in compensation and support mechanisms weaken victims’ trust in institutional responses. (4) Conclusions: While Taiwan’s legislative reforms represent a significant institutional advancement, legal reform alone is insufficient to address digital sexual violence effectively. Comprehensive responses require integrated public education initiatives, enhanced inter-agency coordination, strengthened digital investigation capacity, and trauma-informed victim protection practices across all structural levels. In particular, the findings underscore an urgent public health need to establish rapid digital evidence preservation and takedown mechanisms to limit the proliferation of non-consensual sexual images and mitigate the associated mental health harms among victims. Full article

Despite being a biodiversity hotspot, the Republic of Seychelles faces a critical challenge with an estimated 90% of its food imported. This dependency exposes the country to global supply disruptions and climate-related risks, while pressure on protected ecosystems continues to rise. In response, the Erasmus+ Capacity Building Higher Education GreenTraINT project (Green Training INTernational Program for agriculture, livestock farming, and conservation), co-funded by the European Union (2024–2026), aims to strengthen local expertise in sustainable agriculture, livestock farming, and biodiversity conservation. Through a transnational partnership involving European and Seychellois universities and institutions, GreenTraINT is co-designing innovative higher education modules tailored to the island’s priorities in agriculture, livestock, and biodiversity conservation. This paper focuses on a detailed needs analysis conducted in early 2025 across a diverse group of 84 stakeholders, including students, educators, NGOs, and professionals. The findings reveal a strong demand for applied training in sustainable food systems and biodiversity conservation, blended teaching methods, and programs that bridge theory with hands-on skills. Inspired by other Erasmus+ projects such as NETCHEM and SPARKLE, GreenTraINT adopts a multi-stakeholder, needs-driven approach that aligns international academic expertise with local development goals. As a key milestone, a Summer School in 2026 will pilot the newly developed modules. In the long term, GreenTraINT seeks to leave a lasting legacy by integrating its curriculum into national education pathways, thereby contributing to food security and environmental resilience. With less than four years remaining to achieve the 2030 Agenda targets, the project positions higher education reform as a strategic accelerator for SDG implementation in small island developing states (SIDS). By linking curriculum innovation to measurable sustainability priorities, GreenTraINT helps narrow the SDG implementation gap in vulnerable island contexts. The project offers a model for international collaboration in higher education for sustainability in SIDS. Full article

Investigative interviewers play a crucial role in eliciting information from children; therefore, gathering the views and experiences of professionals helps deepen our understanding and guide areas for improvement. Twelve police officers and forensic interviewers, based in the United Kingdom and the United States, were semi-structure interviewed. A thematic analysis was used to analyse the data, leading to the identification of three main themes: challenges and limitations in interview process, strategies for enhancing interview quality and effective techniques for information gathering. Participants noted limited flexibility with respect to minors, technology-related gaps and the significance of third-party disruptions. They called for better training and interview environments with adaptations to fit to children’s variable abilities, sustained rapport and supportive cues. The findings strengthen our understanding of child investigative interviews by providing updated evidence from the professionals who work directly with them. Drawing on the study’s findings, hypotheses were formulated to assess the effectiveness of interview techniques, update guidelines and ultimately improve child protection through more efficient pursuit of justice. Full article

There is a mental health crisis among young people in Canada, suggesting a need for evidence-based, community-engaged strategies to strengthen the youth mental health workforce. This study explores the learning and professional development outcomes of participation in the National Youth Council (NYC) of Kids Help Phone (KHP), Canada’s only “national 24/7, free, confidential, and multilingual e-mental health service, blending technology with the empathy of clinical experts”. We surveyed and conducted focus groups with current and former NYC members to identify professional development outcomes associated with council participation. The results suggest that involvement in the NYC fostered professional skill-building, increased interest in mental health and youth-facing careers, improved civic engagement, and created a sense of empowerment and belonging. Barriers to full participation in youth councils included imposter syndrome, limited regional access to in-person activities, and limited representation from certain geographic areas (e.g., the Territories). These findings highlight the potential of youth advisory councils to support youth professional development, while emphasizing the importance of integrating structured mentorship and equity-focused practices into youth engagement models. NYCs may therefore serve as promising venues for strengthening the future youth mental health workforce. Full article