Search Results (2,615)

Digital technologies significantly influence architectural heritage perception, preservation, and presentation, particularly in reconstructing fragmented archaeological sites. This study explores innovative applications of algorithmic design, Heritage Building Information Modelling (HBIM), and interactive visualisation through the virtual reconstruction of the Roman Forum Transitorium in Musti, Tunisia—a complex historical site influenced by Numidian, Roman, and Byzantine cultures. The research integrates algorithmic modelling, digital surveying, and cloud-based collaboration, employing software tools such as Archicad, Rhino, Grasshopper, and Virtual Tour platforms. Central to this approach is a parametric, hypothesis-driven methodology, enabling the iterative exploration of multiple reconstruction scenarios informed by historical sources, architectural analyses, and scanned archaeological fragments. Immersive technologies enhance user engagement, allowing for the transparent exploration and interpretation of the site’s historical uncertainties. The results highlight the effectiveness of algorithmic methods in managing interpretative variability, offering flexible, academically rigorous, and publicly accessible virtual reconstructions. By emphasising the hypothetical nature of digital reconstructions and interactive visualisations, this research contributes meaningfully to digital archaeology, demonstrating how innovative algorithmic approaches can bridge academic scholarship and broader heritage preservation practices. Full article

Implementing formative assessment strategies represents a challenge for higher education institutions. As they are frequently adopted only to support summative assessment and final grading, this study aims to investigate the most effective formative assessment strategies for higher education. It emphasizes the features of peer- and group-assessment, underlining strengths and weaknesses of both formative assessment strategies. Additionally, this study investigates the relationship between metacognitive and evaluative formative assessment aspects to support students’ learning processes and highlights the connection between formative and summative approaches. In the academic year 2023–2024, 240 higher education students were involved in a four-stage mixed-method study, alternating peer- and group-assessment strategies split in two steps focused on, respectively, metacognitive and evaluative aspects. Qualitative and quantitative data were collected after each stage. The findings revealed that students preferred the group-assessment and that the metacognitive formative assessment helped them improve their learning and prepare for the final test with summative assessment. Regarding policy implications, on the basis of this study, higher education institutions should improve instructor capacity to integrate formative assessment activities in their courses. Full article

China’s retraction crisis has raised concerns about research integrity and accountability within its scientific community and beyond. To address this issue, we proposed in an earlier publication that Chinese research funders incorporate retraction records into the evaluation of research funding applications by establishing a retraction-based review system. This review system would debar researchers with retraction records from applying for funding for a specified period. However, our earlier proposal lacked practical guidance on how to operationalize such a review system. In this article, we expand on our proposal by fleshing out the proposed ten debarment determinants and offering a framework for quantifying the duration of funding ineligibility. Additionally, we outline the critical steps for implementing the retraction-based review system, address the major challenges to its effective and sustainable adoption, and propose viable solutions to these challenges. Finally, we discuss the benefits of implementing the review system, emphasizing its potential to strengthen research integrity and foster a culture of accountability in the Chinese academic community. Full article

Self-medication is increasingly prevalent among healthcare students, raising concerns about the adequacy of current medical education in promoting safe medication practices. This study aimed to assess the frequency, motivations, and perceptions of self-medication among medical and pharmacy students and to identify educational gaps. A cross-sectional survey was conducted using a structured, anonymous questionnaire distributed to medical and pharmacy students at a single academic institution. The questionnaire assessed self-medication frequency, substances used, motivations, perceived risks, confidence in knowledge, sources of information, and attitudes toward curriculum improvements. Over 50% of participants reported practicing self-medication at least once a month. The most commonly used substances were analgesics and dietary supplements. Main motivations included recognition of symptoms, confidence in personal knowledge, and avoidance of waiting times. Despite receiving university instruction on self-medication risks, students continued to self-medicate, with many relying on the internet as a primary source of information. Only 8% felt very confident in counseling patients on self-medication. A majority (over 70%) expressed a strong interest in integrating dedicated educational modules into the curriculum. There is a clear need for improved, practice-oriented education on self-medication. Future interventions should focus on interdisciplinary teaching, digital literacy, and simulation-based training to foster safer medication practices. Full article

Drawing on Daniel Goleman’s leadership paradigm as well as critically engaging with the Authentic Leadership and Complexity Leadership theories, this article explores how leadership drives change management, specifically in the context of advancing organizational sustainability. While change management has been widely examined in areas such as technology adoption and restructuring, there is less clarity on how to lead change that directly supports sustainability goals. Therefore, the current research addresses the gap by focusing on leadership strategies that effectively embed sustainability into leadership practices. Using a theory triangulation method, we built an analytic framework that integrates theoretical and empirical perspectives to better understand how sustainability-embedded leadership can support change management for the best possible outcome. Research data are gathered from respected academic sources including ProQuest, JSTOR, and Google Scholar. Research findings reveal that leaders who tailor their leadership to specific situations are more effective at advancing organizational sustainability than those who rely on a single type of leadership. We also create a contrast table to demonstrate the characteristics of eight leadership types, with a focus on how each can contribute to organizational performance and sustainability. The table serves as a managerial guide for aligning leadership strategies with sustainability objectives. The current research contributes to the intersection of leadership and sustainability by identifying how different leadership types affect an organization’s ability to adopt and implement sustainable practices. By clarifying the strengths and limitations of each approach, the current research enhances the understanding of how situation-oriented leadership can support sustainability goals. The findings also have practical implications for how organizations design and implement change management policies aimed at long-term environmental, social, and economic sustainability. Limitations and future research directions are discussed. Full article

Artificial Intelligence (AI) tools have transformed academic writing and literacy development in higher education. Students can now receive instant feedback on grammar, coherence, style, and argumentation using AI-powered writing assistants, like Grammarly, ChatGPT, and QuillBot. Moreover, these writing assistants can quickly produce completed essays and papers, leaving little else for the student to do aside from reading and perhaps editing the content. Many teachers are concerned that this erodes critical thinking skills and undermines ethical considerations since students are not performing the work themselves. This study addresses this concern by synthesizing and evaluating peer-reviewed literature on the effectiveness of AI in supporting writing pedagogy. Studies were selected based on their relevance and scholarly merit, following the Scale for the Assessment of Narrative Review Articles (SANRA) guidelines to ensure methodological rigor and quality. The findings reveal that although AI tools can be detrimental to the development of writing skills, they can foster self-directed learning and improvement when carefully integrated into coursework. They can facilitate enhanced writing fluency, offer personalized tutoring, and reduce the cognitive load of drafting and revising. This study also compares AI-assisted and traditional writing approaches and discusses best practices for integrating AI tools into curricula while preserving academic integrity and creativity in student writing. Full article

Digital portfolios have become an essential assessment tool in project-based and student-centered learning environments. Unfortunately, students exert minimal effort in creating digital portfolios because they find the writing component unchallenging. This issue is concerning since existing research predominantly focuses on the use of pre-existing platforms for building digital portfolios. With this concern, there is an opportunity to explore more challenging approaches to digital portfolio creation. Consequently, this study employs a project-based learning (PBL) approach within a website design and development course, where 176 undergraduate students completed weekly coding tasks culminating in a self-coded digital portfolio. Using a one-group posttest-only research design, data were collected through a structured questionnaire that included demographic items and validated scales measuring learning effectiveness and ownership of learning. The survey was administered electronically after students submitted their digital portfolio projects. The results reveal that device ownership shows only weak associations with students’ perceptions, while internet connectivity and self-reported academic performance demonstrate stronger relationships with engagement and ownership of learning. Additionally, prior experience with digital portfolios positively influences students’ engagement, motivation, and ownership of learning. Implications of these findings are discussed for supporting the integration of digital portfolios into technical disciplines. Overall, this study contributes to the literature on PBL methodology, expands our understanding of digital portfolio integration, and underscores the significance of student-centered pedagogies. Full article

Blockchain and smart contracts have transformed industries by automating complex processes and transactions. However, this innovation has introduced significant security concerns, potentially leading to loss of financial assets and data integrity. The focus of this research is to address these challenges by developing a tool that can enable developers and testers to detect vulnerabilities in smart contracts in an efficient and reliable way. The research contributions include an analysis of existing literature on smart contract security, along with the design and implementation of a lightweight vulnerability detection tool called LightCross. This tool runs two well-known detectors, Slither and Mythril, to analyse smart contracts. Experimental analysis was conducted using the SmartBugs curated dataset, which contains 143 vulnerable smart contracts with a total of 206 vulnerabilities. The results showed that LightCross achieves the same detection rate as SmartBugs when using the same backend detectors (Slither and Mythril) while eliminating SmartBugs’ need for a separate Docker container for each detector. Mythril detects 53% and Slither 48% of the vulnerabilities in the SmartBugs curated dataset. Furthermore, an assessment of the execution time across various vulnerability categories revealed that LightCross performs comparably to SmartBugs when using the Mythril detector, while LightCross is significantly faster when using the Slither detector. Finally, to enhance user-friendliness and relevance, LightCross presents the verification results based on OpenSCV, a state-of-the-art academic classification of smart contract vulnerabilities, aligned with the industry-standard CWE and offering improvements over the unmaintained SWC taxonomy. Full article

As sustainability and Corporate Social Responsibility gained increasing importance in agriculture, several impact assessment methodologies have been proposed. Social Return on Investment (SROI), a methodology used for understanding, measuring, and reporting the social, economic, and environmental value created by an organization, emerged as a promising approach to quantify and monetize social and environmental impacts. However, research on SROI application within the wine industry remains limited, despite the sector’s global relevance and unique economic, social, and cultural dimensions. This study addresses this gap by evaluating the potential and limitations of SROI in assessing the social impact of a wine cellar’s products, services, and activities on its stakeholders. Indeed, we find confirmation that, as in other sectors, this methodology can support sustainability reporting and strategic decision-making. Applying the SROI methodology, stakeholder outcomes were analyzed, and the results indicate that for every EUR 1 invested, approximately EUR 1.44 of social value is generated, demonstrating SROI’s effectiveness in capturing social contributions beyond financial metrics. This study highlights SROI’s advantages, while also acknowledging challenges. Findings suggest that, despite some limitations, SROI can enhance wineries’ sustainability strategies and offers a robust framework to guide wineries—and potentially other agricultural sectors—toward socially responsible and sustainable practices. Future research should focus on developing industry-specific proxies and integrating SROI with other sustainability assessment tools, particularly in support of ESG reporting. This study contributes to academic discourse on impact evaluation methodologies and provides practical implications that aim to balance economic performance with social responsibility. Full article

The integration of digital technology into education has significantly shifted traditional teaching methods toward more interactive and student-centered learning. This literature review investigates the use of Powtoon, a web-based animation platform, as a creative learning medium in elementary thematic education. The study aims to explore how Powtoon enhances student motivation, engagement, and academic outcomes through interactive visuals and storytelling. A review of previous studies reveals that Powtoon is effective across various subjects, including science, mathematics, language, and social studies, improving student focus, knowledge retention, and learning enjoyment. The research method involves analyzing empirical studies that report the educational impact of Powtoon in classroom settings. Results show that Powtoon promotes active learning, supports the development of 21st-century skills, and bridges the gap between available technology and its implementation in elementary schools, where traditional teaching still prevails. The novelty of this review lies in its focus on Powtoon’s role in cross-disciplinary thematic instruction, offering new insights beyond subject-specific usage. The study concludes that Powtoon holds strong potential as a pedagogical tool and recommends its broader adoption to foster creative, engaging, and technology-integrated learning environments in elementary education. Full article

This study introduces and evaluates an innovative methodology for assessing constructability in the maintenance of university buildings, aiming to improve the quality of academic infrastructure. The proposed approach is based on four key criteria: functionality, usage, investment, and curricular planning. These criteria are derived from the principles established by the Chilean Construction Industry Council (CCI Chile, 2024) and were applied in a case study at Ricardo Palma University. A quasi-experimental research design was implemented in two physical spaces within the Faculty of Architecture and Urbanism, one of which underwent a maintenance intervention while the other remained unaltered. Data was collected through expert-validated instruments, administered to senior students and technical staff before and after the intervention. The results revealed significant improvements, with satisfaction levels increasing from 44% to 56% among students and a 10% rise in positive technical evaluations (p < 0.005) which reflected an improvement in the perceived quality of the academic environment, especially in areas related to maintenance planning, execution, control, safety, and user comfort. This study concludes that integrating constructability criteria into the maintenance phase can optimize infrastructure management, enhancing sustainability, operational efficiency, and user satisfaction. The developed methodology offers a practical and replicable tool for other academic units and universities, supporting continuous improvement and promoting evidence-based decision-making in the management of educational facilities. Full article

Background/Objectives: Preventive oral health education plays a key role in preparing future healthcare professionals to promote and maintain good oral hygiene. Individually Trained Oral Prophylaxis (iTOP) is a structured, personalized educational program that emphasizes correct brushing techniques and interdental cleaning. This study aimed to evaluate the long-term effectiveness of a single-session iTOP intervention on clinical oral health outcomes among medical and dental students. Methods: A 2-year prospective cohort study included 82 first- and fourth-year medical and dental students at the University of Mostar, Bosnia and Herzegovina. The researchers randomly assigned participants to an iTOP intervention group or a control group. The primary analysis used multivariable linear mixed-effects models for repeated measures, adjusted for study program, academic year, smoking status, and baseline oral-hygiene habits, with effect sizes reported alongside 95% confidence intervals. Clinical periodontal parameters—plaque index, bleeding on probing, and probing depth—were assessed at baseline, three months, and two years. All participants received professional cleaning and oral hygiene kits. Only the intervention group received personalized iTOP training, consisting of a single session with brief reinforcement at the 3-month follow-up. This study was registered at ClinicalTrials.gov (NCT07085013). Results: Seventy-six students completed the follow-up. The iTOP group had significantly lower plaque index and bleeding scores at both follow-up points (p < 0.001) compared to the control group. Baseline differences were observed between subgroups (medical vs. dental; younger vs. older students), but these diminished over time. At the 2-year follow-up, only the plaque index remained significantly improved, while other clinical parameters returned to values comparable to baseline. Conclusions: The iTOP program resulted in significant short-term improvements in oral health among medical and dental students. For sustained long-term outcomes, iTOP or similar structured oral health education programs should be integrated into medical and dental curricula. Enhancing oral health awareness among healthcare providers may ultimately contribute to improved public oral health outcomes. Given the single-center design and the single-session nature of the intervention, the results should be interpreted with caution. Full article

The Pacific Alliance has established itself as one of the most dynamic regional economic integration initiatives, standing out for its pragmatic and consensual approach to trade, capital and people liberalisation. However, between 2020 and 2025, the bloc faced both opportunities and challenges arising from the international situation, including global tensions, internal political crises and the need for technological adaptation. Against this backdrop, this study aims to conduct a systematic review of the scientific literature published between 2020 and 2025 on the Pacific Alliance, identifying the predominant theoretical approaches and the main findings on the integration process. This systematic review followed the PRISMA methodology, which contributed fundamentally to this research by providing a structured, transparent and rigorous framework for a deeper and more informed understanding of the integration process. The results show that, despite some progress, structural limitations persist, such as asymmetries between countries, institutional obstacles and superficial integration in economic and social aspects, as well as fragmentation in academic production and little incorporation of geopolitical perspectives. This study contributes to a critical understanding of the current state and future challenges of the Pacific Alliance, offering inputs for the formulation of public policies and future research in the field of Latin American integration. Full article

This study examines how university students perceive AI-powered tools for mediation in higher education, with a focus on the influence of communication richness and social presence on trust and the intention to use such systems. Although AI is increasingly used in educational settings, its role in handling academic mediation, where ethical sensitivity, empathy, and trust are essential, remains underexplored. To fill this gap, this study presents a model that integrates Media Richness Theory, Social Presence Theory, Technology Acceptance Models, and Trust Theory, incorporating digital fluency and conflict ambiguity as key moderating elements. Using a convergent mixed-methods design, the research involves 287 students from a variety of academic institutions. The quantitative findings indicate that students’ willingness to adopt AI mediation tools is significantly influenced by automation, efficiency, and trust, while their perceptions are shaped by how clearly the conflict is understood and by students’ digital skills. The qualitative insights reveal concerns about emotional responsiveness, transparency, and institutional capacity. According to the results, user trust rooted in perceived presence, fairness, and emotional connection is a central factor in terms of AI acceptance, and emotionally aware, transparent, algorithmic and context-sensitive design strategies should be a system-level priority for institutions when integrating AI mediation tools into academic environments. Full article

Background/Objectives: Dementia is a leading cause of cognitive decline, with significant challenges for early detection and timely intervention. The lack of effective, user-centred technologies further limits clinical response, particularly in underserved areas. This study aimed to develop and describe a co-design process for creating a Diagnostic and Statistical Manual of Mental Disorders (DSM-5)-compliant, AI-powered Smart Assistant (SmartApp) to monitor neurocognitive decline, while ensuring accessibility, clinical relevance, and responsible AI integration. Methods: A co-design framework was applied using a novel combination of Agile principles and the Double Diamond Model (DDM). More than twenty iterative Scrum sprints were conducted, involving key stakeholders such as clinicians (psychiatrist, psychologist, physician), designers, students, and academic researchers. Prototype testing and design workshops were organised to gather structured feedback. Feedback was systematically incorporated into subsequent iterations to refine functionality, usability, and clinical applicability. Results: The iterative process resulted in a SmartApp that integrates a DSM-5-based screening tool with 24 items across key cognitive domains. Key features include longitudinal tracking of cognitive performance, comparative visual graphs, predictive analytics using a regression-based machine learning module, and adaptive user interfaces. Workshop participants reported high satisfaction with features such as simplified navigation, notification reminders, and clinician-focused reporting modules. Conclusions: The findings suggest that combining co-design methods with Agile/DDM frameworks provides an effective pathway for developing AI-powered clinical tools as per responsible AI standards. The SmartApp offers a clinically relevant, user-friendly platform for dementia screening and monitoring, with potential to support vulnerable populations through scalable, responsible digital health solutions. Full article