Search Results (47)

This paper examines the intersection between Christian theological principles and contemporary cybersecurity challenges, with a focus on the specific vulnerabilities and responsibilities of faith-based organizations. Recognizing that digital threats emerge not only from technological weaknesses but also from human motives and ethical failings, this study introduces a Biblically Framed Cybersecurity (BFCy) Model that integrates scriptural ethics with established security practices. Through a narrative literature review and comparative analysis, the research synthesizes Christian concepts, such as stewardship, vigilance, and integrity, with technical standards (including the CIS Controls v8, NIST CSF 2.0, and ISO 27001:2022), mapping biblical narratives to contemporary risks like social engineering, insider threats, and identity theft. The findings underscore that robust cybersecurity requires more than technical solutions; it also demands a culture of moral accountability and spiritual awareness. Practical recommendations, including tables linking biblical values to operational controls, highlight actionable steps for church leaders and faith-based organizations. This study concludes that effective cybersecurity in these contexts is best achieved by aligning technical measures with enduring ethical and spiritual commitments, offering a model that may inform religious and broader organizational approaches to digital risk and resilience. Full article

This study examines the role of algorithms—particularly artificial intelligence—in scientific research processes and how automation intersects with expert knowledge and the autonomy of the researcher. Drawing on 25 qualitative interviews with Italian university scholars in the social sciences and humanities, the research explores how academics either incorporate or resist AI at various stages in their scientific work, the strategies they employ to manage the relationship between professional expertise and algorithmic systems and the forms of trust, caution or scepticism that characterise these interactions. The findings reveal diverse patterns of use, non-use and critical engagement, ranging from instrumental and efficiency-oriented adoption to dialogical experimentation and from identity-based resistance to systemic reflexivity regarding the institutional implications of AI. The study also highlights the need to thoroughly examine the characteristics of disciplinary scientific cultures, while highlighting the importance of promoting algorithmic awareness to support scientific rigour in the digital age. Full article

Since 2018, Al-Ahsa Oasis has become a UNESCO site because of the integration of the natural, agricultural, and cultural elements. The objective of this research is to investigate land cover changes (LCC) in this region and the key sustainability factors that influence their likelihood of occurrence between 2000 and 2020. A two-stage methodology was employed, first estimating the LCC level using USA-ArcGIS 10.3 and USA-ENVI 5.4 on digital data gathered from satellites visualizations (LANDSAT). Second, it evaluates the LCC occurrence variables using a binary logistic model (BLM) based on data from 105 surveyed farmers. The major findings reveal a decline in the vegetation area by 324.35 ha and in the desert area by 1625.81 ha. Meanwhile, the areas of bare ground and the city have increased by 1389.79 ha and 560.37 ha, respectively. According to the BLM findings, climate change, elderly farmers (more than 50 years), and small holding size raised the likelihood of LCC occurrence, with an odds ratio superior to one. Meanwhile, it was negatively impacted by the use of modern irrigation methods (drip and sprinkler), technology, and the availability of scavenger manpower in the oasis. Their odds ratios are inferior to one. The urban sprawl had a non-significant negative effect on the LCC. To preserve the identity of the zone as a sustainable agricultural and UNESCO heritage site, the researchers advocate for awareness and extension efforts aimed at the elderly to improve traditional production practices, enhance plant resilience, increase farm sizes for better earnings, and combat climate change effects to protect native plant species. Full article

The contemporary landscape is characterised by overlapping values and pressures, where ecosystem services and cultural spaces are used by diverse categories of users. In fragile contexts such as the Phlegraean Fields in Italy, the exponential growth of mass tourism has intensified the anthropogenic impacts, exacerbated by limited landscape awareness among local communities. Thus, walkability fosters direct exploration, while experiential transects provide a lens to read ecological, cultural, and perceptual layers of places. Together with digital storytelling, these approaches converge in a phygital approach that enriches physical experience without supplanting it. The study covered approximately 115 km of routes across five municipalities, combining road audits, an 11-item survey, participatory mapping, and ArcGIS StoryMaps. Results showed a structurally complex and functionally fragile mobility system: sidewalks are discontinuous, lighting insufficient, less than one quarter of the network is fully pedestrian, and cycling facilities are almost absent. At the same time, digital layers diversified routes and supported situated learning. By integrating geo-spatial analysis and phygital tools, the research demonstrates a replicable strategy to enhance the awareness and sustainable enjoyment of complex landscapes. The present research is part of the PNRR project Changes ‘PE5Changes_Spoke1-WP4-Historical Landscapes Traditions and Cultural Identities’. Full article

This study examined the complex interplay of demographic characteristics, behavioral patterns, and technological factors that contribute to digital fraud victimization within the context of a developing economy, focusing specifically on Thailand. Utilizing data collected from 1200 respondents and applying binary logistic regression analysis, the research identified key predictors of fraud exposure, including age, income, student status, use of portable devices, and social media engagement. A paradoxical finding emerged: stronger perceived digital security was associated with higher fraud risk, indicating that overconfidence in platform safeguards may unintentionally increase vulnerability. Interestingly, users’ perceptions of digital security—such as confidence in identity verification and password protocols—were positively associated with fraud victimization, indicating potential cognitive biases and overconfidence in digital environments. The findings revealed a high prevalence of fraud experiences among participants, highlighting the gap between perceived and actual digital safety. These results emphasized the urgent need for user-centered fraud prevention measures, enhanced digital literacy, and targeted public awareness campaigns. The study contributes to the broader understanding of cybersecurity challenges in emerging markets and offers policy-relevant insights for strengthening digital financial resilience. Full article

Digital storytelling (DST) has emerged as a promising pedagogical approach in mathematics education, combining narrative and digital media to enhance conceptual understanding, engagement, and reflective practice. This systematic review synthesises recent research on how DST is conceptualised, implemented, and evaluated in mathematics education. Following PRISMA 2020 guidelines, four databases (ERIC, Scopus, HAL, Google Scholar) were searched in October 2025. Peer-reviewed studies (2015–2025) explicitly addressing DST in mathematics education were included. Screening and thematic synthesis were independently conducted by the two first authors to reduce bias. A total of 47 studies involving approximately 3000 participants across early childhood, school, and teacher education were included. DST was found to enhance mathematical reasoning, problem-solving, motivation, and self-efficacy, while supporting identity development and collaboration. For teachers, DST fostered reflective practice, emotional awareness, and technological–pedagogical–content integration. Challenges included limited preparation time, insufficient training, and unequal digital access, though emerging AI tools offered promising solutions for scalable DST creation. Evidence highlights DST’s cognitive, affective, and pedagogical benefits, though small-scale and short-term designs limit generalisability. Further longitudinal and cross-context studies are needed. Full article

This study examined the effectiveness of a STEM service-learning intervention in enhancing students’ digital skills, problem-solving confidence, STEM career interest, and awareness of the Sustainable Development Goals (SDGs 4 and 5), with attention to gender-related differences. The research addressed three questions: (1) Does participation in STEM service-learning improve students’ digital and problem-solving competencies? (2) Does it influence students’ STEM career interest and awareness of sustainability and gender equity? and (3) Do outcomes differ by gender? A mixed-methods design was employed, combining quantitative pre- and post-tests with qualitative interviews and reflective journals. Participants (N = 60, secondary students from Bucharest) completed validated scales measuring the five target constructs. Paired-samples t-tests showed significant gains across all domains: digital skills (d = 1.20), problem-solving confidence (d = 1.10), STEM career interest (d = 0.52), SDG awareness (d = 1.44), and gender equity beliefs (d = 0.89). MANOVA results confirmed a significant multivariate effect of time, F(3, 56) = 15.30, p < 0.001, η²_p = 0.45, and a Time × Gender interaction indicating that female students experienced greater improvement in digital skills. Correlation and regression analyses revealed strong associations between digital skills, problem-solving confidence, and SDG awareness, with service-learning participation emerging as a significant predictor of post-intervention confidence (β = 0.28, p = 0.008). Qualitative analysis highlighted themes of empowerment, collaboration, identity development, and social engagement, underscoring the transformative impact of linking STEM learning to community service. Overall, findings suggest that service-learning provides an effective, gender-inclusive model for developing digital and problem-solving competencies in STEM education. Full article

The digital transformation in the treatment of mental health and emotional disharmony requires artificial intelligence architectures that overcome the limitations of purely neural approaches, such as temporal inconsistency, opacity, and lack of theoretical foundations. Assuming the existence and use of generalist LLMs currently used in clinical settings and considering the appropriate limitations indicated by experts, this article aims to offer clinicians an alternative Neuro-symbolic-Psychological multi-agent architecture (NSPA-AI), which integrates archetypal symbolic reasoning with neurobiological modelling, based on our established framework of artificial neurotransmitters for the modelling and analysis of affective-emotional stimuli to enable interpretable AI-assisted psychological intervention. The system implements a hub-and-spoke topology that coordinates five specialized agents (symbolic, psychological, neurofunctional, decision fusion, learning) that process heterogeneous information via SPADE protocols. Seven archetypal constructs from Jungian psychology and narrative identity theory provide stable symbolic frameworks for longitudinal therapeutic consistency. An empirical study of 156 university students demonstrated significant improvements in depression (Cohen’s d = 1.03), stress (d = 0.89), and narrative identity integration (d = 0.75), which were maintained at a 12-week follow-up and superior to GPT-4 controls (d = 0.34). Neurofunctional correlations—downregulation of cortisol (r = 0.71 with stress reduction), increase in serotonin (r = −0.68 with depression improvement)—validated the neurobiological basis of the entropy-energy framework. Qualitative analysis revealed the following four mechanisms of improvement: symbolic emotional support (93%), increased self-awareness through neurotransmitter visualization (84%), non-judgmental AI interaction (98%), and archetypal narrative organization (87%). The results establish that neuro-symbolic architectures are viable alternatives to large language models for digital mental health, providing the interpretability and clinical validity essential for adoption in the healthcare sector. Full article

This systematic review synthesizes a decade of peer-reviewed research (2015–2025) examining the interplay of filter bubbles, echo chambers, and algorithmic bias in shaping youth engagement within social media. A total of 30 studies were analyzed, using the PRISMA 2020 framework, encompassing computational audits, simulation modeling, surveys, ethnographic accounts, and mixed-methods designs across diverse platforms, including Facebook, YouTube, Twitter/X, Instagram, TikTok, and Weibo. Results reveal three consistent patterns: (i) algorithmic systems structurally amplify ideological homogeneity, reinforcing selective exposure and limiting viewpoint diversity; (ii) youth demonstrate partial awareness and adaptive strategies to navigate algorithmic feeds, though their agency is constrained by opaque recommender systems and uneven digital literacy; and (iii) echo chambers not only foster ideological polarization but also serve as spaces for identity reinforcement and cultural belonging. Despite these insights, the evidence base suffers from geographic bias toward Western contexts, limited longitudinal research, methodological fragmentation, and conceptual ambiguity in key definitions. This review highlights the need for integrative, cross-cultural, and youth-centered approaches that bridge empirical evidence with lived experiences. Full article

Ritual prayer (ṣalāh) is one of the most central and enduring practices in Islam, widely recognized for its spiritual significance. However, its educational and formative role in shaping the Muslim’s inner self and moral identity remains insufficiently explored in contemporary scholarship. This paper aims to examine ritual prayer as a core pedagogical tool within Islamic education, focusing on its transformative power in the processes of self-purification (tazkiyah) and identity formation. The study seeks to analyze the ethical and psychological dimensions of ṣalāh, drawing on classical Islamic sources, as well as integrating insights from contemporary critical philosophy—particularly Byung-Chul Han’s Vita Contemplativa—and Islamic virtue ethics, including perspectives such as those advanced by Elizabeth Bucar. Through this framework, the paper explores how prayer shapes inner dispositions like humility, mindfulness, sincerity, patience, and submission, reinforcing both spiritual awareness and communal belonging. Employing a descriptive-analytical methodology, the study engages Qur’anic verses, prophetic traditions, and traditional pedagogical literature to investigate how ṣalāh functions as a lived and repeated experience that cultivates the soul and molds ethical behavior. The discussion highlights how regular performance of prayer integrates belief with action and contributes to the formation of a reflective and morally grounded Muslim identity. This paper contributes to the field of Islamic Practical Theology by demonstrating how ritual prayer operates as a dynamic and holistic model for moral and spiritual development. It provides educators and scholars with a theoretical and applied vision for incorporating ṣalāh-based character education into Islamic curricula. Future research may explore how prayer interacts with modern lifestyles, digital spiritual practices, and intergenerational transmission of religious identity in diverse contexts. Full article

This study aims to explore teachers’ perceptions and students’ strategies when integrating AI-mediated informal digital learning of English tools (AI-IDLE) into career ESL writing instruction. This case study involved six university instructors and over 300 students in an English writing course. Although AI-IDLE has broadened English access beyond classrooms, existing research on writing skills often neglects students’ diverse strategies that correspond to their professional aspirations, as well as teachers’ perceptions. The data included a demographic questionnaire, think-aloud protocols for real-time assessment of cognitive processes during the task, and semi-structured interviews for teachers’ validation. Findings reveal three major student strategies: (1) explicit genre understanding, (2) student-driven selection of digital multimodal tools—such as Grammarly, ChatGPT, Canva with Magic Write, and Invideo—to integrate text with images, sound, and layout for improved rhetorical accessibility, and (3) alignment with students’ post-graduation career needs. Students’ work with these AI tools demonstrated that when they created projects aligned with professional identities and future job needs, they became more aware of how to improve their writing; however, the teachers expressed hopes and doubts about the tools’ effectiveness and authenticity of the students’ work. Suggestions to use AI-IDLE to improve writing were provided. Full article

This study investigates how Spanish heritage language (SHL) learners, and second language (L2) learners cognitively and socially engage with texts through collaborative digital annotations. Conducted in two advanced online writing courses with forty students, the study employed Perusall, a social annotation platform, to examine reading behaviors and peer interactions. Quantitative analysis revealed both similarities and differences in strategy use: while both groups demonstrated equal levels of interaction, SHL learners favored Evaluating and Connecting strategies, suggesting reflective, experience-based engagement, whereas L2 learners more frequently used Questioning and Translating strategies, indicating a more analytical approach. Survey responses further highlighted perceived gains in vocabulary, motivation, grammar, and academic language awareness. These findings challenge deficit-based assumptions about SHL literacy and underscore the value of integrating culturally relevant, digitally mediated tasks in language instruction. The study affirms that collaborative annotation not only fosters cognitive engagement but also promotes social presence and academic identity development. It offers practical recommendations for grouping, scaffolding, and platform use, and contributes to a broader understanding of how digital tools can support inclusive, meaningful reading experiences for diverse learners in the twenty-first-century classroom. Full article

The Cultural STEM Night (CSN) initiative was developed to address the persistent lack of culturally relevant STEM teaching materials, which often contributes to student disengagement—particularly among underrepresented populations. This study examined the impact of the CSN program on enhancing STEM affinity and cultural intelligence (CQ) among American and Korean teacher candidates. Over six weeks, participants engaged in synchronous workshops, virtual cultural exchanges, and collaborative STEM lesson design integrating Korean cultural contexts. Quantitative analysis of pre- and post-program surveys using the STEM Affinity Test and Cultural Intelligence Scale revealed statistically significant improvements across all subdomains of STEM affinity (identity, interest, self-concept, value, and attitudes) and in most dimensions of CQ (metacognitive, cognitive, and behavioral). However, motivational CQ did not show significant gains, likely due to limited student interaction time during the event. Qualitative data from written reflections and focus group discussions supported these findings, indicating increased instructional adaptability, cultural awareness, and confidence in designing inclusive STEM lessons. These results demonstrate the transformative potential of interdisciplinary, culturally immersive programs in teacher education. The CSN model, supported by digital collaboration tools, offers a scalable and effective approach to preparing educators for diverse classrooms. Findings underscore the importance of integrating culturally responsive teaching into STEM education to promote equity, engagement, and global competence. Full article

The growing need for secure and privacy-preserving identity management in industrial environments has exposed the limitations of traditional, centralized authentication systems. In this context, SIBERIA was developed as a modular solution that empowers users to control their own digital identities, while ensuring robust protection of critical services. The system is designed in alignment with European standards and regulations, including EBSI, eIDAS 2.0, and the GDPR. SIBERIA integrates a Self-Sovereign Identity (SSI) framework with a decentralized blockchain-based infrastructure for the issuance and verification of Verifiable Credentials (VCs). It incorporates multi-factor authentication by combining a voice biometric module, enhanced with spoofing-aware techniques to detect synthetic or replayed audio, and a behavioral biometrics module that provides continuous authentication by monitoring user interaction patterns. The system enables secure and user-centric identity management in industrial contexts, ensuring high resistance to impersonation and credential theft while maintaining regulatory compliance. SIBERIA demonstrates that it is possible to achieve both strong security and user autonomy in digital identity systems by leveraging decentralized technologies and advanced biometric verification methods. Full article

While accelerating globalization and technological transformation, traditional food products occupy a vulnerable yet strategically important position, straddling the line between cultural preservation and the need to remain economically viable. This study assesses both the sustainability and economic potential of traditional food items specific to Bihor County, Romania, with particular attention to their integration into contemporary value chains. A mixed-methods design was employed, combining structured surveys with 137 local consumers and semi-structured interviews with 20 regional producers. This research focused on consumer awareness, purchasing behavior, and producers’ readiness to engage with digital tools, within the broader framework of human-centered development and the Industry 5.0 paradigm. Findings reveal a modest but consistent link between familiarity and the willingness to pay a premium, although the frequency of consumption appeared to be unaffected. Sustainability emerged as a widely held value, commonly associated with seasonality, natural ingredients, and artisanal methods. On the supply side, producers showed a cautious openness to digital adoption, often tempered by a strong desire to preserve traditional practices. Based on these insights, this study outlines a territorially grounded framework for enhancing the resilience of traditional foods. Policy recommendations include support for user-friendly digital platforms, improved rural infrastructure, and initiatives that reinforce the regional gastronomic identity. Full article