Eggshells, which are mainly composed of calcium carbonate, have been considered as alternative filler in polymer composites to reduce cost and improve some of the material properties. One of the biofillers that has not yet widely studied for its potential use in rubber is quail eggshell. For this research study, the effects of quail eggshell filler on the abrasion resistance and thermal degradation of room temperature vulcanizing (RTV) silicone rubber were investigated. Samples with 0, 5, 10 and 15 wt. % quail eggshell filler were prepared through manual mixing and open molding process. Abrasion resistance test was performed based on ASTM D4060 while thermogravimetric-differential thermal analysis was utilized to examine thermal degradation. Results revealed that the abrasion resistance of silicone rubber increases as the eggshell filler content rises from 0 to 15 wt. %. The silicone rubber with 15 wt. % filler achieved the best abrasion resistance with a mass loss of about 44.7 % less than the sample without filler. For the thermal analysis, the sample with 15 wt. % eggshell filler achieved a higher peak degradation temperature of about 605.61 oC as compared to the plain sample (511.25 oC) but the latter appears to resist thermal degradation better at high temperatures.

We owe this amazing collection to the vision and dedication of Aras Bozkurt of the Anadolu University (Türkiye), who, with characteristic energy and imagination, has brought together a remarkable community of voices. Having collaborated with Aras on several AI in education research, I can say with certainty that he not only advances the field with rigor but also infuses it with creativity and warmth. This volume reflects that spirit: diverse in scope, rich in insight, and committed to the future of education as a human endeavor. To Aras and to all the book chapter con tributors, not only my thanks but the thanks of every reader who will learn, reflect, and dream alongside these pages. Your work is a gift to our field and a reminder that scholarship can be both courageous in its critique and generous in its vision. Rarely does a book succeed in being both a mirror to our present and a lantern lighting the path ahead.

Mathematics is a subject that often feels distant from everyday life, yet its logic quietly shapes the world around us. As learners continue to question its practical significance, there is a growing need to rethink mathematics education. Recently, the emergence of artificial intelligence (AI) has opened new possibilities for transforming how mathematics is taught and learned. This chapter aims to examine the emerging role of AI in mathematics education by synthesizing current tools, identifying prevailing trends, and exploring transformative applications. Using a narrative review supported by expert-informed synthesis, several themes are identified that reflect how AI are reshaping instructional practices, learner engagement, and pedagogical design. The discussion integrates illustrative examples of AI tools to highlight their instructional relevance and underlying mechanisms. The chapter concludes by reflecting on a redefined landscape for mathematics education, where technology transforms instructional practices, learner experiences, and the development of mathematical thinking.

The inclusion of Artificial Intelligence (AI) and Machine Learning (ML) into cybersecurity education offers a significant opportunity to customize learning, improve engagement, and connect theoretical concepts with practical applications. This study presents the Dynamic Integration and Optimization of NetCyber Activities (DIONA) system which is an AI-enhanced educational tool developed from the NetFusion Learning Academy (NLA) to tackle ongoing issues in conventional cybersecurity education, including restricted adaptability, absence of real-time feedback, and inadequate practical skill application. The study employs a systematic methodology based on four distinct objectives: (1) to assess the efficacy of NLA in improving student learning across five critical domains— knowledge retention, practical skills, engagement, conceptual understanding, and problem-solving; (2) to examine student and faculty perceptions of its educational value; (3) to develop the ACTIVE AI Framework for AI-driven pedagogy; and (4) to create and validate DIONA as an AI/ML-based experiential learning platform. Statistical and thematic analyses indicated that although NLA effectively enhances knowledge and engagement, deficiencies persist in practical skills and problem-solving, necessitating the incorporation of AI-powered tools. The ACTIVE AI Framework and DIONA system offer customized learning trajectories, AI-generated feedback, and immersive simulations that correspond with authentic cybersecurity challenges. Results endorse the significance of intelligent learning analytics and specialized AI systems in transforming technical education and equipping students for changing digital environments.

Soil pollution in urban environments is a critical issue with significant implications for public health, environmental quality, and sustainable urban development. This review paper explores the various aspects of soil pollution in urban areas, including its sources, types of pollutants, consequences, mitigation strategies, and the importance of sustainable urban development. The sources of soil pollution in urban environments are diverse, ranging from industrial activities and waste disposal to emerging sources like microplastics and pharmaceuticals. The types of pollutants found in urban soils include heavy metals, polycyclic aromatic hydrocarbons (PAHs), and organochlorine pesticides, among others. The consequences of soil pollution in urban areas encompass public health risks, environmental impacts, and contamination of water resources. Mitigation strategies such as remediation techniques, pollution prevention measures, urban green infrastructure, and public awareness are crucial for addressing soil pollution in urban environments. Sustainable urban development plays a key role in maintaining soil health and integrating soil considerations into urban planning. By understanding the sources, types, consequences, and mitigation strategies of soil pollution in urban areas, cities can work towards healthier environments and sustainable development.

The study investigated the live selling of apparel on Facebook as a form of entertainment that blends digital marketing with e-commerce. It examined how satisfaction mediates the effect of the factors associated with apparel live selling on Facebook on Gen Z’s repurchase intention. A descriptive-casual method utilizing the Partial Least Square – Structural Equation Modelling (PLS-SEM) analyzed the results and tested the hypotheses from the data gathered from 371 respondents. Results showed that satisfaction partially moderates the causal relationship between the exogenous variables and repurchase intention. Researchers found that live sellers can create more value for customers and better serve them by focusing on important factors like product range, delivery speed, and customer service. The indirect effect of the factors influencing live selling on repurchase intention through customer satisfaction was significant. This means that part of the causal relationship between the factors of Live Selling and Gen Z's repurchase intention towards Facebook Live Selling was mediated by Satisfaction. The major contribution of this study is the identification of the six key factors that influence Gen Z customers' likelihood to repurchase an apparel brand found on Facebook through live selling. By highlighting the mediating role of customer satisfaction, this study reveals how retailers can increase loyalty and repeat purchases by focusing on providing customers with a positive shopping experience. Moreover, the study provides valuable insights into what makes Gen Z different and how marketers can tailor their products to appeal specifically to this important consumer group.

This pilot study investigates the adoption trends and challenges of artificial intelligence (AI) and machine learning (ML) in the telecommunications sector, focusing on network analytics and security. Using a two-part design—literature review and survey-based statistical analysis—the study provides early insights into industry perceptions and readiness. With data from 31 telecom professionals in a leading Philippine service provider, results reveal a low level of current implementation but high expectations for future adoption. Despite the small sample size, which limits generalizability, this study contributes a foundational analysis of key drivers and obstacles of AI/ML adoption. It highlights the importance of workforce upskilling, integration strategies, and stakeholder engagement in supporting AI readiness within telecom organizations.

This study addresses the critical importance of customer-focused strategies and brand promotion within the food component import–export sector, a context that remains underexplored, particularly with respect to the influence of external factors across diverse geographical settings. Its objective was to empirically investigate how operational excellence, particularly customer relationship management (CRM), value-added services, and product quality and safety assurance affects customer loyalty and, in turn, drives brand promotion. Utilizing a descriptive quantitative research design, a cross-sectional survey was administered in the Philippines, with data analyzed through Structural Equation Modeling (SEM). The findings indicate that CRM exerts the most significant influence on customer loyalty, while product quality and safety assurance also positively contributes. Importantly, customer loyalty emerged as a strong driver of brand promotion. The model demonstrated high predictive power for customer loyalty and substantial explanatory power for brand promotion. These results highlight that strong customer relationships developed through CRM are essential for fostering loyalty and positioning customers as effective brand advocates. Preserving product quality and safety assurance is fundamental, the study's results imply that companies should purposefully put in comprehensive CRM systems and tailored encounters. To develop devoted clients, hence boosting brand awareness and securing sustained competitive advantage. Future studies ought to broaden the scope of investigated factors and explore more generalizable geographical settings to improve generalizability.

Artificial intelligence (AI) is becoming a disruptive force in digital marketing and advertising in the Philippines, transforming how brands plan, execute, and engage with their audiences. This study explores the impact of AI technologies such as automated targeting, personalized content delivery, and campaign optimization on industry practices and professional skillsets. Using the Task Technology Fit (TTF) Model and sentiment analysis, the research identifies a growing dependence on AI tools alongside significant challenges. These include a shortage of AI-related training opportunities, limited institutional support, and ethical concerns related to privacy and algorithmic bias. Despite these obstacles, there is cautious optimism among marketing professionals regarding AI’s potential to enhance creativity, efficiency, and strategic decision-making. The findings emphasize the importance of developing human-AI collaboration frameworks, strengthening ethical standards, and promoting AI literacy across sectors. Collaboration among educational institutions, industry leaders, and policymakers is essential to building a resilient and future-ready advertising workforce in the Philippines.

This study examines how multimedia arts students perceive generative artificial intelligence (AI) as a potential threat to traditional artistic practices. While AI-powered tools are increasingly integrated into creative processes, offering benefits such as efficiency, expanded techniques, and access to new artistic possibilities, their use has sparked concerns about the declining role of manual skills and the authenticity of AI-generated works. Using Rogers’ Diffusion of Innovations Theory as a framework, this research explores student insights through qualitative analysis, including keyword frequency and word cloud visualization. Results indicate a generally positive attitude toward AI’s practical applications, yet students express reservations about its impact on creative identity, originality, and ethical considerations such as copyright and attribution. These findings suggest a need for educational approaches that introduce AI critically and constructively, ensuring that emerging technologies enhance rather than replace human creativity. Future research should explore pedagogical strategies that preserve traditional artistic values while preparing students to navigate an evolving creative landscape.