The Philippines, known for its extraordinary biodiversity, holds a unique and ecologically vital position in the world of conservation. Despite the exceptional richness of its biodiversity, the gravity of the threats it faces has been notable for the lack of attention given to endangered animals in the Philippines. With that, this study aims to create an innovative learning material to inform children through a 360 interactive video about the lives of critically endangered species in the Philippines. To validate the study, mixed method technique was used to collect data and information. The researchers interviewed subject matter experts, technical experts, and 8 to 10- year-old target audiences. It revealed that innovative learning material like a 360 interactive video is an effective way to engage and help inform children in the Philippines about critically endangered species. This research offers valuable insights into the effectiveness of 360 interactive video promoting the advocacy supporting the SDG’s Quality Education, Life on Land, and Life on Water for the children of Manila City, contributing to broader societal goals of understanding.

Artificial intelligence (AI) is revolutionizing digital marketing by enhancing targeting, personalization, and automation, leading to data-driven advertising strategies. AI-powered analytics optimize customer engagement, enabling businesses to deliver highly tailored ads that improve conversion rates and return on investment. Automated tools streamline content creation and campaign management, while chatbots enhance customer interactions on a scale. In the Philippines, AI adoption in marketing is expanding, with local retailers and online platforms leveraging AI for personalized recommendations and programmatic advertising. However, challenges remain, including data privacy concerns, algorithmic bias, and a widening skills gap, as AI proficiency becomes increasingly essential for marketers. While AI offers efficiency, a word cloud analysis highlights concerns about its impact on creativity and the human touch in branding. According to the Technology Acceptance Model, Filipino marketers and multimedia arts students must develop AI literacy and strategic thinking to remain competitive. Ethical considerations also require greater oversight in AI-powered advertising to ensure responsible consumer engagement. The future of digital marketing in the Philippines depends on balancing AI-driven efficiency with human creativity, storytelling, and cultural relevance. Businesses must invest in upskilling initiatives and ethical frameworks to maximize AI’s potential while mitigating risks. Further research should examine AI’s long-term impact on job roles, industry dynamics, and consumer trust. As AI becomes more integrated into marketing strategies, success will hinge on how well professionals merge automation with authentic, human-centric advertising practices.

The metaverse is reshaping interaction, learning, and community-building in immersive virtual environments. While interest in metaverse adoption is growing, most research has focused on technological predictors and has overlooked the experiential dimensions that are central to sustained engagement in these spaces. This gap limits understanding of how users develop and maintain meaningful virtual existence in the metaverse. Therefore, this study develops the Metaverse Experience and Technology Acceptance (META) model by integrating the principles of the Technology Acceptance Model (TAM) and Embodied Social Presence Theory (ESPT). Structural equation modeling (SEM) was used to analyze data collected from 924 students with metaverse experience. The META model demonstrates strong explanatory power in accounting for both technology acceptance and user experience in virtual worlds. Moreover, the findings indicate that adoption of the metaverse as a digital university extends beyond the functional focus of TAM to include the immersive, social, and embodied elements emphasized in ESPT. By bridging technological and experiential determinants, the META model advances theoretical understanding and offers actionable insights for creating metaverse environments that promote conducive digital existence.

This review examines the integration of climate-smart aquaculture (CSAq) as a strategy to enhance the resilience and sustainability of global aquaculture and coastal agriculture in the face of climate change. CSAq encompasses innovations such as integrated multi-trophic aquaculture (IMTA), genetic advancements, renewable energy integration, and optimized water management, all aimed at minimizing environmental impacts while maintaining productivity. As climate change introduces threats like ocean acidification, temperature fluctuations, and extreme weather events, CSAq offers adaptive solutions critical for preserving marine ecosystems, reducing greenhouse gas emissions, and sustaining food security. The review emphasizes that the successful adoption of CSAq is contingent upon supportive policies, cross-sectoral collaboration, and socio-economic considerations, including gender inclusivity and community involvement. As aquaculture's role in food security continues to grow, CSAq provides a pathway for mitigating climate impacts while promoting sustainable development. This review underscores the necessity of climate-smart approaches for building resilient food systems that can adapt to a changing climate and sustain livelihoods in vulnerable coastal regions.

Achieving a just and accelerated renewable energy (RE) transition in the Philippines requires not only technological innovation but also coherent and cross-sectoral policy alignment. Non-energy policies can facilitate or hinder the RE development. Non-energy policies, particularly those governing land use, permitting, and environmental regulation, and other significantly shape the feasibility of RE deployment. However, the analyses and evidences on implications of the non-energy policies on RE development are scarce, especially in the context of developing countries. This study provides a comprehensive, stakeholder-informed assessment of 43 national-level policy instruments across five domains in the Philippines: Energy Policy and Regulation, Climate Change and Sustainability, Environmental and Natural Resource Conservation, Agriculture and Rural Development, and Land Use and Property Rights. In this study, using a modified Sustainable Development Goals (SDG) interaction framework, stakeholders from academia, government, industry, and non-governmental organizations evaluated each policy's influence on RE development using a seven-point scale. Weighted average (WA) scores were computed to determine whether policies act as enablers or constraints. Results show that energy and climate policies are strongly supportive due to clear mandates and institutional coordination, whereas land governance and agrarian reform policies are viewed as restrictive because of procedural uncertainty and tenure risks. Environmental policies are generally enabling but raise permitting concerns. Divergent stakeholder perceptions underscore the need for inclusive and transparent governance. The study concludes that accelerating the RE transition will depend on harmonizing institutional mandates, reforming land-use frameworks, enabling decentralized systems, and strengthening technical and governance capacity across all sectors.

Artificial Intelligence (AI) is reshaping higher education by streamlining tasks, supporting personalized learning, and enhancing student engagement. Yet, these benefits coexist with risks of dependence, reduced critical thinking, and inequities-a duality termed the relief paradox. This study examined the perceptions of 138 IT students at FEU Institute of Technology to explore how they experience both the relief and paradoxical burdens of AI in education, with attention to Sustainable Development Goal 4 (SDG 4) on inclusive and equitable quality education. Using a descriptiveanalytic design, validated survey instruments, and both descriptive and inferential statistics, results showed that students generally recognized AI's potential to reduce workload and improve inclusivity, while also expressing concern over ethical issues and overdependence. The study underscores the need for balanced integration of AI in education, offering recommendations for curriculum, policy, and capacity-building to ensure responsible adoption.

In the evolving landscape of education, artificial intelligence (AI) is reshaping traditional pedagogical models and redefining the roles of teachers and students. This paper explores the transformative potential of Microsoft Copilot Vision, a multimodal AI tool, in enhancing teacher-student interaction and promoting educational equity. By integrating visual AI capabilities into classroom practices, educators can create more dynamic and adaptive learning environments that can personalize instruction, provide real-time feedback, and support diverse learning needs. The study examines how Copilot Vision facilitates inclusive learning environments, particularly for students with disabilities, language barriers, or limited access to resources. It also investigates the shifting role of teachers-from content deliverers to facilitators of AI-enhanced learning-and the ethical considerations surrounding human-AI collaboration in education. Anchored in the framework of Sustainable Development Goal 4 (SDG4), which advocates for inclusive and equitable quality education, this research highlights the opportunities and challenges of deploying AI vision tools to bridge learning gaps and foster meaningful engagement in the digital classroom setup.

As generative AI continues to reshape educational landscapes, prompt-to-image technologies offer new possibilities for enhancing visual pedagogy. This study investigates the integration of NanoBanana a lightweight, prompt-driven image generation tool, into higher education settings to support multimodal learning and cognitive scaffolding. Grounded in Dual Coding Theory and Cognitive Load Theory, the research explores how AI-generated visuals derived from student and instructor prompts can improve comprehension, engagement, and retention in complex subjects such as ICT, Game Studies, and Systems Analysis. Using a mixed-methods approach, the study analyzes student performance data, visual rubric evaluations, and qualitative feedback from learners and educators. Findings reveal that NanoBanana-generated images significantly aid in conceptual clarity, reduce extraneous cognitive load, and foster learner autonomy. The paper proposes a practical framework for integrating prompt-to-image tools into curriculum design and instructional workflows, offering actionable insights for educators seeking to advance AI-enhanced teaching practices in line with SDG4 and the evolving demands of the AI era.

Despite the potential for e-commerce to boost productivity and market access for farmers, adoption remains low, particularly in rural areas of developing countries. This study addresses the research gap by predicting farmers' adoption of digital platforms in the National Capital Region, Philippines, using the Theory of Planned Behavior (TPB) and the Technology Acceptance Model (TAM). Based on a survey of 615 farmers and analysis with various machine learning models, with XGBoost as the top performer, the study found that perceived usefulness, trust, and price value are the most significant factors influencing adoption. Social influence and ease of use also play important roles. The findings provide guidance for policymakers and platform developers, highlighting the need to improve digital literacy, build trust, and ensure affordability to accelerate the digital transformation of the agricultural sector.

This study examines the Canvas’ usability in Learning Management System (LMS) from the perspectives of students and teachers, focusing on experiences across Progressive Web App (PWA) and native mobile platforms. A task-based usability testing approach was employed, combining quantitative measures of task completion and time with qualitative insights from observations and participant feedback. Findings indicate that both platforms supported high task completion, though clear differences emerged in efficiency and feature accessibility. Teachers achieved a 91.7% completion rate on the mobile app compared to 100% on the PWA. The mobile app was faster for grading and assignment creation, while the PWA provided broader feature coverage, particularly for analytics, though some users reported navigation difficulties. For students, performance differences were more pronounced: average task completion time on the PWA was 1.24 minutes compared to 5.72 minutes on the mobile app. Tasks such as replying to announcements and checking grades were completed up to ten times faster on the PWA. Overall, the mobile app demonstrated greater stability and efficiency for routine functions, whereas the PWA offered extended functionality and cross-platform access but with tradeoffs in responsiveness and interface clarity. These results highlight the role of platform choice in shaping user experience and suggest directions for optimizing Canvas LMS for both teaching and learning contexts. By advancing usability in digital learning platforms, this research contributes to Sustainable Development Goal (SDG) 4: Quality Education, while also supporting SDG 9: Industry, Innovation, and Infrastructure through insights on mobile technology design, and SDG 10: Reduced Inequalities by emphasizing accessibility across diverse devices and connectivity conditions.