Generative AI tools are increasingly transforming multimedia arts courses by streamlining creative processes and expanding the possibilities for artistic expression. The integration of these tools into creative platforms has enabled students to enhance their productivity and experiment with innovative techniques, fostering an environment where digital artistry can thrive. Despite these benefits, the use of AI raises significant concerns regarding originality, artistic authenticity, and the potential erosion of traditional skills. Analysis using the technology acceptance model (TAM) reveals that students broadly accept these tools due to their perceived utility and ease of use, yet they remain cautious about their long-term impact on creative development. A word cloud analysis of student feedback illustrates a diverse array of sentiments, combining enthusiasm for the technological advancements with caution and ethical deliberation about the role of AI in art. Sentiment analysis further indicates an overall optimistic view toward the integration of generative AI, while also uncovering persistent concerns about ethical issues, such as copyright and the fair attribution of creative work. These findings highlight the critical need for educational strategies that balance the benefits of AI-driven efficiency and innovation with the preservation of traditional artistic practices. Future research should explore methods to integrate AI into multimedia arts curricula in a way that augments human creativity and safeguards the unique qualities of handcrafted art, ensuring that technological progress enhances rather than compromises artistic integrity.

In today’s society, technology has become an integral part of daily life. At home, families now have access to the Internet and electronic devices. Although digitalization offers numerous advantages, it also poses problems for young children who can be constantly exposed to online content, which can negatively affect their holistic development. Parents and guardians who are accustomed to traditional parenting can also experience challenges in handling technology at home. The study aims to educate and guide parents and guardians on how to manage their children’s digital activities effectively. Through a hybrid web series and a social media campaign, they can be encouraged to foster a conducive digital environment to better support their children’s early development. Children can also help them build a positive relationship with their children at home. Formative and summative evaluation were conducted to gather information on academic professionals and industry experts. Also included is a test screening to understand the impact of the project on the target audience. With a grand mean of 4.47, the study was able to increase the learning outcomes of the parents and guardians. This can contribute to the existing body of knowledge on digital parenting, child development, and digital media.

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.

This paper discusses that the Digital marketplaces play a crucial role in connecting startups with potential investors, yet their adoption success depends on understanding the key factors influencing user intention. Predicting adoption behaviors accurately can help improve engagement and ensure platform sustainability. The study applies the Unified Theory of Acceptance and Use of Technology (UTAUT) framework to identify key adoption factors including Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Facilitating Conditions (FC), Trust (TR), and Government Support (GS).and this has been widely applied to study technology adoption, limited research integrates this framework with machine learning models to predict adoption intention in e-marketplaces for startups. This study aims to develop machine learning-based prediction models for StartSmart an e-marketplace linking startups and investors and identify the most influential factors affecting adoption intention based on the UTAUT framework. Data from 542 respondents were analyzed using six machine learning techniques: Decision Trees (DT), Random Forests (RF), Gradient Boosting (GRB), XGBoost (XGB), K-Nearest Neighbors (KNN), and Support Vector Machines (SVM).Results indicate that DT achieved the highest accuracy (0.93) and precision (0.94), while RF obtained the highest AUC-ROC score (0.98). Analysis of feature importance revealed that PE and EE were the most significant predictors of adoption, followed by TR and GS. These findings provide valuable insights for platform developers to prioritize usability and performance improvements, and for policymakers to strengthen trust and government support. The study also highlights the potential of combining UTAUT with machine learning to enhance predictive accuracy in digital adoption research.

The accuracy of classification algorithms is significantly influenced by the quality and structure of input data. In this light, effective pre-processing is crucial for boosting the generalization capabilities of supervised machine learning models. This study addresses key challenges in data preparation, including the treatment of continuous attributes, imputation of missing values, and management of high-dimensional features. To overcome these obstacles, we propose an innovative hybrid preprocessing strategy that synthesizes multiple techniques into a unified framework. By tailoring specific methods to the characteristics of diverse datasets, this hybrid approach enhances both the accuracy and robustness of the classification results. Through the promotion of intelligent, data-driven solutions that can be applied in multiple sectors, the findings support the Sustainable Development Goal 9 (SDG 9), which focuses on Industry, Innovation and Infrastructure.