An AI-driven academic path forecasting system is proposed to support data-informed advising and early academic intervention in higher education. In the Philippine context, where delayed graduation, student dropouts and lack of personalized academic guidance persist, machine learning in education offers a scalable and intelligent solution. The system combines three educational data mining techniques: a Long Short-Term Memory (LSTM) network for course sequence prediction, a decision tree classifier for student progress classification as regular or irregular and a K-Means clustering algorithm for grouping students based on academic trajectories. These models are developed in TensorFlow and deployed on a web platform built with CodeIgniter, enabling functionalities such as academic path forecasting, curriculum tracking and real-time risk alerts. Evaluation shows that the LSTM model achieves strong precision and recall in predicting next-term courses, while the decision tree classifier accurately detects off-track students with interpretable decision rules. K-Means clustering reveals meaningful groupings aligned with academic outcomes, further supporting early identification of at-risk learners. Confusion matrix analysis confirms high model accuracy across tasks. By integrating AI into higher education through course prediction, student classification and cluster-based insights, the system offers a practical framework for enhancing student success through targeted academic support.

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.

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.

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.

Manila City is one of the most popular cities in the Philippines, having a vast tourist destination, including the eight (8) tourism hubs of Manila City, which details a comprehensive list of major attractions and activities. However, preliminary data gathering results, including interviews from the Department of Tourism, Culture and Arts of Manila (DTCAM) and pre-survey assessment, reveal that there is an observed number of youth who have lack of awareness about the maj or attractions and activities available in the eight (8) tourism hubs of Manila. With this, this study aims to develop and implement a hybrid 3D animated film and digital campaign that promotes the maj or attractions and activities available in eight (8) tourism hubs of Manila City in partnership with the DTCAM. The study employs a mixed-method of study, utilizing formative and summative evaluation, including interviews and survey subject matter expert, survey with target audience, and digital campaign analysis. The proj ect revealed positive insights from the subject matter experts, which notably affirms that the overall 3D integration, film, social media, and graphic design components itself also contributed to positive results, which encompasses satisfactory performance. In terms of target audience, the acceptance surveys, which denote that the target audience was able to gain better awareness of the maj or attractions and activities available in the eight (8) tourism hubs of Manila City. And in terms of digital campaign analysis, the key performance indicator in social media insights showed that the digital campaign performance garnered a positive growth rate in terms of number of reach, engagement, and number of followers, denoting that the digital campaign has maximized its platform in creating awareness and expanding audience base.