Children in street situations are prone to physical and emotional abuse, exploitation, medical and financial problems. This research aims to examine the root causes of children in street situations' deprivations, to contribute to the welfare of children in street situations, and to propose strategies for addressing the matter through a multimedia project, specifically by a hybrid 2D & 3D educational animated series and website. It will also explore the impact of educational animated series and websites that will provide a comprehensive understanding of the challenges faced by children in street situations. It serves to raise awareness, promote understanding, and potentially generate solutions to improve the lives of children in street situations. This multimedia project can be an educational tool to various NGOs and organizations that cater to children in street situations. This was found to be effective by providing an educational series and website with information on how to access basic needs and to provide a safe and supportive environment for children in street situations. The study utilizes a mixed qualitative and quantitative research design, it provides valuable insights into the challenges through interviews, pre-assessment, post assessment, and survey questions. The study has important implications for policymakers, educators, government, and practitioners working with children in street situations and highlights the importance of providing a safe and supportive environment for children in street situations to thrive.

To ensure students achieve timely and satisfactory graduation, it's essential to assess their future performance based on ongoing academic records and implement instructional interventions. Within the educational context, students fall into two categories: regular and irregular, each governed by distinct academic regulations. Regular students follow a predetermined curriculum, which provides a clear path to graduation and enhanced access to required courses, facilitating efficient progress toward degree completion. On the other hand, irregular students encounter challenges such as disruptions and delays, necessitating additional time and support to fulfill degree requirements. Guiding both regular and irregular students and improving their study plans require appropriate guidance and academic intervention. To address the existing research gap, this study presents a Criteria-based Recommender Platform for Achieving Optimal Time-to-Graduation Utilizing a Backward Chaining Algorithm. This platform automatically generates a personalized study plan by considering predefined criteria and parameters, enabling students to evaluate the timeline for completing their degree program. By leveraging the backward chaining algorithm, the platform's predictive model captures intricate relationships and dependencies within the data, providing valuable insights and predictions. This adaptive approach continuously refines predictions based on new data, enhancing accuracy and utility in guiding decision-making processes related to study plan generation.

In the context of higher education, ensuring timely and successful graduation for students is a pivotal objective, necessitating a comprehensive understanding of their academic performance and tailored interventions. Evaluating ongoing academic records is crucial for effective pedagogical interventions, but limited research on student performance in completing degrees has introduced challenges. To address these, academic institutions are adopting flexible curricula designs, prompting the need for diverse course offerings. Amidst this, two student categories emerge: regular and irregular, each presenting unique challenges. A Rule-Based Suggestion Platform for Academic Program Completion was conceptualized, designed, developed, and rigorously evaluated through the use of the Technology Acceptance Model (TAM). This innovative platform, which harnesses the power of rule-based decision-making, was created to address the intricate challenges surrounding students' timely and successful program completion within the academic landscape. The platform's underlying architecture and functionality were crafted to provide students with personalized and optimized recommendations, guiding them towards informed decisions in shaping their educational journey. The development process involved the integration of advanced rule-building mechanisms, enabling the system to analyze individual student profiles, academic progress, and program requirements. This data-driven approach empowers the platform to generate customized study plans that not only consider the students' academic ambitions but also adhere to predefined constraints and parameters. By evaluating the platform's performance through the Technology Acceptance Model, this study assesses the users' perception and acceptance of this novel tool, shedding light on its effectiveness and potential impact on enhancing the academic planning process.

Throughout the centuries, Philippine poetry, in its modern form, has made its way online with the rise of digital technology. However, an online article suggests that most Filipino poems are left on library shelves unappreciated. This lack of demand causes limited amounts of publishing. Thus, bookstores and publishing companies would not invest in these writers’ works. With this, the researchers investigated whether there is a lack of appreciation and promotion of Filipino poetry in today's generation and whether a hybrid short film is an effective multimedia outlet to promote the said field. All of the results yielded positive in that the participants showed interest in Filipino poetry after the film and had positive remarks about its technical aspects. Initially, the pre-test assessment showed that the respondents' interest in Filipino poetry gained a weighted mean of 3.67 out of 5 overall. In the post-assessment, however, gauging whether the short film helped pick their interest, there was a notable increase of 0.96 in the weighted mean, making it an average of 4.63. This project shows that the short film impacted the viewers regarding attaining the proponents' goals.

The difficulty with manually analyzing and processing data is that it takes too long, prone to degradation and other problems. Government agencies cannot reduce cases due to a lack of sufficient knowledge and analysis to determine the fundamental trend of RTI cases. Besides, the general public is utterly uninformed of road situations. Roadcast, a Vehicle Incident Management System, is a practical approach to minimizing road incidents. This study presents the automation of the manual process of collecting and analyzing incident data and transparency with the general public. The output of the study will be a web application system that will produce descriptive analytics, hot spots, and forecasting (7MA), supporting the PNP’s preparation for the projected future incident cases in the following week and determining the hazardous area in Pasig City through the hot spots. The general public will be informed of the number of road incidents in a particular barangay, entire cases in Pasig City, and other data visualizations integrated into the dashboard. Scrum Methodology was used to construct the system, and numerous users with varying responsibilities and administrator permissions were necessary to access and control the system. Alpha and Beta Testing examined the system’s functionality, usability, reliability, performance, and supportability. The researchers used purposive sampling to survey (11) technical and (49) non-technical respondents. The researchers received a score of 4.74, which translates to “Strongly Agree.” The system received positive feedback from both technical and non-technical respondents.