Scopus ID: 105036341666
2025 2nd International Conference on Artificial Intelligence and Teacher Education (ICAITE), (2025), pp. 271-275
Conference Paper | Published: December 9, 2025
Abstract
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.
Scopus ID: 105036352907
2025 2nd International Conference on Artificial Intelligence and Teacher Education (ICAITE), (2025), pp. 176-182
Conference Paper | Published: December 9, 2025
Abstract
Video-based learning (VBL) is a cornerstone of modern education. With the rise of artificial intelligence (AI), tools such as AI-generated video summaries are increasingly used to enhance learner efficiency and streamline content delivery. However, little is known about how such summaries influence learner behavior, cognitive engagement, and motivation during exposure to instructional materials. The present study examined the impact of AI-generated summaries on engagement, comprehension, and intrinsic motivation in a controlled VBL environment. Sixty participants were randomly assigned to either a control group (video only) or a summary group (video plus AIgenerated summary). Results showed that summary access led to significantly reduced video viewing time, suggesting that learners treated the summary as a substitute rather than a complement. While comprehension scores were only moderately lower in the summary group, deeper analysis revealed underperformance on conceptual transfer items. Intrinsic motivation was also significantly lower, particularly in interest and perceived value. These findings underscore the need for intentional design when integrating AI-generated support, as unstructured summary access may promote shallow engagement and diminish learning outcomes. The study concludes with design implications, recommended strategies for integrating AI-generated supports, and directions for future research in VBL environments.
Scopus ID: 105036334963
2025 2nd International Conference on Artificial Intelligence and Teacher Education (ICAITE), (2025), pp. 143-149
Conference Paper | Published: December 9, 2025
Abstract
As higher education increasingly adopts hybrid learning models, understanding the role of digital environments in supporting student well-being has become essential. While prior studies have examined the clinical and instructional applications of the metaverse, little attention has been given to its informal, socially immersive uses. This study explores how voluntary participation in a beach-themed, off-campus metaverse environment relates to students' perceived stress, mental health, social connectedness, and academic belonging. Using a quantitative observational design, data were collected from validated psychological scales and behavioral engagement metrics. Correlational analyses revealed that greater time spent in the metaverse was significantly associated with lower perceived stress and higher social connectedness. Multiple regression indicated that recurring peer interactions and event attendance were significant predictors of academic belonging, while time spent alone was not. ANOVA results showed that students with higher levels of metaverse engagement reported significantly greater perceived social support, with a trend toward lower psychological distress. These findings highlight the psychosocial value of informal metaverse spaces. When designed to support peer interaction and voluntary participation, such environments can serve as digital third places that promote emotional resilience, connection, and belonging in hybrid academic settings. Overall, this study extends the current literature by foregrounding the affective and social affordances of metaverse environments beyond structured therapeutic or instructional contexts.
Scopus ID: 105031368506
2025 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), (2025), pp. 368-373
Conference Paper | Published: December 5, 2025
Abstract
High voltage engineering has evolved rapidly, driven by the growing need for efficient energy transmission and the integration of renewable energy into modern power grids, including urban areas. Innovations such as HVDC systems are central to this transformation, ensuring that grids can handle the increasing complexity and demand for sustainable energy. However, challenges remain, especially when it comes to coordinating insulation in hybrid AC/DC systems and maintaining the resilience of the overall infrastructure. This review looks at how Artificial Intelligence (AI) can help tackle these challenges, focusing on its role in fault detection, predictive maintenance, and improving system reliability. By comparing traditional methods with AI-driven solutions, we highlight how AI can enhance the scalability, efficiency, and adaptability of power systems. With AI, utilities can predict and prevent faults, optimize grid performance, and seamlessly integrate renewable energy sources into both rural and urban environments. Our goal is to provide insights for researchers, industry professionals, and policymakers on how AI can be harnessed to build more sustainable, resilient, and reliable energy systems. The insights shared here aim to help shape the future of power grids, positioning AI as a key player in the transition to cleaner, more efficient energy solutions.
Scopus ID: 105031358679
2025 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), (2025), pp. 227-232
Conference Paper | Published: December 5, 2025
Abstract
The integration of artificial intelligence (AI) into computational materials science (CMS) has introduced powerful approaches for accelerating the discovery and optimization of advanced energy materials. As energy demands shift toward renewable systems, the development of efficient materials for batteries, fuel cells, and electrocatalysts becomes increasingly critical. This paper systematically reviews recent AI methodologies applied within CMS, particularly those leveraging density functional theory (DFT), molecular dynamics (MD), and kinetic Monte Carlo (KMC) simulations. Emphasis is placed on the use of machine learning (ML) models, including supervised learning, deep learning, and hybrid strategies for property prediction, structure optimization, and inverse design. The review categorizes current applications across key energy technologies and discusses how AI is reshaping material screening and development pipelines. It concludes with an outlook on future directions, highlighting the need for standardized datasets, interpretable models, and physics-informed frameworks to improve predictive accuracy and facilitate AI adoption in practical materials research.
Scopus ID: 105031391365
2025 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), (2025), pp. 221-226
Conference Paper | Published: December 5, 2025
Abstract
Artificial Intelligence (AI) is transforming the prediction and optimization of advanced energy materials by enabling accurate, scalable modeling beyond traditional methods. This review evaluates recent AI applications—including Graph Neural Networks (GNNs), Convolutional and Recurrent Neural Networks (CNNs, RNNs), tree-based ensembles, and Gaussian Process Regression (GPR)—for forecasting performance metrics such as overpotential, conductivity, capacity, and degradation. GNNs achieved R2 > 0.90 in structure-sensitive tasks; LSTM models predicted battery degradation with <10% error; and tree-based models balanced accuracy (MAE < 0.15 V) with interpretability. GPR excelled in low-data regimes via uncertainty quantification. Hybrid and physics-informed models improved generalizability and data efficiency. While challenges remain in data quality and integration with experiments, emerging strategies like autonomous labs and generative design offer promising advances. This review provides comparative benchmarks and highlights pathways for robust AI-driven materials discovery.
Scopus ID: 105030150631
2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2025), pp. 1-6
Conference Paper | Published: December 3, 2025
Abstract
This study focuses on the evaluation of the develop enterprise-level information system that focuses on research, instruction and extension integration for State Universities and Colleges (SUCs) in the Philippines. The researcher used the descriptive- developmental type of research. Using the system, the leaders of the school will have a real-time overview of the status of the performance and accomplishment. Policymakers can use the results to inform the development of policies and guidelines that promote the effective integration of digital technologies in education. The application was developed based on the Agile Development Model. The Agile software development life cycle is a set of steps that a product goes through as it progresses from initiation to completion. The characteristics need to evaluate the product/software defined in ISO/IEC 25010 are the following: functional suitability, performance efficiency, compatibility, usability, reliability, security, maintainability, and portability. The system obtained the overall weighted mean of 3.73 which interpret as Excellent in terms of Product Quality evaluated by the IT Experts. This means that the system is approved by the IT Experts and highly recommended to use.
Scopus ID: 105030178217
2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2025), pp. 1-6
Conference Paper | Published: December 3, 2025
Abstract
The use of Cocos nucifera (coconut shell) ash as a supplementary cementitious material has shown potential in enhancing the compressive strength of concrete. However, the optimal calcination temperature and duration for producing effective ash remain uncertain. This study employs a Central Composite Design (CCD) to investigate the effect of calcination on concrete strength. Nine combinations of temperatures 550°. to 800°C) and durations (1 to 3 hours) were tested, producing 13 samples, which were cured for 28 days before compressive strength testing. X-ray Fluorescence (XRF) analysis identified 15 elements, with iron significantly influencing strength. The highest compressive strength (24.9 MPa) was achieved at 675°C for 2 hours, where iron content reached 16.63 %. A full quadratic regression model was developed, with an R2 of 79.47 %, and backward elimination refined the model to a predicted R2 of 67.32 %. Sensitivity analysis revealed temperature as the most significant factor, with a sensitivity value of 14.53 compared to 1.48 for duration. Optimization indicated the ideal calcination temperature to be 672.81° C. This study supports sustainable development goals by advancing innovative materials for infrastructure and by promoting the use of agricultural waste, reducing the environmental footprint of concrete production.
Scopus ID: 105030162290
2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2025), pp. 1-6
Conference Paper | Published: December 3, 2025
Abstract
Navigating to find attractions can be challenging for tourists due to the lack of navigation websites that pinpoint any tourist attractions within Metro Manila. The lack of navigation websites may lead to fewer tourists visiting the place and hinder tourism in the area. To resolve this issue, the researchers developed ‘SpotN’Go: An interactive web-based platform promoting the best places to visit in the city of Manila.' This website promotes various attractions including historical sites, old churches, and parks where visitors can enjoy their visit. By blending educational content with an entertaining format, the platform helps users understand the history and appreciate the beauty of the places they visit. The study uses an Input-Process-Output (IPO) design. Users (input) provide information and feedback throughout development. This information is used to improve the web platform (process), which showcases Manila's attractions. The enhanced platform is then beta tested (output) to identify and fix errors before the final launch. A survey assessed the system's quality using the FURPS model (Functionality, Usability, Reliability, Performance, Supportability). Public users (tourists) rated it ‘Strongly Agree’ overall, while IT administrators rated it ‘Agree’ across all aspects (average score: 4.06). This suggests the system meets its goals for both user groups. The study concludes that SpotN'Go successfully achieved its goals by creating a web platform that showcases Manila attractions through information, videos, photos, and maps. The researchers recommend further development to promote various tourist spots that will have a positive impact on Philippine tourism and tourist attractions.
Scopus ID: 105030160994
2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2025), pp. 1-5
Conference Paper | Published: December 3, 2025
Abstract
Research on affinity spaces in the Philippines is lacking, namely the subjects-the online communities of vtubers, furries, and fanfiction. As such, the research objective includes to gain a better understanding of these affinity spaces, and implement them to the research's audience through informative explainer videos coupled with a narrative. There is also a digital campaign, and an animated music-video to act as a climax to the aforementioned narrative. The research is conducted in the perceived context of having these affinity spaces largely related to the nature of the multimedia space and contemporary world in general, as well as being related to the study of online community behaviors. Once project context and related literature are gathered, the output commences in production, then a formative evaluation is conducted, followed by a summative evaluation after sampling project demonstrations. The methodology used for the data gathering employs a mixed method approach, with a qualitative approach used mainly for interviews with experts on the fields, and quantitative on surveying the respondents about the project. Purposive nonprobability sampling will be used when dealing with quantitative data, purposive sampling for gathering substantial amounts of information from point persons, and Slovin's formula for unbiased samples respectively. The population sample will be gathered from third year students currently enrolled in the Multimedia Arts from FEU Institute of Technology, while clustering ages 16-25 in gen z. A majority of the data gathered from the evaluations yields satisfactory categories in surveys from summative testing, compared to a lower score on formative, which entails a success when deducing how audiences would learn more about these affinity spaces. Thus far, the research adds available academic information regarding these topics in the Philippine context, to which any interested party may source from.