FEU Institute of Technology

Educational Innovation and Technology Hub

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Ronel F. Ramos

24 Publications
Empowering Educators: A Framework for Cultivating AI Literacy and Digital Competence in Teacher Training Programs

2025 2nd International Conference on Artificial Intelligence and Teacher Education (ICAITE), (2025), pp. 249-253

Conference Paper | Published: December 9, 2025

Abstract
With the upcoming changes brought about by Artificial Intelligence (AI) to the field of education, teaching AI literacy and digital competency to educators has emerged as an imperative. Based on proposed and empirically-supported research, this paper outlines a multi-level training model that is aligned to Sustainable Development Goal 4: Quality Education and where the AI awareness and pedagogical integration is placed as a basis. Through this proposed model that adopts a multimethodological approach comprising a review of relevant literature and surveys and interviews among educators, major milestones regarding the implementation of vital training competencies among teachers before and after being hired have been discovered. These facts reveal that when it comes to awareness of tools available, high-level awareness has been discovered to exist among them but when it comes to confidence and preparedness in ethical practices, poor awareness has been observed.
SPOTN'GO: An Interactive Web-Based Promoting for Best Places to Go in the City of Manila

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.
Unpacking Freshmen Aspirations and Expectations in Their Enrolled College Degree Programs: A Sentiment Analysis Approach

2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2025), pp. 1-6

Arlene Mae C. Valderama, Amelita H. Ortiz, ... Manuel B. Garcia Manuel B. Garcia

Conference Paper | Published: December 3, 2025

Abstract
The decision to select a college degree program plays a fundamental role in shaping students' academic and professional futures. While much research has examined the factors affecting students' choices prior to enrollment, fewer studies have explored their perceptions and expectations after they have entered their chosen programs. This study seeks to bridge this research gap by investigating the visions and aspirations of freshmen using natural language processing techniques. The textual analysis involves text tokenization, word frequency counts, visual representation of data through word clouds, and sentiment classification. The findings suggest the demand for tailored academic support and curriculum development that align with the specific aspirations of students in different disciplines. Overall, this study contributes to the growing literature on student decision-making and expectations of degree programs, while demonstrating the value of sentiment analysis as a tool for understanding students' academic trajectories.
Microsoft Copilot as an AI Teaching and Learning Assistant: Advancing Accessible Coding Education for SDG 4

2025 2nd International Conference on Artificial Intelligence and Teacher Education (ICAITE), (2025), pp. 260-265

Ronel F. Ramos Ronel F. Ramos , Jonathan Campogan Morano, ... Myrtel Sarmiento Bernardo

Conference Paper | Published: January 1, 2025

Abstract
Artificial Intelligence (AI) is reshaping teacher education by providing intelligent tools that enhance pedagogy, student learning, and accessibility. This study explores how Microsoft Copilot, an AI-powered learning assistant, supports both teachers and students in integrating accessibility-focused coding into IT education. By assisting with debugging, code recommendations, and inclusive design principles, Copilot strengthens teachers' digital competence and helps students gain confidence in developing equitable digital solutions. A quantitative survey of Filipino IT instructors and students assessed awareness, adoption, and confidence in using Copilot for accessibility-oriented coding. Statistical analyses, including correlation and confidence interval testing, validated the results. Findings suggest that Copilot not only improves coding efficiency but also supports teachers in embedding accessibility concepts into their instruction—contributing to inclusive and innovative teaching models.
Correlating Teacher Facilitation Strategies with Student Engagement in AI Chatbot-Supported Asynchronous Learning Environments

2025 2nd International Conference on Artificial Intelligence and Teacher Education (ICAITE), (2025), pp. 120-125

Ronel F. Ramos Ronel F. Ramos , Angelo C. Arguson Angelo C. Arguson , ... Roland A. Calderon

Conference Paper | Published: January 1, 2025

Abstract
This paper investigates the effects of facilitation approaches of teachers on the engagement of the students in the asynchronous learning environment mediated by the AI chatbots. Though the chatbots provide the benefits of immediate feedback, personality-based feedback, and constant interaction, the outcome of the educational technology is largely dependent on the facilitation approach of the teachers. With the mixed-methods correlational approach, the study collected the data related to the usage logs of the chatbots, sentiment, scores of the quiz, and facilitation inputs with 100 undergraduate IT majors and 20 teachers. The results show that the engagement of the chatbot (r=.74,β=.45), emotional sentiment (r=.66,β=.33), and facilitation inputs of the teachers (r=.61,β=.29) are all reliable predictors of academic performance, together explaining the collective variance of approximately 65% for the scores of the quiz. The results of the study provide evidence on the complementary effects of human facilitation to optimize the effects of AI-facilitated learning. Furthermore, this study also promotes Sustainable Development Goal 4 (SDG4) to provide inclusive, effective, and quality learning for the users through the collaboration of human and AI resources.
Impact Assessment of ChatGPT and AI Technologies Integration in Student Learning: An Analysis for Academic Policy Formulation

2024 6th International Workshop on Artificial Intelligence and Education (WAIE), (2024), pp. 87-92

Conference Paper | Published: January 1, 2024

Abstract
The adoption of innovative technologies is critical for improving teaching practices and student learning outcomes. Among these, artificial intelligence (AI) is emerging as a transformative tool capable of reshaping traditional educational paradigms. ChatGPT, a sophisticated language model developed by OpenAI, offers numerous opportunities for educators to enhance pedagogical effectiveness and streamline lesson preparation processes. This study explores the efficacy of ChatGPT in lesson preparation by surveying and interviewing teachers at Dr. Josefa Jara Martinez High School in the Philippines. It aims to understand their attitudes towards and experiences with integrating ChatGPT into their teaching practices. Despite the promising potential of AI in education, the adoption of such technologies in the Philippines faces significant barriers, including limited awareness, access issues, and concerns about technology integration. The findings reveal that while teachers recognize the benefits of using ChatGPT, such as improved efficiency and personalized instruction, challenges like lack of training and ethical concerns remain prevalent. The study underscores the need for comprehensive professional development programs and robust ethical guidelines to support the effective and responsible use of AI tools in education. The results show that teachers have a wide range of opinions, but many of them agree that ChatGPT has the potential to make lesson planning easier, offer individualized learning resources, and keep students interested in class. On the other hand, issues with consistency with curriculum requirements, dependability, and general efficacy were also apparent. The study sheds light on the challenges associated with integrating AI into education and makes recommendations for professional development, focused assistance, and ethical considerations to help high schools adopt AI technologies responsibly. Teachers can optimize learning experiences, improve teaching effectiveness, and give students the tools they need to succeed in the digital age by tackling these issues and utilizing AI's transformative potential.
Digital Governance Enterprise-Level Platform Using Agile Software Methodology and Technology Acceptance Model

2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2024), pp. 1-6

Ronel F. Ramos Ronel F. Ramos , Ace C. Lagman Ace C. Lagman , ... Leah D. Sansano

Conference Paper | Published: January 1, 2024

Abstract
The Technology Acceptance Model (TAM) serves as a foundational framework for assessing user acceptance of emerging technologies, particularly in organizational settings. In education, digital governance has become a transformative tool for enhancing operations within State Universities and Colleges (SUCs). However, many SUCs face challenges due to their reliance on commercial applications that lack the capacity for comprehensive and accurate reporting. To address this issue, the researcher developed an enterprise-level information system tailored to integrate research, teaching, and extension functions for SUCs in the Philippines. Utilizing the Agile Development Model, which emphasizes iterative progress through continuous improvement, the study employed a descriptive developmental approach to system creation and evaluation. The TAM criteria guided the evaluation process, resulting in an overall weighted mean of 3.55, interpreted as “Acceptable.” While the system has been positively received, the findings highlight the need for further refinement to optimize its effectiveness. Despite this, the system is strongly recommended for deployment in SUCs, as it offers a comprehensive, customizable solution for enhancing digital governance in higher education. This study underscores the importance of applying frameworks such as TAM to evaluate and refine technological innovations, ensuring their alignment with organizational needs and their contribution to improving digital governance within SUCs.
Effective Lesson Planning and Assessment Design Using Leveraging Microsoft Copilot Implementation

2024 IEEE 15th Control and System Graduate Research Colloquium (ICSGRC), (2024), pp. 331-336

Ronel F. Ramos Ronel F. Ramos , Roman M. De Angel Roman M. De Angel , ... Jocelyn C. Enrile

Conference Paper | Published: January 1, 2024

Abstract
This study explores the beneficial uses of Microsoft Copilot as a support tool for Baliwag Polytechnic College instructors' lesson planning and activity design. Researchers evaluate the influence of Copilot on the creation of instructional content by examining the experiences and opinions of educators. The study demonstrates the advantages, difficulties, and opportunities for customization that come with incorporating Copilot into the curriculum. The results indicate that Copilot can significantly improve the effectiveness and caliber of lesson design, but also highlight certain implementation issues. This research offers insights into the future of technology-enhanced education and contributes to the expanding body of research on AI-assisted teaching strategies.
Waste Management Scheduling Using Optimization and Decision Support Algorithms

2024 IEEE 15th Control and System Graduate Research Colloquium (ICSGRC), (2024), pp. 222-226

Jayson A. Batoon, Sheryl May D. Lainez, ... Victor D. Dorongon

Conference Paper | Published: January 1, 2024

Abstract
This project was pushed through to engage people towards proper waste collection, through the utilization of mobile devices of the communities in different municipalities. The study aims to develop and implement a sustainable and efficient waste management collection system by informing the residents of the garbage truck collection schedule available on their mobile devices. Additionally, the platform utilizes optimization and decision support algorithms, including queuing algorithms, to receive and review complaints efficiently. The researcher employed an incremental software development methodology, allowing the software to be developed and tested even when requirements are still evolving. The study is descriptive-correlational, as it involves evaluating the developed system based on feedback from expert respondents. The evaluation yielded an overall mean performance score of 4.75, interpreted as “Strongly Agree,” indicating that the system is well-prepared for deployment.
Stella Vee: An Isometric Action-Adventure Video Game Raising Awareness of Issues Surrounding Intellectual Property and Copyright

2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2023), pp. 1-6

Isaac D. Isles, Armand Gabrielle T. Castro, ... Manuel B. Garcia Manuel B. Garcia

Conference Paper | Published: January 1, 2023

Abstract
The surge in the digital arts industry has brought forth critical challenges related to intellectual property (IP) and copyright protection. This paper introduces “Stella Vee,” an innovative isometric action-adventure video game developed to illuminate these pressing issues. Stella Vee immerses players in scenarios that mirror the trials faced by artists grappling with intricate IP dilemmas. This project not only presents Stella Vee but also extracts instrumental theoretical, practical, and technical insights cultivated from its evaluation. First, theoretical insights delve into player engagement and the role of visual aesthetics in gaming. Then, practical recommendations guide game developers in enhancing visual design as well as refining user interface (UI) and control mechanisms. Finally, on a technical level, implications extend to UI development and input method refinement. Within the confines of this game project, we aim to provide insights into the development of captivating, instructive, and user-centric video games poised to confront the paramount challenges surrounding IP and copyright preservation in our burgeoning digital epoch.

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