Recent research:
This consolidated abstract presents a cohesive narrative of the researcher’s work across education, technology-enabled learning, and applied optimization. The first strand investigates biosignal learning within STEM education, proposing a STEM-based methodological framework that leverages tangible resources, interactive prototypes, and co-design/co-evaluation to strengthen digital literacy, resource reuse, and pedagogy for emerging professional needs. The second strand examines youth association and its transformative role in the socio-educational landscape post-pandemic, highlighting challenges such as increased inequalities, school dropout, and youth unemployment, while integrating ethical, ecological, spiritual formation, and the use of technology in education to address these issues. The third strand applies nonlinear optimization to a practical telecommunications problem: determining the optimal LoRaWAN base station location using sensor geometry, urban/rural coverage parameters, and historical coverage error factors to demonstrate feasibility and improved placement. Together, these works illustrate a thematic emphasis on leveraging technology-enhanced pedagogy, inclusive educational practices, and data-informed optimization to improve learning outcomes, accessibility, and operational efficiency in diverse contexts. The overarching impact is to guide future research and practice toward holistic learning experiences, digital competencies, platform design, and performance benchmarking in education and beyond.