Conference Agenda

Costa Rica, through an analysis of the academic performance of its students, where the data used spans the years 2020 to 2024. It also analyzes relevant documents to gather information on the topic of the gender gap and studies conducted at the national level that consider aspects of academic performance between men and women, as well as key documents from international organizations such as the OECD and sectoral analyses of the Millennium Development Goals (MDGs) and the Sustainable Development This study examines the gender gap in Science, Technology, Engineering, and Mathematics (hereinafter STEM) careers at Universidad Latina of Costa Rica, through an analysis of the academic performance of its students, where the data used spans the years 2020 to 2024. It also analyzes relevant documents to gather information on the topic of the gender gap and studies conducted at the national level that consider aspects of academic performance between men and women, as well as key documents from...

This article examines the impact of the community project Desarrollo acuícola y uso de TICs en la Unidad Educativa Fiscal del Milenio Enrique López Lascano, Fase 2, implemented by ESPOL as part of pre-professional community service internships in 2024. Executed by Electronics and Automation Engineering and Telecommunications Engineering students under the guidance of faculty from the Faculty of Electrical Engineering and Computer Science (FIEC) at ESPOL, the project addressed the lack of technical training in Santa Lucía, Ecuador.

The initiative aimed to teach basic electronics, programming fundamentals, and automation to Ninth-Year General Basic Education (EGB) and Second-Year Unified General Baccalaureate (BGU) students. Participants developed real-world technological solutions, including an RFID-based access control system, automated car control, smart traffic lights, automatic trash bins, fire alarm systems, and internet-connected greenhouse monitoring.

A diagnostic assessment revealed students' limited knowledge but strong interest in these fields. In response, in-person sessions combined theoretical classes with Project-Based Learning (PBL), where ESPOL students acted as instructors. The project concluded with an academic fair where students presented their work, demonstrating their acquired knowledge and strengthening practical and communication skills.

To assess the project's impact, student satisfaction and knowledge acquisition were evaluated, revealing a significant improvement in their understanding of electronics, programming, and automation. The project also served as a motivational tool, inspiring students to pursue careers in science, technology, engineering, and mathematics (STEM).

The Internet of Things (IoT) has emerged as a transformative technology with the potential to revolutionize agriculture. By connecting devices and sensors, IoT enables real-time monitoring and control of several agricultural parameters, including soil moisture, temperature, and crop health. This research delves into the application of IoT and edge computing in agriculture, focusing on enhancing precision, sustainability, and scalability in the Internet of Agricultural Things (IoAT).
The study explores diverse range of IoT devices and communication protocols employed in agricultural settings. These technologies facilitate data collection, processing, and analysis, enabling informed decision-making and optimizing resource utilization. Using advanced techniques such as machine learning and artificial intelligence, IoT-powered systems can predict crop yields, detect diseases early, and automate irrigation and fertilization processes.
The findings of this research highlight the significant impact of IoT on agricultural productivity and sustainability. By reducing manual labor, minimizing resource wastage, and improving crop quality, IoT contributes to a more efficient and environmentally friendly farming system. Moreover, the integration of edge computing enables real-time data processing and analysis, reducing latency and enhancing system responsiveness.
Integrating IoT and edge computing offers a promising future for agriculture. By harnessing the power of these technologies, farmers can optimize their operations, increase yields, and mitigate the challenges posed by climate change and resource scarcity. Continued research and development in this field are essential to unlock the full potential of IoT and ensure a prosperous and sustainable agricultural future.

This work deals with the design and implementation of a D-STATCOM prototype, designed to compensate the power factor to an optimal value. Initially, the design was based on previous research and to improve its performance additional functions were introduced. Control strategies were designed, tested and implemented. The results of the connection to the power line at full load were tested. Finally, the results demonstrate the relationship between increasing the inverter stage of the prototype above the power line, obtaining a variable capacitor that adjusts the power factor.