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Educational Chatbot for Basic Algebra: An Interactive System to Reinforce Mathematical Competencies in High School Students
(Springer Nature Switzerland, 2026)
Gómez Pérez, Bárbara Catalina
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Chacón-Castro, Marcos
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Valenzuela, María
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Jadán Guerrero, Janio
One of the most common problems experienced by high school students is difficulties in basic algebra. These obstacles often stem from early conceptual gaps that are not detected or corrected in time. Consequently, it is essential to design digital tools that facilitate teaching and learning among secondary school adolescents. The main purpose of this project is to describe the software design of an educational chatbot for basic algebra, detailing the system infrastructure and engineering requirements that support the chatbot, prioritizing its architecture over educational expectations, metrics, achievements, and impacts. Initially, a group of 40 high school students were given an algebra diagnostic test to identify common limitations in basic algebra topics typically taught in the eighth grade. Subsequently, descriptive statistical analysis was conducted on the collected data to assess students’ performance and determine the thematic content for academic reinforcement. The chatbot was developed in Python and Streamlit as the application framework, since this combination allows seamless integration between backend and interface in a single platform. This project, in addition to presenting a data-driven educational solution, also contributes to Sustainable Development Goal 4 (Quality Education) by promoting equitable access to quality learning through technology software architecture for future valuations and continuous improvements. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
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Personalized Tool for the Detection and Prevention of Cyberbullying
(2025)
Yngrid J. Melo
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Fabricio J. LLumiquinga
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Raisa E. Bernal
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Segundo Toapanta
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Eriannys Z. Gómez
The topic of cyberbullying in social networks such as Facebook, X, Instagram and others was analyzed, in addition to the ways and tools to detect it. The problem is that although there are many tools that have been developed to detect and prevent cyberbullying, many do not meet the requirements to adapt to different social groups subjected to any particular type of research. The goal is to develop a customized tool specifically designed to diagnose and prevent cyber- bullying, focusing on tailored functionalities and their effectiveness in various social contexts. The result was a prototype tool to detect cyberbullying. The application was developed for educational and research purposes within 3 institutions, using Python as programming language and integrating several libraries to facilitate web data extraction, data processing and user interface design. It was concluded that the developed tool provides a comprehensive solution for the automated collection and analysis of online comments, with a specific focus on detecting potential cyberbullying cases. This purpose aligns with the growing need to address the problem of harassment and harmful behavior in virtual environments, where early identification and appropriate intervention are critical to ensure the safety and well-being of users
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Boosting Accuracy and Reducing Time in Laser Shooting Practices: Video Processing Solutions for Impact Evaluation
(2024)
David Rivas-Lalaleo
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Víctor Bautista-Naranjo
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Vayas Ortega, Germania
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Erika Iza-Chango
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Pamela Lema-Jumbo
This study explores the most effective method for impact measurement in laser shooting ranges, crucial for security training, accident prevention, and cost reduction. It utilizes video surveillance and image processing algorithms in Python to accurately determine laser impact locations. The research found that employing a single target per silhouette is most efficient, minimizing errors to ±1 impact and enabling heat map generation for feedback. The combination of video surveillance and image processing significantly enhances safety and reduces costs by providing real-time data. The findings advocate for the single target approach due to its precision and the comprehensive insights gained from heat maps, maintaining accuracy within a two-hit margin.
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