Jadán Guerrero, Janio

Preferred name

Main Affiliation

Centro de investigación en Mecatrónica y Sistemas Interactivos

Quito

janiojadan@uti.edu.ec

ORCID

0000-0002-3616-2074

Scopus Author ID

56267555100

Now showing 1 - 10 of 140

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Interdisciplinary Perspectives on FinTech and Blockchain in Cryptocurrency Platforms: A Systematic Literature Review on Accessibility, Usability, and Digital Inclusion
(Springer Nature Switzerland, 2026)
Arias Flores, Hugo Patricio
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Luis-Chinchilla, Jose
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Jadán Guerrero, Janio
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Calle-Jimenez, Tania
According to recent studies, the application of agile methodologies in the development of cryptocurrency platforms can increase efficiency in improving accessibility and usability in digital financial systems by up to 35%. This study conducts a systematic literature review on the integration of FinTech and blockchain technologies, with a particular focus on accessibility and usability in digital platforms. Based on the PRISMA 2020 framework, indexed publications from the Scopus database published between 2021 and 2025 were analyzed. The results reveal a sustained growth in scientific output, especially during the period 2023–2025, with a notable concentration of publications from countries such as Malaysia, Spain, and Ukraine. The main contributing fields include business, computer science, and economics, reflecting the interdisciplinary nature of the topic. Furthermore, the findings highlight the role of FinTech and blockchain in modernizing financial services, improving transactional efficiency, and supporting the achievement of the Sustainable Development Goals (SDGs), particularly those related to environmental sustainability and digital inclusion. Finally, the study recommends expanding future research to include multiple databases and additional keywords in order to generalize the findings and deepen the understanding of the impact of these emerging technologies. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
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Bridging Two Worlds: Sensor Technologies and AI for Fruit Detection in Latin America and Beyond—A Scoping Review
(MDPI AG, 2026-08-10)
Parrales-Bravo, Franklin
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Gracia-Chinga, Joan
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Jadán Guerrero, Janio
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Vasquez-Cevallos, Leonel
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Cevallos-Torres, Lorenzo
This scoping review synthesizes 35 studies on sensor technologies and artificial intelligence for fruit detection, classification, and quality assessment, contrasting Latin American and international research traditions. The analysis suggests notable differences in technological approaches between the included Latin American and international studies: Latin American research tends to emphasize in developing accessible, practical solutions using classical computer vision and low-cost hardware, while international studies more frequently employ through deep learning architectures, multi-modal sensing, and complete robotic automation systems. Across the included studies, relatively limited attention was given to AI-assisted decision support for agricultural practitioners, insufficient consideration of inclusivity, and the scarce integration of environmental sustainability into intelligent sensing system design. The review identifies that only 8 of 35 studies originate from Latin America, suggesting an uneven geographical distribution of the available evidence. The included studies generally reported high accuracy values, yet these findings must be interpreted with caution given the reliance on curated datasets that may not represent real-world variability. The reviewed evidence suggests that future research may benefit not from one approach dominating the other, but from a thoughtful integration of complementary strategies, including knowledge transfer, edge computing democratization, and human-centered design. Overall, this review suggests that the ultimate goal extends beyond accuracy metrics to the transformation of agricultural practices that enhance food security, economic development, and environmental sustainability across the global agricultural landscape. It is important to note that this work does not propose or validate a new fruit detection algorithm but rather synthesizes and critically evaluates existing scientific evidence regarding sensor technologies and artificial intelligence applied to fruit detection and quality assessment. © 2026 by the authors.
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Designing the UI/UX of a Gamified Platform to Raise Awareness About Water Conservation Using the User-Centered Design Method
(Springer Nature Switzerland, 2026)
Jadán Guerrero, Janio
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Arias Flores, Hugo Patricio
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Piedra Ansatuña, Mario
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Sanchez-Gordon, Sandra
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Acosta-Vargas, Patricia
Water conservation and responsible usage are critical to ensuring the sustainability of life on Earth. Raising awareness about these practices is essential to fostering behavioral changes in everyday life. This study aimed to design a gamified environment, integrating both digital and physical mediums, to promote awareness of water conservation. The proposed solutions included digital games, board games, interactive maps, and card games, blending entertainment with education. The research employed the Game Thinking methodology, involving ten master’s students specializing in user experience design. The process adhered to the principles of user-centered design across all phases. Initially, the problem of water scarcity was explained to participants, who subsequently proposed design concepts tailored to this issue. These concepts were developed into prototypes and tested with users representative of the intended age groups. Preliminary results from the first usability tests revealed areas for improvement. Feedback from peer reviews highlighted the need to enhance narrative elements, interface design, usability, and accessibility. Iterative refinements based on this feedback significantly improved the prototypes’ alignment with the project’s educational objectives. In conclusion, the study demonstrated the potential of gamification as a powerful tool for promoting water conservation awareness. Future work will focus on completing functional prototypes and evaluating their impact in real-world settings to measure their effectiveness in instilling responsible water usage behaviors
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FLAG: Fatty Liver Awareness Game for Liver Health Literacy in Last-Semester Software Engineering Students
(MDPI AG, 2026-05-01)
Parrales-Bravo, Franklin
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Borbor-Albay, José
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Jadán Guerrero, Janio
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Vasquez-Cevallos, Leonel
Non-alcoholic fatty liver disease affects approximately thirty percent of the global population, yet public awareness remains dangerously low among young adults facing occupational risk factors. This study introduces the Fatty Liver Awareness Game (FLAG), an educational serious game designed to improve liver health literacy among software engineering students at the University of Guayaquil. While evaluated with this specific sample, FLAG is intended for the broader target population of young adults in developing nations who face occupational sedentary risk and limited access to preventive health education. Through a controlled experiment with fifty participants randomly assigned to game-based or traditional lecture instruction, the game demonstrated superior effectiveness, with a twenty-percentage-point advantage in post-test scores and a seventy-two percent reduction in incorrect responses compared to fifty percent in the lecture group. The large effect size (Cohen’s d = 1.43) and reduced performance variability among game participants indicate that interactive, feedback-rich learning environments can outperform passive instruction for this population and content domain. While the present design does not isolate the contribution of individual game elements—such as narrative framing, explanatory feedback, or mini-game interleaving—the results establish FLAG as a replicable model for digital health interventions targeting underserved populations at critical developmental junctures. Future component analyses are needed to determine which specific design features drive the observed advantages. © 2026 by the authors.
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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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Enhancing Decision-Making Through Human–AI Synergy in Smarter and Fairer Recruitment
(Springer Nature Switzerland, 2026)
Godínez-Oliva, Carmen
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Pusey-Alvarado, Luis
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Díaz-Álvarez, Nelson
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RUBIO PROAÑO, Andrès
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Jadán Guerrero, Janio
The digitalization of recruitment processes has paved the way for the integration of artificial intelligence (AI) into hiring, transforming how organizations identify and select talent. According to a McKinsey [7] report, the use of AI has significantly reduced hiring times by automating résumé screening and candidate preselection. However, a key question arises: does this efficiency also translate into better candidate quality, reflected in performance and retention rates? This study seeks to answer the following question: how does the use of AI systems in résumé analysis impact the reduction of recruitment time and the improvement of candidate quality, as measured by the retention rate after two months? The main objective is to evaluate how the implementation of AI in selection processes influences both the speed and quality of hiring. This research is relevant because it provides empirical evidence about the benefits and limitations of AI in recruitment, allowing organizations to make more informed decisions regarding its adoption. A literature review was conducted to explore the topic from different perspectives. Preliminary findings indicate that AI can streamline processes, improve selection accuracy, and reduce bias, although concerns remain regarding algorithmic transparency and fairness. The study adopts a mixed-methods approach: in the quantitative phase, traditional and automated processes are compared in résumé analysis, psychometric testing, and interviews, measuring hiring times and retention rates. In the qualitative phase, recruiters were surveyed to gather their perceptions about the use of AI in decision-making. Preliminary results suggest a significant reduction in hiring times but similar retention rates between traditional and AI-assisted methods. Consequently, a hybrid recruitment model is proposed, in which the synergy between humans and intelligent systems strengthens decision-making, promoting more efficient, transparent, and equitable selection processes. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
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Brightman: A Digital Platform for Enhancing Creative and Logical Skills
(Springer Nature Switzerland, 2026)
Jadán-Guerrero, Marco
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Viera-Estupiñan, Martha
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Guerrero-Garcés, Aida
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Jadán Guerrero, Janio
In Ecuador, traditional education remains largely based on rote memorization, limiting the development of critical and creative thinking skills. International assessments such as PISA-D show that while students can perform mechanical tasks, they struggle with real-world problem-solving and abstract reasoning. To address this gap, Brightman was developed as a digital platform aimed at strengthening logical and creative thinking in children and adolescents through gamified learning experiences. Brightman offers an inclusive and scalable alternative that shifts learning from repetition toward cognitive agility, strategic reasoning, and creative expression. Its development followed a mixed-method approach integrating pedagogical theory, user-centered interaction design, and data-driven performance analytics. The platform was implemented nationally during the First Marathon of Brilliant Minds, reaching over 1,500 students, with 134 participating in competitive tournaments and 34 advancing to final stages. System-generated metrics—including accuracy, response time, and progression rates—demonstrated measurable improvements in problem-solving performance, student motivation, and self-perceived creativity. Despite challenges in introducing digital innovation within rigid educational systems, Brightman provides insights for policymakers and educators seeking more adaptive, learner-centered models. Beyond a digital tool, it represents a movement to reclaim creativity as a teachable and essential 21st-century skill. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
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Generative AI in Higher Education: Bridging Research, Ethics, and Curriculum Innovation
(2025)
Susana A. Arias
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Robert Vaca Alban
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Luis Arias Villaroel
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Jadán Guerrero, Janio
In this paper we explore integrating generative AI methods into educational frameworks, and its potential to increase accessibility, the point of view, to foster} critical thinking, and to force re-evaluation by both educator and learner educator and learner alike. An extensive review of the research trends, key players and thematic areas suggest that machine learning, data science, and applied computing are the key drivers behind generative AI in education. To help promote responsible use, we discuss some ethical questions like fairness, transparency, and bias reduction. By matching technological innovations with educational goals, this study provides tangible suggestions for curriculum design, faculty development, strategic alliance development, assisting educational practice to be transformed by AI in the current academic environment.
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Geo-colonizing Mars: A fun way to raise awareness about environment caring and teach Geometry
(2021)
Arroyo-Cruz L.
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Chacón-Castro M.
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Jadán Guerrero, Janio
The technological boom in which we are immersed has caused the game rules in education to change to adapt to the new educational needs demanded by society. An increasingly digital age, where speed, change and transformation have become its fundamental characteristics. This article describes a pedagogical strategy that integrates elements, dynamics and games' mechanics in order to increase motivation in learning geometry, making it more active, lasting, meaningful and fun for Primary Education students. This proposal is based on a Breakout called Geo-Colonizing Mars, an immersive game that includes problem solving activities, experimentation, debates, and research related to geometry. The immersion is supported by a narrative that raises awareness about environment caring through videos and interactive material developed with Genially, Kahoot, Edpuzzle and Flippity. To evaluate this proposal, an intervention was carried out with 51 6th year Primary Education students from a public institution in Spain. The results showed a motivational change that led to a proactive attitude towards learning, collaborative work and problem solving. © 2021 ACM.
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Exploring Validity and Reliability in Cognitive Skills Assessment: A Comprehensive Dataset on Critical Thinking, Creativity, and Problem-Solving
(2025)
Ximena Cumanda Miranda Lopez
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T. Susana A Arias
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Jose Luis Aguirre
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Jadán Guerrero, Janio
Economic models are essential in guiding national development. This research introduces a fundamental regression model that utilizes clustering methods to systematically group economic categories based on differences in investment levels and time frames. The findings deepen the comprehension of minimal investments and their associated timelines, offering insights that may assist in the economic modeling relevant to the equatorial region
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Jadán Guerrero, Janio

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