Facultad de Ingenierías
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Item type:Publication, Ethical Use of Generative Artificial Intelligence Among Ecuadorian University Students(2025); 28 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Academic Performance and Inequality: Can Generative AI Widen the Digital Divide in Higher Education?Higher educationHigher education has undergone a rapid transformation driven by digitalization and the rise of generative artificial intelligenceGenerative artificial intelligence tools, such as Chat Generative Pre-trained Transformer and Copilot. While these technologies offer significant opportunities to support learning processes, they also risk deepening existing inequalities if not implemented under equitable conditions. Many students, particularly those in rural areas or with limited resources, continue to face barriers related to device availability, Internet connectivity, and digital training, which restricts the effective use of generative AIArtificial intelligence and negatively affects academic performance. To analyze this gap and identify possible solutions, a critical narrative review of eighteen academic and technical sources published between 2022 and 2024 was conducted. The review focused on five key areas: access, digital literacy, academic impact, structural inequality, and inclusive strategies. The findings reveal sharp disparities: only 27% of rural students have access to devices compatible with generative AI, compared to 70% in urban settings, and students with strong digital competencies obtain up to 60% greater academic benefit from these tools. These results underscore the urgent need for targeted interventions to avoid exacerbating the digital divide. In response, the study proposes five strategies: ensuring equitable institutional access, strengthening critical digital literacyCritical digital literacy, adopting hybrid pedagogical models, designing inclusive curricula, and promoting dedicated research lines on public policy. The conclusion is that although generative artificial intelligenceGenerative artificial intelligence holds considerable educational potential, its benefits will only be realized if embedded in inclusive ecosystems that guarantee equal conditions, teacher support, and the ethical development of learning. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.8 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Design of a load elevator as a measure to reduce ergonomic risks(2024); ; ; 21 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Interfaces and Usability in Digital Flight Logs: Applied Design in the Aeronautical Context(2026)In Ecuador, the management of flight logs is still predominantly conducted in physical format, representing a significant barrier to operational efficiency and aviation safety. This situation highlights an important gap in the availability of digital solutions specifically designed for the local context and validated with real users. This study seeks to address that gap by designing and validating a user interface focused on user experience (UX) principles, aimed at optimizing the flight logging process and improving information quality. The research adopts a qualitative approach with elements of applied research, structured into four phases: requirements gathering through semi-structured interviews, iterative prototyping using Figma, usability testing with the “think aloud” technique, and heuristic evaluation by UX experts. The sample was intentionally selected and included 12 Ecuadorian civilian pilots (6 in training and 6 professionals), all with experience in using physical logbooks and basic familiarity with digital devices. The results show substantial improvements in process efficiency: a 40% reduction in average data entry time, an average of only 1.2 errors per session, and an average System Usability Scale (SUS) score of 89 out of 100, classified as “excellent usability”. 91% of participants expressed high satisfaction with the developed interface, highlighting its intuitive navigation, visual clarity, and offline usability—an essential factor in contexts with limited connectivity. These findings confirm that applying user-centered design principles can produce highly effective and well-accepted digital solutions, even in technical and regulated sectors such as aviation. The study lays the groundwork for future institutional implementations, emphasizing the importance of integrating co-creation processes with end users and planning progressive training and adoption strategies to ensure successful and sustainable technological change. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Analysis of Urban Transport User Satisfaction in Ambato: Segmented Results from a Target Population(2025); ; ; Fernando Vladimir JuntaUrban public transportation plays a crucial role in the daily mobility of citizens, especially in medium-sized cities like Ambato, Ecuador. This study aims to evaluate user satisfaction levels with different urban transport cooperatives through a data-driven approach. A total of 123 responses were collected via a digitally distributed survey using QR codes, with a methodological focus on individuals aged 20 to 40 due to their higher digital literacy. The questionnaire included dimensions such as comfort and safety, risk perception, and punctuality. The analysis, conducted through Power BI, revealed differentiated levels of satisfaction across service dimensions. Comfort and safety received a mean rating of 41.5%, while risk perception reached 53.8%. Punctuality, evaluated through a single item, showed a favorable perception from 66.7% of users. These findings indicate specific areas of concern, such as perceptions of security and cleanliness, which require attention from transport providers and local authorities. The results provide a scalable model for user satisfaction assessment that can be replicated in other urban contexts. Moreover, the integration of business intelligence tools facilitates evidencebased decision-making and supports future initiatives to enhance urban mobility systems in Ecuador and Latin America. © 2025 IEEE.13 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Perceptions and Dispositions of Parents and Teachers Toward Technological Learning Communities(2023)29 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Predicting Academic Performance in Mathematics Using Machine Learning AlgorithmsSeveral factors, directly and indirectly, influence students’ performance in their various activities. Children and adolescents in the education process generate enormous data that could be analyzed to promote changes in current educational models. Therefore, this study proposes using machine learning algorithms to evaluate the variables influencing mathematics achievement. Three models were developed to identify behavioral patterns such as passing or failing achievement. On the one hand, numerical variables such as grades in exams of other subjects or entrance to higher education and categorical variables such as institution financing, student’s ethnicity, and gender, among others, are analyzed. The methodology applied was based on CRISP-DM, starting with the debugging of the database with the support of the Python library, Sklearn. The algorithms used are Decision Tree (DT), Naive Bayes (NB), and Random Forest (RF), the last one being the best, with 92% accuracy, 98% recall, and 97% recovery. As mentioned above, the attributes that best contribute to the model are the entrance exam score for higher education, grade exam, and achievement scores in linguistic, scientific, and social studies domains. This confirms the existence of data that help to develop models that can be used to improve curricula and regional education regulations. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.39 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Design of a Semi-automatic Dough Mixer for the Prevention of Occupational Diseases in Marzipan ArtisansOlder people, due to the natural aging process, are particularly vulnerable to occupational tasks, as they experience a gradual loss of physical capacities, which increases the incidence of occupational diseases in this population. Despite these challenges, their experience and skills acquired over the years make them a valuable resource for society. This study focuses on designing a semi-automatic dough sheeter for the dough making process used by the artisans of Calderón in Ecuador, who currently carry out this work manually, this practice being an integral part of the local culture. The research began with a detailed analysis of modern manual molders, collecting data on shear force, bending moment, and tensile stress, which are fundamental to the design. Subsequently, a simulation of the design was carried out using SolidWorks software. The result was the creation of a prototype kneading machine equipped with AISI 1050 steel rollers, processed by HR. This device was able to significantly reduce repetitive hand movements, reducing the effort during the kneading process by 25,000 TMU, which translates into improved health and work performance for the artisans. The implementation of this technology reduced the risk of occupational diseases such as bursitis, which is caused by inflammation of the bursae in the joints, and carpal tunnel syndrome, which affects the functionality of the hands. In addition to the physical benefits, this project also addresses the psychological aspect, as many older craftsmen and women feel demotivated due to their diminished ability to perform tasks they used to do in their youth. The research aims to provide a better quality of life for these workers, protecting both their physical health and emotional well-being. In short, the semi-automatic laminator not only improves the working conditions of the Calderon artisans but also preserves and promotes an important cultural tradition, ensuring that these valuable knowledge and skills can continue to be practiced in a safe and sustainable manner.11 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Power Flow Optimization in Electrical Networks using Gekko(2025); ; Riba-Romeva, CarlesPower flow optimization in the electrical grid is critical to improve the stability and performance of power systems. The main challenge lies in finding an optimal distribution of power generation that meets the constraints imposed by the grid, such as voltage limits and power system stability conditions. The objective of this research was to evaluate the performance of Gekko in power flow optimization in electrical grids. To do so, a comparison was made with SciPy, a widely used benchmark framework in numerical optimization in order to assess their relative efficiency in problems with complex constraints. The comparison is based on metrics such as solution accuracy, convergence speed, and number of objective function evaluations. The results showed that both methods achieved the same objective value: SciPy (19.7) and Gekko (19.7). However, SciPy was slightly faster (0.01496 seconds vs. 0.0191 seconds), but required 60 objective function evaluations. In contrast, Gekko demonstrated greater computational efficiency, reducing the number of evaluations required for convergence. While SciPy is more efficient on small problems with explicit constraints, Gekko offers greater flexibility on problems with more complex constraints, making it more suitable for larger power systems.37 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Study of the Influence of Anthropogenic Sources on the Water Quality of the Ambato River, Tungurahua - Ecuador. A Growing Environmental Problem(2022)15