Buele, Jorge

Preferred name

Buele, Jorge

Main Affiliation

Facultad de Ingenierías

Ambato

jorgebuele@uti.edu.ec

ORCID

0000-0002-7556-0286

Scopus Author ID

57200380202

Now showing 1 - 10 of 104

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From simulation to reality: a learning methodology for understanding control systems and robotic arms with the ARCHIE robot
(Frontiers Media SA, 2026-04-10)
Saeteros, Juan
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Mendoza, Erick
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Ramirez, Jefferson
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Fajardo-Pruna, Marcelo
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Buele, Jorge
Bridging the gap between theoretical concepts and real-world implementation remains a critical challenge in the teaching of control systems and robotics. This paper presents an education method using ARCHIE, a low-cost, open-source articulated robot with six degrees of freedom, as an educational platform designed to enhance students’ understanding of control theory through practical learning. The study combines simulation (using MATLAB’s Simscape) with hands-on practice using the physical robot, following a Sim2Real methodology. A two-hour workshop was conducted with undergraduate mechatronics engineering students, incorporating pre- and post-assessments to evaluate learning gains. Preliminary results suggest a statistically significant improvement in students’ understanding of PID control concepts, with average test scores rising from 46.6% to 63.3% (p = 0.0454, two-tailed). The study also highlights the benefits of active learning, allowing students to experience real-world control system behavior and reflect on discrepancies between simulations and physical implementation. ARCHIE proves to be a valuable educational tool for fostering deeper comprehension of control systems in engineering curricula. © 2026 Saeteros, Mendoza, Ramirez, Fajardo-Pruna, Buele, Yumbla and Saldarriaga.
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Advances in end-user water conservation technologies: a scoping review
(Frontiers Media SA, 2026-04-15)
Fernández-Vizcarra, Luis
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Chambilla-Zuñiga, Josué
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Gutiérrez-Aguilar, Olger
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Buele, Jorge
Introduction Water scarcity, intensified by climate change, urbanization, and increasing demand, requires sustainable strategies aimed at reducing consumption among end users. In this context, this article develops a scoping review to examine what types of sustainable technologies aimed at water conservation among end users have been investigated, how they are evaluated, and what types of evidence are reported regarding their effectiveness. Methods Studies published between 2020 and 2025 were retrieved from the Scopus, Web of Science, IEEE Xplore, Wiley Online Library, and EBSCO Engineering Source databases following PRISMA-ScR guidelines. The review integrates a bibliometric analysis of the field and a synthesis of 14 selected empirical studies addressing domestic efficiency technologies, adoption dynamics, digital monitoring systems, and resource management approaches. Results The evidence shows high methodological diversity and limited standardization of effective metrics, as only a small proportion of studies explicitly report quantified or directly measured water savings. Nevertheless, consistent patterns emerge depending on the type of intervention. Circular water management and decentralized reuse strategies report the highest potential impacts, with potable water savings ≥30% through greywater treatment and reductions of up to 80% in integrated urban scenarios. Rainwater harvesting and green infrastructure report runoff reductions between 58.3 and 94.1%, generating indirect benefits for urban water management. In contrast, informational and behavioral interventions tend to produce moderate but consistent reductions in consumption. Digital technologies based on IoT, smart metering, and advanced analytics demonstrate strong technical performance in monitoring and leak detection, although they rarely quantify post-implementation water savings. Conclusion The findings suggest that effective water conservation among end users depends on approaches that combine technological solutions, user engagement, and standardized evaluation frameworks capable of linking technological performance with verifiable reductions in water consumption.
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The illusion of flexibility and the limits of teacher autonomy in the Ecuadorian curriculum
(Frontiers Media SA, 2026-05-21)
Núñez Torres, María Giovanna
;
Buele, Jorge
Introduction Curriculum reforms in Latin America emphasize flexibility, contextualization, and teacher autonomy. In Ecuador, the 2016 curriculum operationalizes these through Skills with Performance Criteria (PC). Methods An analytical–interpretive approach was applied, examining the national curriculum alongside literature on educational governance and critical pedagogy. Results The PC-based structure, with its criteria and indicators, organizes planning, evaluation, and documentation around predefined outcomes. While this promotes coherence, it fragments practice into discrete units. Contextualization occurs in teaching, but validation relies on standardized references, creating tension between adaptation and assessment. Teacher work is structured by planning and verification processes. Discussion Interpreted as controlled freedom, autonomy is recognized but bounded, and flexibility emerges as a practice shaped by technical constraints.
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Impact of mixed reality on the care of the elderly: a scoping review
(Springer Science and Business Media LLC, 2026-07-06)
Avilés-Castillo, Fátima
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Buele, Jorge
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Palacios-Navarro, Guillermo
Population aging requires innovative technological strategies that promote autonomy, functionality, and well-being in old age. In this context, mixed reality (MR), a technology that integrates physical and digital elements in a shared and interactive real-time environment, emerges as a promising alternative. To analyze the current state of evidence on the use of MR in the care of older adults, including its theoretical and practical implications. Scientific articles were reviewed in Scopus, Web of Science, PubMed, IEEE Xplore, and EBSCO. Data from 15 studies were organized into an analytical matrix to identify methodological and impact patterns. MR interventions have shown promising preliminary results in physical rehabilitation, cognitive stimulation, emotional well-being, and social interaction by combining sensory feedback, functional tasks, and meaningful experiences. The included studies represent heterogeneous MR configurations along the virtual reality continuum, including transparent or pass-through optical viewers, VR-HMD-based systems with real-world interaction, and sensor- or projection-based platforms. Rather than demonstrating superiority over virtual or augmented reality, the evidence suggests specific advantages related to contextual awareness, physical interaction, and cognitive-motor-affective integration. These features were associated with potential improvements in mobility, executive functions, motivation, positive emotions, and social presence, supporting an interpretive cognitive-motor-emotional framework and the design of safe, meaningful, and context-sensitive interventions. MR shows promising potential for the care of older adults by improving cognitive, motor, emotional, and social outcomes. However, current evidence remains preliminary due to small sample sizes, methodological heterogeneity, a scarcity of comparative studies, and a lack of longitudinal evidence. © The Author(s) 2026.
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Ethical Use of Generative Artificial Intelligence Among Ecuadorian University Students
(2025)
Buele, Jorge
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Ángel Ramón Sabando-García
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Bosco Javier Sabando-García
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Yánez Rueda, Hugo
Artificial intelligence has transformed educational environments by facilitating processes such as information retrieval, assisted writing, automated feedback, and personalized tutoring. Within university settings, the adoption of technologies capable of autonomously generating content has increased rapidly, becoming a common academic resource for students. However, this accelerated integration poses ethical challenges, particularly when such tools are used without a clear understanding of their implications. This study aimed to examine how students’ emotional attitudes (affective), understanding (cognitive), and practical use (behavioral) of AI relate to their ethical engagement with these technologies. A structured questionnaire was administered to 833 university students in Ecuador. The instrument showed excellent internal consistency (α = 0.992; Ω = 0.992), and the validity analyses confirmed that the dimensions measured distinct but related constructs. ChatGPT was reported as the most used tool (62.2%), followed by Gemini and Siri. The structural model indicated that emotional and cognitive dimensions substantially influenced ethical behavior (β = 0.413 and β = 0.567, respectively), whereas frequent use alone exhibited no significant effect (β = −0.128; p = 0.058). These results suggest that ethical engagement with AI is primarily driven by reflection and knowledge rather than habit. This study contributes to the literature by modeling how different learning dimensions shape ethical behavior in AI use and underscores the relevance of aligning academic practices with socially responsible uses of emerging technologies.
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Perceptions and Dispositions of Parents and Teachers Toward Technological Learning Communities
(2023)
Núñez-Hernández C.
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Buele, Jorge
The search for strategies to improve students’ academic performance is increasingly common in education. Parents’ participation and teachers’ attention are key factors in forming a learning community. This article presents the results of a survey in which relevant statistical data was obtained. A significant association (p = 0.571) was found between the frequency with which parents help their children understand school content and their willingness to be part of a learning community, representing 40.65% of the population. In addition, it was found that 66.67% of parents frequently meet with their children’s teachers because they often solve the children’s doubts. Regarding the attention of teachers, it was evidenced that 64.71% of parents who meet very frequently with teachers do so with those who very frequently resolve children’s doubts effectively, which shows a correlation significant (p = 0.467). Finally, the relationship between the degree of mastery of teachers in learning management platforms and their participation in forming learning communities was analyzed. A significant correlation (phi = 0.321) was found between the degree of mastery of teachers in these platforms and their participation in the formation of learning communities, with 28.24% of teachers having sufficient mastery and 20.61% of those with a moderate domain. These findings highlight the importance of parent-teacher collaboration in fostering a culture of learning in school and improving student academic achievement. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
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Analysis of Ergonomic Risks Based on Physical and Postural Characteristics in the Food Industry
(2026)
Buele, Jorge
Musculoskeletal disorders are one of the leading causes of occupational disability worldwide, affecting workers across various industries, particularly in the food industry. These disorders are caused by factors such as improper postures, repetitive movements, and manual handling of loads. Despite efforts to mitigate these risks, ergonomic assessment in many work environments remains insufficient, as it is often limited to posture observation and does not include precise anthropometric measurements. This study aims to integrate anthropometric measurements with the Rapid Entire Body Assessment method for a more accurate and personalized evaluation of ergonomic risks in the food industry. Through a quantitative approach, anthropometric measurements of workers in a food production plant were analyzed and the Rapid Entire Body Assessment method was applied to assess working postures. The data obtained were statistically analyzed to identify correlations between the physical characteristics of employees and musculoskeletal discomfort. The results showed a significant correlation between anthropometric dimensions, such as elbow height and functional reach, with discomfort in areas such as the elbow, knees, and lower back. These findings emphasize the need to adapt workstations to the physical characteristics of employees to prevent injuries. The integration of anthropometric measurements and the Rapid Entire Body Assessment method provides a more accurate tool for assessing ergonomic risks and designing personalized interventions that improve occupational health and productivity in the food industry. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
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Virtual environment application that complements the treatment of dyslexia (VEATD) in children
(2020)
Buele, Jorge
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López, V.M.
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Varela Aldas, José
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Soria, A.
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Palacios-Navarro, G.
The educational disorders that children present at an early age can cause them to not fully develop throughout their lives. In this research work a 3D virtual system that allows the child who has been diagnosed with dyslexia to complement the exercises performed in a conventional therapy is described. To achieve this an application was developed, the app consists of two games (each with three levels of difficulty), and that are part of the rehabilitation program. In each of these games virtual objects are combined with auditory messages to provide the user with an immersive experience, and to train more than one sense at a time. In the first game task, the activity asks the children to correctly locate the syllables that compose a word and for the second activity the children will listen to a word, after the games asks the children to select the correct word. This tool has been tested by a group of children (eight), with ages ranging from 8 to 12 years old, whose development can be supervised at home by their parents, since it is an intuitive and easy to use interface. The results obtained are stored in a database and in this way the medical specialist can monitor the progress of the child throughout his treatment. For the validation of this proposal the SUS usability test was used. © Springer Nature Switzerland AG 2020.
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Non-formal Virtual Training Strategies to Promote Entrepreneurship
(2025)
Mónica Naranjo-Costales
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Núñez Hernández, Corina
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Buele, Jorge
In the current context, entrepreneurship requires extensive knowledge for proper development. In Latin America, the lack of expertise in areas such as marketing and financial management leads to a high rate of business failure. This study addresses this issue by implementing a virtual learning environment called Emprende Virtual, designed to promote sustainable entrepreneurship through masterclasses and practical activities. The methodology used was a quantitative approach with an experimental design. A total of 59 participants were divided into two groups: an experimental group that received training through the digital resource of the virtual environment and a control group that received no intervention. Pre- and post-test surveys were conducted to measure the impact of the virtual learning environment on the participants’ entrepreneurial attitude, knowledge and skills. The results showed a significant improvement in the experimental group compared to the control group, especially in areas such as educational technology, innovation and entrepreneurship, and business management. This demonstrates that the strategy not only facilitates access to education but also contributes to the development of essential skills for business success, promoting sustainability and economic growth. Despite limitations such as the lack of geographical representativeness and variability in prior experience, the VLE proves to be an effective tool for developing entrepreneurs in the region.
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Support vector machine as tool for classifying coffee beverages
(2020)
Varela Aldas, José
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Fuentes, E.M.
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Buele, Jorge
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Meló, R.G.
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Barat, J.M.
Classifiers are tools widely used nowadays to process data and obtain prediction models that are trained through supervised learning techniques; there is a wide variety of sensors that acquire the data to be processed, such as the voltammetric electronic tongue, as a device employed to analyze food compounds. This paper presents a normal and decaffeinated coffee beverage classifier using a Support Vector Machine with a linear separation function, detailing the classification function and the model optimization method; to train the model, the data measured by 4 electrodes of a voltammetric tongue that is excited by a predetermined sequence of positive pulses is used. In addition, the results graphically show the measurements obtained, the support vectors and the evaluation data, the values of the classifier parameters are also presented. Finally, the conclusions establish an acceptable error in the classification of coffee drinks according to caffeine presence at the sample analyzed. © Springer Nature Switzerland AG 2020.
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Buele, Jorge

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