Buele, Jorge
Preferred name
Buele, Jorge
Main Affiliation
Ambato
Email
jorgebuele@uti.edu.ec
ORCID
0000-0002-7556-0286
Scopus Author ID
57200380202
104 results
Now showing 1 - 10 of 104
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Item type:Publication, Advances in end-user water conservation technologies: a scoping review(Frontiers Media SA, 2026-04-15) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Rethinking criminal profiling through cognitive artificial intelligenceIntroduction Traditional criminal investigation often struggles to integrate dispersed and heterogeneous information, delaying the identification of serial or escalating patterns. Advances in artificial intelligence (AI) and cognitive computing offer data-driven approaches for cross-source correlation and temporal anomaly detection. Methods A focused narrative review of peer-reviewed literature on AI applications in forensic analysis, pattern detection, and investigative support was conducted using major multidisciplinary databases. Selected studies were synthesized into two analytical dimensions: evidence correlation and anomaly detection, and further examined through a retrospective case-based illustration. Results AI-based approaches support the linkage of low-level traces with higher-level events, enabling structured reconstruction and large-scale pattern identification. Machine learning models integrate heterogeneous data into operational representations, achieving high predictive performance under controlled conditions, often reported above 90% accuracy. Statistical and learning-based methods also detect temporal compression, behavioral drift, and cross-source anomalies, revealing patterns that may remain fragmented under manual analysis. Retrospective examination of historically fragmented cases highlights longitudinal regularities, including shrinking inter-event intervals, increasing severity, and the accumulation of weak signals that become meaningful when analyzed jointly. Discussion AI contributes primarily at a methodological level by enabling continuous integration and re-evaluation of investigative signals, supporting more data-informed and longitudinally grounded profiling practices. However, a gap persists between high performance in controlled settings and limited validation in real-world contexts. Future research should prioritize empirical benchmarking using operational datasets, the development of explainable and auditable systems, and governance frameworks ensuring transparent, accountable, and human-supervised deployment. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The illusion of flexibility and the limits of teacher autonomy in the Ecuadorian curriculumIntroduction 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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Impact of mixed reality on the care of the elderly: a scoping review(Springer Science and Business Media LLC, 2026-07-06); ; Palacios-Navarro, GuillermoPopulation 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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, System for Monitoring and Warning of the Ultraviolet Radiation Index: A Study Case in Ecuador Elementary Schools(2020); 26 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Robotics in higher education and its impact on digital learningIn recent years, robotics has transformed various industrial processes but has also influenced teaching methodologies. Although there are literature reviews on its application in professional training, many are outdated or lack a current focus on its impact in higher education. Addressing this gap, the present mini review examines the impact, challenges, and opportunities of this technology in the university setting. To this end, a search was conducted in the PubMed, Scopus, IEEE Xplore, APA PsycNet, and Web of Science databases, selecting 11 studies that addressed diverse applications of robotics, including educational robotics, robotic telepresence, human-robot interaction, and artificial intelligence applications. Their effects on teaching, the factors influencing their adoption, and the strategies used to optimize their implementation were analyzed. The findings show that educational robotics enhances student motivation and engagement, with prediction models reaching an accuracy of 98.78% in assessing academic engagement. Additionally, robotic telepresence emerges as an effective alternative for hybrid education, and social robots and AI-based tutors demonstrated their potential to personalize learning. However, methodological and structural challenges persist, such as the need to develop more accurate evaluation metrics and ensure accessibility and educational equity. Future research should focus on improving these aspects, enabling more efficient integration to enhance teaching processes. This study was registered in the Open Science Framework under the code: 10.17605/OSF.IO/KHDTU.57 - Some of the metrics are blocked by yourconsent settings
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, 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, Non-formal Virtual Training Strategies to Promote Entrepreneurship(2025); 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.19 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Support vector machine as tool for classifying coffee beverages(2020); ; 20