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Informe Analítico de Pasantía: Articulación de las Tendencias Globales de la II Cumbre de Visionarios con el Perfil del Magíster en Entrenamiento Deportivo y Actividad Física
(Universidad Santo Tomás, 2026-10-02) Pineda Torres, Bryan Stwart; Bohórquez Campos, Fernando Alberto; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001657895; https://scholar.google.com/citations?user=37AK1kUAAAAJ&hl=en
This report analyzes the learning outcomes obtained through participation in the II Cumbre de Visionarios Bucaramanga 2026 and their connection with the competencies expected of graduates from the Master’s programme in Sports Training & Physical Activity. Based on conferences related to technology and artificial intelligence, leadership, social transformation, innovation, and entrepreneurship, opportunities were identified to broaden the professional perspective of sports training toward an integrated approach involving science, technology, management, and health. The critical analysis focused mainly on the application of technological tools for monitoring and individualizing training, as well as on the importance of leadership and communication in relationships with athletes and interdisciplinary teams, contrasting these insights with scientific literature. The graduate-profile competency most strengthened was the ability to analyze needs and trends, adapt to changing contexts, and formulate innovative solutions based on scientific knowledge. As a knowledge transfer and entrepreneurship proposal, the report presents the enhancement of a digital application designed to promote active breaks and physical activity in workplace settings by integrating exercise prescription, adherence monitoring, and technological tools, together with a phased implementation plan, ethical considerations, and an indicator system. Conclusions are organized according to the stated objectives and are followed by concrete recommendations. This experience demonstrated that future graduates must integrate scientific knowledge with innovation, leadership, and adaptability to respond effectively to emerging needs in sports, physical activity, and well-being.
Transferencia y Adaptación de un Modelo Conceptual de Integración de CDU-Drones para la Logística de Última Milla entre Colombia y Panamá
(Universidad Santo Tomás, 2026-10-01) Amézquita Granados, Andrea Katherine; Bermúdez Callejas, Diana Paola; López Camargo, Óscar David Andrés Julián; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001481189; https://scholar.google.com/citations?user=mxoMu4sAAAAJ&hl=es; https://orcid.org/0000-0002-9905-6498
The rapid growth of e-commerce has increased operational pressure on urban distribution networks, particularly in the last-mile stage, due to traffic congestion, operational constraints, and the demand for shorter response times. This study analyzes the potential transfer and adaptation of a conceptual model for integrating Urban Distribution Centers (UDCs) and delivery systems using unmanned aerial vehicles (drones) in last-mile logistics between Colombia and Panama. The findings suggest that Panama has favorable logistical conditions for UDCs to serve as intermediate nodes, while regulations, airspace security restrictions, and data privacy concerns limit drone operations. Similarly, the study analyzes how a hybrid logistics network (UDC-drones) can reduce dependence on ground transportation in congested areas. Consequently, the study identifies the implementation conditions, barriers, and adaptation requirements for this model, considering the commercial dynamics of the Panamanian hub and the Colombian market.
Modelo de Analítica Académica Basado en Business Intelligence para la Evaluación del Desempeño Estudiantil y el Soporte a los Procesos de Acreditación en Programas de Ingeniería
(Universidad Santo Tomás, 2026-10-01) Páez Casas, Deisy Carolina; González Mancilla, Yenny Marlén; Valencia Niño, Cesar Hernando; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000780774; https://scholar.google.com/citations?user=QSZfHt4AAAAJ&hl=es; https://orcid.org/0000-0001-6838-6980
Academic management and quality assurance in higher education require evidence that shows not only how teaching and learning processes unfold, but also what students actually achieve. The core problem is the limited traceability among the graduate profile, learning outcomes, assessment evidence and improvement actions, made worse by heterogeneous and disconnected information systems. The aim was to develop an Academic Analytics model based on Business Intelligence to turn learning outcome data into evidence for curricular decision-making and accreditation. The study followed a mixed, predominantly quantitative, applied and constructive approach in four phases: literature review, design of the Outcome-Based Education (OBE) model, design of the analytics model, and technological implementation. PRISMA, VOSviewer, constructive alignment, CRISP-DM, Python, Power BI and Lovable were used. The solution combines OBE and Business Intelligence in an architecture that preserves traceability from the curricular structure to academic evidence. It integrates data from the institutional academic system (SAC), Saber Pro tests and professional internships through Python ETL processes, star-schema dimensional modeling and an analytics engine for indicators and alerts, governed by 14 operational rules: eight from the National Accreditation Council (CNA) and six from Universidad Santo Tomás (USTA) institutional guidelines. The proposal was deployed as EvalIA, with Power BI dashboards for curricular analysis, student performance, achievement, academic risk and accreditation, used during the reaccreditation peer review visit (2025-2) and reviewed with the curriculum lead (2026-1). The results show that heterogeneous academic information can feasibly be turned into traceable evidence for curriculum management and quality assurance.
Análisis del uso de Machine Learning como herramienta de optimización en sistemas PLC para procesos industriales inteligentes
(Universidad Santo Tomás, 2026-09-28) Herrera Díaz, Andrés Reinaldo; Becerra Angarita, Oscar Fernando
This paper presents a systematic literature review focused on the use of Machine Learning (ML) as an optimization tool in Programmable Logic Controller (PLC) systems applied to intelligent industrial processes within the context of Industry 4.0. To this end, a critical evaluation of scientific literature is conducted to identify the main applications, benefits, limitations, challenges, and research trends associated with integrating machine learning techniques into PLC-based industrial automation architecture. The results demonstrate that Machine Learning strengthens the capabilities of PLC systems through applications in process optimization, intelligent monitoring, predictive maintenance, and fault detection, leading to greater operational efficiency and improved decision-making.
Informe Analítico de Pasantía: Articulación de las Tendencias de la II Cumbre de Visionarios con el Perfil de Magister en Entrenamiento Deportivo y Actividad Física
(Universidad Santo Tomás, 2026-10-01) Barrera Santana, Elkin Raúl; Hutchison Salazar, Luis Rafael; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000027412; https://scholar.google.es/citations?user=BVeKeA8AAAAJ&hl=es; https://orcid.org/0000-0001-5836-5916
This report aims to interpret the competencies acquired during the 2nd Visionaries Summit—held in Bucaramanga on September 17 and 18, 2026—and their relationship to the graduate profile of the Master’s program in Sports Training and Physical Activity. Insights regarding leadership, communication, social transformation, artificial intelligence, inclusion, habits, decision-making, international business, and high-performance teamwork emerged from notes taken during the two-day conference and the official agenda. Regarding the program's graduate profile competencies, the one most significantly enhanced was the ability to analyze situations in order to formulate solutions grounded in scientific knowledge, social responsibility, and professional judgment. This report employs a qualitative model with a descriptive-interpretive approach, utilizing a case study format focused on a formative experience. Participant observation and reflective journaling—conducted while attending the 2nd Visionaries Summit presentations—served as the primary data collection tools, enabling the creation of matrices that cut across the analyzed themes. This information underwent categorical and hermeneutic analysis to correlate the graduate profile competencies of the Master’s program in Sports Training and Physical Activity with the concepts presented in the sessions attended. Thus, the guiding question arises: How do the thematic areas and emerging trends presented at the 2nd Visionaries Summit enrich, transform, and strengthen the professional competencies and scientific-practical judgment of a Master’s graduate in Sports Training and Physical Activity within the current context? Consequently, the acquisition of new concepts and competencies can be viewed as analytical findings resulting from the systematization of this experience. The scientific discussion focuses on two key areas: the use of AI and data to support sports training monitoring, and the individualized prescription of training loads using objective indicators such as movement velocity. The literature reviewed cautions against relying on metrics or algorithms for automated decision-making. As a practical application, the FARO 360 initiative was developed; this is a functional, twelve-week training intervention plan that integrates an initial assessment, simple load monitoring, periodic goal reviews, and accessible feedback. This proposal aims to translate insights from the summit into a sports practice that is more inclusive, measurable, reflective, and person-centered.