Diseño de propuesta comunicativa para el fortalecimiento de los ambientes educativos, a través de la implementación del modelo comunicativo de Roman Jackobson en la institución educativa Carlota Sánchez

La estructuración de este trabajo de grado se basó en el análisis de una problemática comunicativa que se presenta en un ambiente de aprendizaje de la INSTITUCIÓN EDUCATIVA CARLOTA SANCHÉZ; allí se pudo evidenciar la necesidad de plantear nuevas formas para abordar metodologías tradicionales de aprendizaje como lo son en este caso las exposiciones orales. Los estudiantes de esta institución evidencian un proceso de comunicación característico del modelo de Lasswell, donde los protagonistas del acto comunicativo no tienen un interés por generar una retroalimentación, es decir, se da de forma lineal, especialmente en las exposiciones orales. Esta problemática se pudo determinar por la aplicación de algunas herramientas de recolección de datos. Resulta pertinente encontrar una forma de afectar el ambiente educativo que en este caso se propone a través del modelo de Jakobson, el cual estudia las funciones del lenguaje y los factores de la comunicación. En todo este transcurso se explica el proceso que se llevo a cabo durante el desarrollo de la propuesta metodológica que tiene como propósito afectar un ambiente educativo, teniendo en cuenta lo que dice Jakeline Duarte: “ambiente educativo no se limita a las condiciones materiales o espaciales, ni a la relación docente- estudiante” por ende los factores que inciden son diversos así como las formas de modificarlo, por consiguiente, la propuesta es un diseño comunicativo para enriquecer un ambiente de aprendizaje

Mi Reforzamiento, sesiones virtuales de reforzamiento para niños de primaria según el método ABP

La presente tesis presenta un modelo de negocio que atiende un problema complejo y socialmente relevante. Según datos del Ministerio de Educación, el 51% de los niños de primero y segundo grado de primaria presentan dificultades para lograr los objetivos de aprendizaje esperados. A través del uso de metodologías ágiles, diseñamos “Mi Reforzamiento”, una plataforma sostenible financiera y socialmente que converge la demanda de niños que requieren clases de reforzamiento en matemáticas y docentes capacitados en el método de Aprendizaje Basado en Problemas (ABP). Durante el proceso de diseño, validamos distintas hipótesis de negocio con la finalidad de reducir el riesgo de nuestra solución. En primer lugar, validamos la deseabilidad del modelo de negocio, para lo cual realizamos una clase modelo de reforzamiento virtual con un docente capacitado en el método ABP; además realizamos prototipos de nuestra plataforma para medir la usabilidad de esta y validamos la disposición de pago de los padres. En segundo lugar, realizamos pruebas para validar la factibilidad de nuestra solución, a través de las cuales validamos que nuestro plan de marketing era rentable en el tiempo. En tercer lugar, realizamos pruebas sobre la viabilidad financiera del modelo de negocio a través de un análisis de sensibilidad teniendo en cuenta cinco escenarios de crecimiento. Finalmente, concluimos que Mi Reforzamiento es una solución sostenible financiera y socialmente, ya que a través de una inversión de S/418,675 soles, se logra obtener un VANF de S/3,587,263 soles equivalente a USD 885,744. Asimismo, logra un índice de relevancia social de 75% y VANS de S/2,927,053 equivalente USD 722,729 por lo que es una excelente oportunidad de inversión.This thesis presents a business model that addresses a complex and socially relevant problem. According to data from the Ministry of Education, 51% of children in the first and second grade of primary school have difficulties in achieving the expected learning objectives. Using agile methodologies, we designed “Mi Reforzamiento”, a financially and socially sustainable platform that converges the demand of children who require reinforcement classes in mathematics and teachers trained in the Problem-Based Learning (PBL) method. During the design process, we validate different business hypotheses to reduce the risk of our solution. First, we validate the desirability of the business model, for which we conducted a virtual reinforcement model class directed by a teacher trained in the PBL method; We also prototype our platform to measure its usability and validate the parents' willingness to pay. Second, we performed tests to validate the feasibility of our solution, through which we validated that our marketing plan was profitable over time. Third, we tested the financial viability of the business model through a sensitivity analysis considering five growth scenarios. Finally, we conclude that “Mi Reforzamiento” is a financially and socially sustainable solution, since through an investment of S/417,240 soles, it is possible to obtain a VANF of S/3,587,263 soles equivalent to USD 885,744. Likewise, it achieves a social relevance index of 75% and VANS of S/2,927,053 equivalent to USD 722,729, making it an excellent investment opportunity

2do Workshop Internacional de Investigación formativa en ciencias para afrontar tiempos de cambio

La presente propuesta de investigación formativa en el contexto de la didáctica de las ciencias naturales, matemáticas y tecnología, tiene el objetivo de convertirse en una estrategia didáctica que desarrollará las capacidades científicas y entrará en tensión con las competencias exigidas por el Ministerio de Educación Nacional (MEN) para la presentación de la prueba saber 11, esta misma profundizará en la búsqueda de respuestas frente al desinterés evidente por el estudio de las ciencias en estudiantes cursando ciclo V de instituciones educativas distritales. Para ello realizaremos una prueba piloto con estudiantes del ciclo V del colegio Japón IED, más específicamente con la participación de aquellos alumnos que cuenten con capacidades y aptitudes científicas para conformar y ser parte del semillero “EduQVersa Junior” del mismo colegio. Lo anterior con el fin de obtener resultados cualitativos y cuantitativos para posteriormente organizar una feria científica, ésta misma pretenderá potencializar el interés y asombro en el estudio de las ciencias por medio de proyectos basados con la metodología STEAM, para ulteriormente ser expuesto el día del campo científico, el Workshop, entre otros eventos de difusión de índole local, nacional e internacional. Con los anteriores objetivos se espera fomentar procesos investigativos iniciales en el campo de las ciencias y buscarán incentivar en general en los estudiantes de ciclo V un mayor interés y continuidad en la formación de su educación superior en el estudio de esta área, siendo una apuesta de focalización que se entrecruza con el componente académico y la consolidación del proyecto de

Libro de Proyectos Finales 2021 primer semestre

PregradoIngeniero CivilIngeniero de SistemasIngeniero ElectricistaIngeniero ElectrónicoIngeniero IndustrialIngeniero Mecánic

Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network

International audienceLiquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the technology has been used in a number of recent neutrino experiments, and is the technology of choice for the Deep Underground Neutrino Experiment (DUNE). In order to perform high precision measurements of neutrinos in the detector, final state particles need to be effectively identified, and their energy accurately reconstructed. This article proposes an algorithm based on a convolutional neural network to perform the classification of energy deposits and reconstructed particles as track-like or arising from electromagnetic cascades. Results from testing the algorithm on experimental data from ProtoDUNE-SP, a prototype of the DUNE far detector, are presented. The network identifies track- and shower-like particles, as well as Michel electrons, with high efficiency. The performance of the algorithm is consistent between experimental data and simulation

Scintillation light detection in the 6-m drift-length ProtoDUNE Dual Phase liquid argon TPC

DUNE is a dual-site experiment for long-baseline neutrino oscillation studies, neutrino astrophysics and nucleon decay searches. ProtoDUNE Dual Phase (DP) is a 6 $\times$ 6 $\times$ 6 m$^3$ liquid argon time-projection-chamber (LArTPC) that recorded cosmic-muon data at the CERN Neutrino Platform in 2019–2020 as a prototype of the DUNE Far Detector. Charged particles propagating through the LArTPC produce ionization and scintillation light. The scintillation light signal in these detectors can provide the trigger for non-beam events. In addition, it adds precise timing capabilities and improves the calorimetry measurements. In ProtoDUNE-DP, scintillation and electroluminescence light produced by cosmic muons in the LArTPC is collected by photomultiplier tubes placed up to 7 m away from the ionizing track. In this paper, the ProtoDUNE-DP photon detection system performance is evaluated with a particular focus on the different wavelength shifters, such as PEN and TPB, and the use of Xe-doped LAr, considering its future use in giant LArTPCs. The scintillation light production and propagation processes are analyzed and a comparison of simulation to data is performed, improving understanding of the liquid argon properties.DUNE is a dual-site experiment for long-baseline neutrino oscillation studies, neutrino astrophysics and nucleon decay searches. ProtoDUNE Dual Phase (DP) is a 6x6x6m3 liquid argon time-projection-chamber (LArTPC) that recorded cosmic-muon data at the CERN Neutrino Platform in 2019-2020 as a prototype of the DUNE Far Detector. Charged particles propagating through the LArTPC produce ionization and scintillation light. The scintillation light signal in these detectors can provide the trigger for non-beam events. In addition, it adds precise timing capabilities and improves the calorimetry measurements. In ProtoDUNE-DP, scintillation and electroluminescence light produced by cosmic muons in the LArTPC is collected by photomultiplier tubes placed up to 7 m away from the ionizing track. In this paper, the ProtoDUNE-DP photon detection system performance is evaluated with a particular focus on the different wavelength shifters, such as PEN and TPB, and the use of Xe-doped LAr, considering its future use in giant LArTPCs. The scintillation light production and propagation processes are analyzed and a comparison of simulation to data is performed, improving understanding of the liquid argon properties

Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network

International audienceLiquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the technology has been used in a number of recent neutrino experiments, and is the technology of choice for the Deep Underground Neutrino Experiment (DUNE). In order to perform high precision measurements of neutrinos in the detector, final state particles need to be effectively identified, and their energy accurately reconstructed. This article proposes an algorithm based on a convolutional neural network to perform the classification of energy deposits and reconstructed particles as track-like or arising from electromagnetic cascades. Results from testing the algorithm on experimental data from ProtoDUNE-SP, a prototype of the DUNE far detector, are presented. The network identifies track- and shower-like particles, as well as Michel electrons, with high efficiency. The performance of the algorithm is consistent between experimental data and simulation

DUNE Offline Computing Conceptual Design Report

International audienceThis document describes Offline Software and Computing for the Deep Underground Neutrino Experiment (DUNE) experiment, in particular, the conceptual design of the offline computing needed to accomplish its physics goals. Our emphasis in this document is the development of the computing infrastructure needed to acquire, catalog, reconstruct, simulate and analyze the data from the DUNE experiment and its prototypes. In this effort, we concentrate on developing the tools and systems thatfacilitate the development and deployment of advanced algorithms. Rather than prescribing particular algorithms, our goal is to provide resources that are flexible and accessible enough to support creative software solutions as HEP computing evolves and to provide computing that achieves the physics goals of the DUNE experiment

Highly-parallelized simulation of a pixelated LArTPC on a GPU

The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for particle physics experiments. This technique is particularly suitable for the simulation of a pixelated charge readout for time projection chambers, given the large number of channels that this technology employs. Here we present the first implementation of a full microphysical simulator of a liquid argon time projection chamber (LArTPC) equipped with light readout and pixelated charge readout, developed for the DUNE Near Detector. The software is implemented with an end-to-end set of GPU-optimized algorithms. The algorithms have been written in Python and translated into CUDA kernels using Numba, a just-in-time compiler for a subset of Python and NumPy instructions. The GPU implementation achieves a speed up of four orders of magnitude compared with the equivalent CPU version. The simulation of the current induced on $10^3$ pixels takes around 1 ms on the GPU, compared with approximately 10 s on the CPU. The results of the simulation are compared against data from a pixel-readout LArTPC prototype

DUNE Offline Computing Conceptual Design Report

This document describes Offline Software and Computing for the Deep Underground Neutrino Experiment (DUNE) experiment, in particular, the conceptual design of the offline computing needed to accomplish its physics goals. Our emphasis in this document is the development of the computing infrastructure needed to acquire, catalog, reconstruct, simulate and analyze the data from the DUNE experiment and its prototypes. In this effort, we concentrate on developing the tools and systems thatfacilitate the development and deployment of advanced algorithms. Rather than prescribing particular algorithms, our goal is to provide resources that are flexible and accessible enough to support creative software solutions as HEP computing evolves and to provide computing that achieves the physics goals of the DUNE experiment