Técnicas de minería de datos en el sistema de gestión de aprendizaje Moodle

Universidad Nacional Agraria La Molina. Escuela de Posgrado. Maestría en Estadística AplicadaLos procesos de enseñanza y aprendizaje impartidos en los ambientes educativos tradicionales han cambiado drásticamente, debido principalmente por la incorporación de los llamados sistemas de gestión de aprendizaje (SGA). La plataforma Moodle es el SGA más utilizado en las instituciones de educación superior, no sólo por ser de licencia libre, sino por que proporcionan un conjunto de recursos y actividades pedagógicas (tareas, lecciones, cuestionarios, foros, chat, glosarios, etc.) que permiten a los profesores diseñar ambientes educativos más interactivos y eficientes a los estudiantes. La gran cantidad de datos que se generan en estos ambientes educativos, ofrecen la oportunidad de ser explotados con las técnicas de minería de datos (TMD) con la finalidad de extraer conocimientos útiles y relevantes; así como, patrones y perfiles del comportamiento, predecir el rendimiento, hacer más efectivo la retroalimentación y recomendaciones a los estudiantes que interactúan con Moodle. El objetivo de esta tesis, es presentar una metodología para aplicar las TMD en la plataforma Moodle. En la aplicación 1, el árbol de clasificación y la regresión logística resultaron buenos clasificadores para predecir el rendimiento de los estudiantes del curso de Estadística con el 97.4% y 96.9% de correcta clasificación respectivamente. En la aplicación 2, el J48 obtuvo un 90.1% de buena clasificación y el algoritmo k-medias permitió agrupar a los estudiantes según el uso e interacción con Moodle en tres clúster.The teaching and learning processes taught in traditional educational environments have changed drastically, mainly due to the incorporation of the called Learning Management Systems (SGA). The Moodle platform is the most used EMS in higher education institutions, not only because it is a free license, but also because it provides a set of resources and pedagogical activities (tasks, lessons, questionnaires, forums, chat, glossaries, etc.) Which allow teachers to design more interactive and efficient educational environments for students. The large amount of data generated in these educational environments offers the opportunity to be exploited with data mining techniques in order to extract useful and relevant knowledge; As well as patterns and behavioral profiles, predict performance, make feedback more effective and recommendations to students interacting with Moodle. The aim of this thesis is to present a methodology to apply the TMD in the Moodle platform. In application 1, the classification tree and logistic regression were good classifiers to predict the performance of students in the Statistics course with 97.4% and 96.9% of correct classification, respectively. In application 2, the J48 obtained a 90.1% of good classification and the k-means algorithm allowed to group the students according to the use and interaction with Moodle in three cluster.Tesi

Large carnivore attacks on hominins during the Pleistocene: a forensic approach with a Neanderthal example

Interaction between hominins and carnivores has been common and constant through human evolution and generated mutual pressures similar to those present in worldwide modern human-carnivore conflicts. This current interaction is sometimes violent and can be reflected in permanent skeletal pathologies and other bone modifications. In the present paper, we carry out a survey of 124 forensic cases of dangerous human-carnivore encounters. The objective is to infer direct hominin-carnivore confrontation during the Pleistocene, which is important to understand behavioral changes during human evolution. In addition, the case of Neanderthals is analyzed in order to find evidence of past attacks using forensic observations. The results obtained pose that Neanderthals could potentially have been involved in dangerous encounters during the Pleistocene, validating our methodology to approach past attacks from a forensic perspective

越前(武生)近代人物関係史料の研究

Descripción: El curso comprende el estudio de los métodos básicos más utilizados de la estadística inferencial que constituyen herramientas muy útiles para la toma de decisiones y como base para otras disciplinas para el mismo fin que se estudiarán a lo largo de la carrera.Propósito:Curso general de carácter teórico-práctico dirigido a estudiantes de quinto ciclo de las carreras Economía Gerencial Economía y Finanzas y Economía y Negocios Internacionales de la Facultad de Economía que busca desarrollar las competencias generales de Razonamiento Cuantitativo en el nivel 2

Chemoradiation as a definitive treatment for primary unknown cervical lymph node metastases

横浜市立大学2013年

A Cryogenic Silicon Interferometer for Gravitational-wave Detection

The detection of gravitational waves from compact binary mergers by LIGO has opened the era of gravitational wave astronomy, revealing a previously hidden side of the cosmos. To maximize the reach of the existing LIGO observatory facilities, we have designed a new instrument able to detect gravitational waves at distances 5 times further away than possible with Advanced LIGO, or at greater than 100 times the event rate. Observations with this new instrument will make possible dramatic steps toward understanding the physics of the nearby Universe, as well as observing the Universe out to cosmological distances by the detection of binary black hole coalescences. This article presents the instrument design and a quantitative analysis of the anticipated noise floor

A Cryogenic Silicon Interferometer for Gravitational-wave Detection

The detection of gravitational waves from compact binary mergers by LIGO has opened the era of gravitational wave astronomy, revealing a previously hidden side of the cosmos. To maximize the reach of the existing LIGO observatory facilities, we have designed a new instrument that will have 5 times the range of Advanced LIGO, or greater than 100 times the event rate. Observations with this new instrument will make possible dramatic steps toward understanding the physics of the nearby universe, as well as observing the universe out to cosmological distances by the detection of binary black hole coalescences. This article presents the instrument design and a quantitative analysis of the anticipated noise floor

Infected pancreatic necrosis: outcomes and clinical predictors of mortality. A post hoc analysis of the MANCTRA-1 international study

: The identification of high-risk patients in the early stages of infected pancreatic necrosis (IPN) is critical, because it could help the clinicians to adopt more effective management strategies. We conducted a post hoc analysis of the MANCTRA-1 international study to assess the association between clinical risk factors and mortality among adult patients with IPN. Univariable and multivariable logistic regression models were used to identify prognostic factors of mortality. We identified 247 consecutive patients with IPN hospitalised between January 2019 and December 2020. History of uncontrolled arterial hypertension (p = 0.032; 95% CI 1.135-15.882; aOR 4.245), qSOFA (p = 0.005; 95% CI 1.359-5.879; aOR 2.828), renal failure (p = 0.022; 95% CI 1.138-5.442; aOR 2.489), and haemodynamic failure (p = 0.018; 95% CI 1.184-5.978; aOR 2.661), were identified as independent predictors of mortality in IPN patients. Cholangitis (p = 0.003; 95% CI 1.598-9.930; aOR 3.983), abdominal compartment syndrome (p = 0.032; 95% CI 1.090-6.967; aOR 2.735), and gastrointestinal/intra-abdominal bleeding (p = 0.009; 95% CI 1.286-5.712; aOR 2.710) were independently associated with the risk of mortality. Upfront open surgical necrosectomy was strongly associated with the risk of mortality (p < 0.001; 95% CI 1.912-7.442; aOR 3.772), whereas endoscopic drainage of pancreatic necrosis (p = 0.018; 95% CI 0.138-0.834; aOR 0.339) and enteral nutrition (p = 0.003; 95% CI 0.143-0.716; aOR 0.320) were found as protective factors. Organ failure, acute cholangitis, and upfront open surgical necrosectomy were the most significant predictors of mortality. Our study confirmed that, even in a subgroup of particularly ill patients such as those with IPN, upfront open surgery should be avoided as much as possible. Study protocol registered in ClinicalTrials.Gov (I.D. Number NCT04747990)