Aprendizaje basado en problemas, ABP : una propuesta para transformar la enseñanza-aprendizaje de las aplicaciones de la trigonometría en la solución de triángulos en el grado 10º

El estudio tuvo como propósito determinar la efectividad relativa del ABP, comparado con el método tradicional para desarrollar habilidades de resolución de problemas en el aprendizaje de las aplicaciones de la solución de triángulos en el grado 10º de la Institución Educativa El Progreso, de El Carmen de Viboral, Antioquia. La enseñanza-aprendizaje de las matemáticas sustentadas con la estrategia didáctica Aprendizaje Basado en Problemas permite a los estudiantes y docentes aproximarse al conocimiento de una manera similar a como lo hacen los científicos; el primer paso es una situación de duda, perplejidad del estudiante provocada por la Situación Problema planteada por el docente, el segundo un momento de “sugerencias” en las que la mente salta hacia adelante en busca de una posible solución (Dewey, 1933, p. 102). El tercer paso “intelectualización” de la dificultad que se ha percibido para convertirlo en un problema que debe solucionarse (Dewey, 1933, p. 103). La cuarta es “la idea conductora o hipótesis”, las cuales se basan en la formulación de explicaciones sugeridas o soluciones posibles (Dewey, 1933, p. 104). El quinto paso sería el “razonamiento”, consiste en la elaboración racional de una idea que se va desarrollando de acuerdo a las habilidades de cada persona (Dewey, 1933, p. 105). El paso final es la “comprobación de hipótesis” en situaciones reales. Este proceso se evidenció a través de cuatro Situaciones-Problema enfocadas desde un contexto auténtico “la remodelación del parque principal de El Carmen de Viboral” con el objetivo de motivar a los estudiantes para el aprendizaje de algunos conceptos matemáticos y el desarrollo de habilidades de resolución de problemas. La metodología de la investigación fue un diseño cuasi-experimental con grupo experimental compuesto por 38 estudiantes del grado 10º2 y grupo control con 37 estudiantes del grado 10º1. Se empleó como técnica de recolección de la información una prueba pre-test antes del tratamiento y una prueba post-test que se aplicó después del tratamiento a ambos grupos; se aplicó también una escala de satisfacción de los estudiantes con la metodología tradicional en ambos grupos y una escala de satisfacción con la estrategia didáctica ABP sólo al grupo experimental; la observación directa, y el portafolio que evidenciaba todas las construcciones de los estudiantes. La aplicación de la estrategia didáctica experimental se aplicó durante 4 meses, con una intensidad horaria de cuatro horas semanales, tiempo durante el cual se implementaron las cuatro Situaciones-Problema. Se concluyó entre otros aspectos que el 86,5% de los estudiantes encuentran las clases de matemáticas como interesantes, contextualizadas, aplicables y significativas, mientras que antes del tratamiento sólo el 44,4% se encontraba satisfecho con las clases de matemáticas, con una diferencia en cambio de actitud de 42,1% frente a las clases de matemáticas con la metodología tradicional. En el análisis comparativo de adquisición de competencias específicas se demuestra que el grupo experimental demostró ser matemáticamente más competente con respecto al grupo control en todas las competencias evaluadas: capacidad de modelación, inductiva, comunicativa y habilidad procedimental. Además, el proyecto de investigación tuvo un valor agregado: 10 estudiantes tuvieron la oportunidad de conocer más sobre su cultura ceramista mediante el diseño y construcción de mosaicos que los ofreció la casa de la cultura en forma gratuita.

A coupled movement and bioenergetics model to explore the spawning migration of anchovy in the Bay of Biscay

Adult anchovies in the Bay of Biscay perform north to south migration from late winter to early summer for spawning. However, what triggers and drives the geographic shift of the population remains unclear and poorly understood. An individual-based fish model has been implemented to explore the potential mechanisms that control anchovy's movement routes toward its spawning habitats. To achieve this goal, two fish movement behaviors – gradient detection through restricted area search and kinesis – simulated fish response to its dynamic environment. A bioenergetics model was used to represent individual growth and reproduction along the fish trajectory. The environmental forcing (food, temperature) of the model was provided by a coupled physical–biogeochemical model. We followed a hypothesis-testing strategy to actualize a series of simulations using different cues and computational assumptions. The gradient detection behavior was found as the most suitable mechanism to recreate the observed shift of anchovy distribution under the combined effect of sea-surface temperature and zooplankton. In addition, our results suggested that southward movement occurred more actively from early April to middle May following favorably the spatio-temporal evolution of zooplankton and temperature. In terms of fish bioenergetics, individuals who ended up in the southern part of the bay presented better condition based on energy content, proposing the resulting energy gain as an ecological explanation for this migration. The kinesis approach resulted in a moderate performance, producing distribution pattern with the highest spread. Finally, model performance was not significantly affected by changes on the starting date, initial fish distribution and number of particles used in the simulations, whereas it was drastically influenced by the adopted cues.

Precoder Detection for Cooperative Decode-and-Forward Relaying in OFDMA Systems

We consider an LTE network where a secondary user acts as a relay, transmitting data to the primary user using a decode-and-forward mechanism, transparent to the base-station (eNodeB). Clearly, the relay can decode symbols more reliably if the employed precoder matrix indicators (PMIs) are known. However, for closed loop spatial multiplexing (CLSM) transmit mode, this information is not always embedded in the downlink signal, leading to a need for effective methods to determine the PMI. In this thesis, we consider 2x2 MIMO and 4x4 MIMO downlink channels corresponding to CLSM and formulate two techniques to estimate the PMI at the relay using a hypothesis testing framework. We evaluate their performance via simulations for various ITU channel models over a range of SNR and for different channel quality indicators (CQIs). We compare them to the case when the true PMI is known at the relay and show that the performance of the proposed schemes are within 2 dB at 10% block error rate (BLER) in almost all scenarios. Furthermore, the techniques add minimal computational overhead over existent receiver structure. Finally, we also identify scenarios when using the proposed precoder detection algorithms in conjunction with the cooperative decode-and-forward relaying mechanism benefits the PUE and improves the BLER performance for the PUE. Therefore, we conclude from this that the proposed algorithms as well as the cooperative relaying mechanism at the CMR can be gainfully employed in a variety of real-life scenarios in LTE networks.

The Virtual International Stroke Trials Archive

Background and Purpose - Stroke has global importance and it causes an increasing amount of human suffering and economic burden, but its management is far from optimal. The unsuccessful outcome of several research programs highlights the need for reliable data on which to plan future clinical trials. The Virtual International Stroke Trials Archive aims to aid the planning of clinical trials by collating and providing access to a rich resource of patient data to perform exploratory analyses. Methods - Data were contributed by the principal investigators of numerous trials from the past 16 years. These data have been centrally collated and are available for anonymized analysis and hypothesis testing. Results - ”Currently, the Virtual International Stroke Trials Archive contains 21 trials. There are data on 15 000 patients with both ischemic and hemorrhagic stroke. Ages range between 18 and 103 years, with a mean age of 6912 years. Outcome measures include the Barthel Index, Scandinavian Stroke Scale, National Institutes of Health Stroke Scale, Orgogozo Scale, and modified Rankin Scale. Medical history and onset-to-treatment time are readily available, and computed tomography lesion data are available for selected trials. Conclusions - This resource has the potential to influence clinical trial design and implementation through data analyses that inform planning. (Stroke. 2007;38:1905-1910.)

A Visual Analytics Approach to Comparing Cohorts of Event Sequences

Sequences of timestamped events are currently being generated across nearly every domain of data analytics, from e-commerce web logging to electronic health records used by doctors and medical researchers. Every day, this data type is reviewed by humans who apply statistical tests, hoping to learn everything they can about how these processes work, why they break, and how they can be improved upon. To further uncover how these processes work the way they do, researchers often compare two groups, or cohorts, of event sequences to find the differences and similarities between outcomes and processes. With temporal event sequence data, this task is complex because of the variety of ways single events and sequences of events can differ between the two cohorts of records: the structure of the event sequences (e.g., event order, co-occurring events, or frequencies of events), the attributes about the events and records (e.g., gender of a patient), or metrics about the timestamps themselves (e.g., duration of an event). Running statistical tests to cover all these cases and determining which results are significant becomes cumbersome. Current visual analytics tools for comparing groups of event sequences emphasize a purely statistical or purely visual approach for comparison. Visual analytics tools leverage humans' ability to easily see patterns and anomalies that they were not expecting, but is limited by uncertainty in findings. Statistical tools emphasize finding significant differences in the data, but often requires researchers have a concrete question and doesn't facilitate more general exploration of the data. Combining visual analytics tools with statistical methods leverages the benefits of both approaches for quicker and easier insight discovery. Integrating statistics into a visualization tool presents many challenges on the frontend (e.g., displaying the results of many different metrics concisely) and in the backend (e.g., scalability challenges with running various metrics on multi-dimensional data at once). I begin by exploring the problem of comparing cohorts of event sequences and understanding the questions that analysts commonly ask in this task. From there, I demonstrate that combining automated statistics with an interactive user interface amplifies the benefits of both types of tools, thereby enabling analysts to conduct quicker and easier data exploration, hypothesis generation, and insight discovery. The direct contributions of this dissertation are: (1) a taxonomy of metrics for comparing cohorts of temporal event sequences, (2) a statistical framework for exploratory data analysis with a method I refer to as high-volume hypothesis testing (HVHT), (3) a family of visualizations and guidelines for interaction techniques that are useful for understanding and parsing the results, and (4) a user study, five long-term case studies, and five short-term case studies which demonstrate the utility and impact of these methods in various domains: four in the medical domain, one in web log analysis, two in education, and one each in social networks, sports analytics, and security. My dissertation contributes an understanding of how cohorts of temporal event sequences are commonly compared and the difficulties associated with applying and parsing the results of these metrics. It also contributes a set of visualizations, algorithms, and design guidelines for balancing automated statistics with user-driven analysis to guide users to significant, distinguishing features between cohorts. This work opens avenues for future research in comparing two or more groups of temporal event sequences, opening traditional machine learning and data mining techniques to user interaction, and extending the principles found in this dissertation to data types beyond temporal event sequences.

Using the Scharff-technique to elicit information: how to effectively establish the “illusion of knowing it all”?

The Scharff-technique is used for eliciting information from human sources. At the very core of the technique is the “illusion of knowing it all” tactic, which aims to inflate a source's perception of how much knowledge an interviewer holds about the event to be discussed. For the current study, we mapped the effects following two different ways of introducing this particular tactic; a traditional way of implementation where the interviewer explicitly states that s/he already knows most of the important information (the traditional condition), and a new way of implementation where the interviewer just starts to present the information that s/he holds (the just start condition). The two versions were compared in two separate experiments. In Experiment 1 (N = 60), we measured the participants’ perceptions of the interviewer's knowledge, and in Experiment 2 (N = 60), the participants’ perceptions of the interviewer's knowledge gaps. We found that participants in the just start condition (a) believed the interviewer had more knowledge (Experiment 1), and (b) searched less actively for gaps in the interviewer's knowledge (Experiment 2), compared to the traditional condition. We will discuss the current findings and how sources test and perceive the knowledge his or her interviewer possesses within a framework of social hypothesis testing.

Comparison of the eficacy and safety of 4 mg of ondansetron vs. 4 mg of nalbuphine for the treatment of neuraxial morphineinduced pruritus

Objective: To compare the eficacy and safety of 4 mg of ondansetron vs. 4 mg of nalbuphine for the treatment of neuraxial morphine-induced pruritus, in patients at the “Dr. José Eleuterio González” University Hospital from September 2012 to August 2013. Material and methods: A controlled, prospective, randomized study of 28 patients (14 per group) receiving neuraxial morphine analgesia was conducted, which was registered and approved by the ethics Committee of the Institution and patients agreed to participate in the study under informed consent. The results were segmented and contrasted (according to drug) by hypothesis testing; the association was determined by X2 with a 95% conidence interval (CI). Results: Pruritus was effectively resolved in both groups and no signiicant difference was found in the rest of the variables. An increase in the visual analogue scale (eVA) was observed at 6 and 12 hours for the ondansetron group, which was statistically signiicant (p≤0.05), however both groups had an eVA of less than 3. Conclusions: When comparing the eficacy and safety of ondansetron 4 mg vs. nalbuphine 4 mg for the treatment of neuraxial morphine induced pruritus, the only signiicant difference found was the mean eVA at 6 and 12 hours, favoring the ondansetron group. However, both groups scored less than 3 on the eVA. Therefore, we consider that both treatments are effective and safe in the treatment of pruritus caused by neuraxial morphine.

A Formação de Oficiais de Administração: Especificidades, Oportunidades e Contingências na senda de uma Carreira Profissional

Face ao paradigma atual onde são constantemente impostas às entidades públicas medidas para a racionalização de recursos, os Estabelecimentos de Ensino Superior Público Universitário Militar não são exceção tornando-se cada vez mais premente a aposta numa gestão eficiente e eficaz. Neste âmbito, a Contabilidade Analítica assume de forma crescente um papel dominante na análise e controlo dos custos por atividade. O presente Trabalho de Investigação Aplicada encontra-se subordinado ao tema “A Formação de Oficiais de Administração: Oportunidades, Especificidades e Contingências na senda de uma Carreira Profissional”. Assim, o objetivo geral do presente trabalho passa pelo cálculo do custos de formação dos alunos de Administração dos três ramos das Forças Armadas e desta forma, optar pelo modelo mais rentável economicamente. Para o cálculo do custo, de entre as inúmeras opções existentes relativamente a sistemas de custeio, baseámo-nos no método das Secções Homogéneas ou Centros de Custos. A estrutura do trabalho pode ser dividida em duas partes, a primeira de cariz teórico e a segunda uma vertente prática. A metodologia adotada teve como referência o método de investigação em Ciência Sociais, isto é, partindo de uma pergunta central de investigação, que origina perguntas derivadas, procuram-se respostas através da formulação, exploração e teste de hipóteses. De acordo com os resultados do presente estudo podemos verificar que é o modelo de formação utilizada na Academia Militar o mais rentável economicamente. Desta forma, dadas as evidentes afinidades científicas existentes entre os cursos seria pertinente uma reconfiguração da estrutura científica, durações e do perfil formativo dos diferentes cursos. Assim, uma reorganização que elimine redundâncias e promova a partilha de recursos possibilitará ganhos de eficiência na gestão e consequentemente redução de custos.

Using a discussion about scientific controversy to teach central concepts in experimental design

Students may need explicit training in informal statistical reasoning in order to design experiments or use formal statistical tests effectively. By using scientific scandals and media misinterpretation, we can explore the need for good experimental design in an informal way. This article describes the use of a paper that reviews the measles mumps rubella vaccine and autism controversy in the UK to illustrate a number of threshold concepts underlying good study design and interpretation of scientific evidence. These include the necessity of sufficient sample size, representative and random sampling, appropriate controls and inferring causation.

Testing the beneficial acclimation hypothesis

Recent developments in evolutionary physiology have seen many of the long-held assumptions within comparative physiology receive rigorous experimental analysis. Studies of the adaptive significance of physiological acclimation exemplify this new evolutionary approach. The beneficial acclimation hypothesis (BAH) was proposed to describe the assumption that all acclimation changes enhance the physiological performance or fitness of an individual organism. To the surprise of most physiologists, all empirical examinations of the BAH have rejected its generality. However, we suggest that these examinations are neither direct nor complete tests of the functional benefit of acclimation. We consider them to be elegant analyses of the adaptive significance of developmental plasticity, a type of phenotypic plasticity that is very different from the traditional concept of acclimation that is used by comparative physiologists.

UN Security Council decision-making: testing the bribery hypothesis

Liberal-Institutionalism and Structural Realism expectations about international organizations are confronted by looking at if and how US-controlled international aid is granted, and particularly if it is related or not to political affinity and to United Nations Security Council (UNSC) non-permanent membership. A preliminary assessment suggests that these relations only hold for the period of the Cold War, and, even then, only when UNSC non-permanent membership is in years in which the Security Council was deemed very important.

Chagas disease as a mechanistic model for testing a novel hypothesis

The association between depression and cardiovascular disease is well documented. Nevertheless, the process through which they are linked remains unknown, as does the direction of this relationship. Studies have suggested both that depression is a risk factor for heart disease and that heart disease is a risk factor for depression. A number of studies have established that a relationship exists between depression and inflammation, with alterations in the levels of inflammatory markers (IL-1, IL-6, TNF-alpha and others). Depressive symptoms have also been identified in many diseases characterized by inflammatory processes e.g. rheumatoid arthritis, bronchial asthma, diabetes, tuberculosis and cardiovascular diseases. In this brief viewpoint, we explain and propose how to use Chagas disease, a disorder characterized by inflammatory processes and leading to cardiovascular and autonomic problems, as a model for studying the directionality of the relationship between heart disease and depression.