Prática de ensino supervisionada em educação pré-escolar e ensino do 1º ciclo do ensino básico: a aprendizagem da leitura e da escrita na primeira infância (dos 3 aos 10 anos)

O presente relatório surgiu da nossa investigação e da nossa praxis tanto no contexto da Prática de Ensino Supervisionada em Educação Pré-Escolar, como em Ensino do 1º Ciclo do Ensino Básico, em instituições da cidade de Évora. O principal objetivo foi compreender a finalidade e funcionalidade atribuída pelas crianças à aprendizagem da leitura e da escrita. Neste sentido, foi construído um referencial teórico que sustentou todo o processo de investigação. Desta forma, considero fundamental, contextualizar de forma breve, os ambientes educativos e a conceção da ação educativa que regeu a minha prática. O presente relatório foi construído com base na investigação-ação, levando assim, à utilização de algumas técnicas e instrumentos de recolha de dados, de forma a atingir os objetivos propostos. Ao longo da investigação procurei promover o desenvolvimento da leitura e da escrita, por parte das crianças, no contexto educativo, bem como, promover uma exploração da língua portuguesa articulada com os diversos domínios curriculares. Os resultados que surgiram deste trabalho veem evidenciar que as crianças já apresentam diversos conhecimentos acerca do que é a leitura e a escrita, bem como a sua funcionalidade. Por outro lado, é notória a separação entre a educação pré-escolar e o 1º Ciclo do Ensino Básico, no sentido em que, no primeiro contexto, as crianças apresentam um papel central na aprendizagem, pois tudo é realizado com base nos seus interesses e necessidades, ao passo que, no segundo contexto, as atividades são planeadas para as crianças, mas elas não são participantes nesses processos. Assim, este relatório encontra-se organizado em quatro capítulos. O primeiro capítulo refere-se à fundamentação teórica que sustenta a investigação do tema. O segundo capítulo encontra-se relacionado com a conceção da ação educativa, na qual são apresentados os contextos onde desenvolvi a minha prática. No terceiro capítulo encontra-se a metodologia aplicada ao longo da PES, tendo por base a questão do educador/professor-investigador, bem como a análise, interpretação dos dados obtidos através da entrevista individual semiestruturada e respetivas conclusões. Por fim, no quarto capítulo tecerei implicações e investigações futuras acerca do estudo realizado; Supervised Teaching Practice in Pre-School Education and Teaching of the 1st Basic Education: Learning reading and writing in early childhood (from 3 to 10 years old) Abstract: This report emerged from our research and our praxis both in the context of Supervised Teaching Practice in Pre-School Education, as in teaching of the 1st Cycle of Basic Education in some institutions of the city of Évora. The main objective was to understand the purpose and function assigned by the learners to reading and writing. In this sense, a theoretical framework was created which underpinned the whole process of investigation. In this way, I consider fundamental to contextualize briefly the educational environments and the design of the educational action that conducted my practice. This report was built on the basis of research–action leading to the use of some techniques and tools for data collection in order to achieve the proposed objectives. Throughout the investigation I tried to promote the development of reading and writing by children in the educational context, as well as to promote an exploration of the Portuguese language in conjunction with the diverse curricular areas. The results that have emerged from this work prove that children have already a wide knowledge about what reading and writing are as well as its functionality. On the other hand, it is evident the separation of pre-school education from the first cycle of basic education in the sense that, in the first context, the children have a central role in learning, because everything is done based on their interests and needs, while in the second context activities are planned for the children, but they do not participate in those processes. Thus, this report is organized into four chapters. The first chapter refers to the theoretical background that supports research on the theme. The second chapter is related to the design of educational activity, which presents the contexts where I developed my practice. The third chapter presents the methodology applied along the PES based on the issue of educator/teacher-researcher, as well as the analysis, interpretation of data obtained through the individual semi-structured interview and the corresponding conclusions. Finally, in the fourth chapter I will discuss the implications and the future investigations about the study performed.

The interaction of economic and pedagogical ideals in the context of workplace learning in Germany: a framework for empirical research – inspired by business ethics

As an effect of marketisation, the importance of workplace learning in Germany has increased. The article follows up on the long-standing discourse around the question of how economic and pedagogical ideals interact in this context. In order to develop a theoretical framework for empirical research, three major positions of the discipline of business ethics are introduced. Business ethics in more abstract ways deals with the very same question, namely how do ideas such as profit orientation interact with other norms and values? The new perspectives show that the discourse has been hitherto based on a specific understanding of economy. In order to derive an empirical answer to the research question, the question is re-formulated as follows: Which values are inherent in the decisions taken? Consequently, it suggests using the concept of ‘rationalities of justification’ for empirical research. The article shows how this concept can be applied by conducting a test run. (DIPF/Orig.)

Adding Value to Manufacturing: Thirty Years of European Framework Program Activity

Part 1: Introduction

Agreement for the implementation of an IUC programme in the activity years 2012 until 2016, in the framework of the Institutional University Cooperation of VLIR between the Undersigned The flemish Interuniversity Council (VLIR), and the Universidad de Cuenca (UCUENCA) and the KU Leuven

English

Peer interaction in mixed age groups: a study in the computer area of an early childhood education center in Portugal

The study was developed as a teacher-research project during initial teacher education – Masters Degree of Early Childhood and Primary Education, in Portugal. It analysed the interactions between children of 3 to 6 years old, during the use of the computer as a free choice activity, confronting situations between peers of the same age and situations between peers of different ages. The focus of the analysis was the collaborative interactions. This was a qualitative study. Children could choose the computer, amongst other interest areas, and work for around an hour in pairs. In the computer, children used mainly educational games. During four weeks, the interactions between the pairs were audio recorded. Field notes and informal interviews to the children were also used to collect data. Eleven children were involved in the study with ages ranging from 3 to 6 years old. Baseline data on children’s basic computer proficiency was collected using the Individualized Computer Proficiency Checklist (ICPC) by Hyun. The recorded interactions were analysed using the types of talk offered by Scrimshaw and Perkins and Wegerif and Scrimshaw: cumulative talk, exploratory talk, disputational talk, and tutorial talk. This framework was already used in a study in an early childhood education context in Portugal by Amante. The results reveal differences in computer use and characterize the observed interactions. Seven different pairs of children's interactions were analysed. More than a third of the interactions were cumulative talk, followed by exploratory talk, tutorial talk and disputational talk. Comparing same and mixed age pairs, we observed that cumulative talk is the more present interaction, but in same age pairs this is followed by exploratory talk whereas in the mixed age pairs it is tutorial talk that has the second largest percentage. The pairs formed by the children were very asymmetrical in terms of age and computer proficiency. This lead to the more tutorial interactions, where one children showed the other or directed him/her on how to play. The results show that collaboration is present during the use of a computer area in early childhood education. The free choice of the children means the adults can only suggest pairing suited to specific interactions between the children. Another way to support children in more exploratory talk interactions could be by discussing the way the older children can help the younger ones beyond directing or correcting their work.

Impacto del Programa de Alimentación Escolar en el Trabajo Infantil: Una aproximación desde la toma de decisiones familiares

Esta investigación analiza el impacto del Programa de Alimentación Escolar en el trabajo infantil en Colombia a través de varias técnicas de evaluación de impacto que incluyen emparejamiento simple, emparejamiento genético y emparejamiento con reducción de sesgo. En particular, se encuentra que este programa disminuye la probabilidad de que los escolares trabajen alrededor de un 4%. Además, se explora que el trabajo infantil se reduce gracias a que el programa aumenta la seguridad alimentaria, lo que consecuentemente cambia las decisiones de los hogares y anula la carga laboral en los infantes. Son numerosos los avances en primera infancia llevados a cabo por el Estado, sin embargo, estos resultados sirven de base para construir un marco conceptual en el que se deben rescatar y promover las políticas públicas alimentarias en toda la edad escolar.

Efectos de una intervención educativa en los conocimientos y comportamientos relacionados con la fotoprotección durante la práctica de la actividad física en los estudiantes de un colegio público de Bogotá D.C., Colombia

Introducción: La incidencia del cáncer de piel melanoma y no melanoma es un problema de salud pública a nivel mundial. El incremento en la incidencia del cáncer de piel en los últimos años se debe a múltiples factores como: cambios en los estilos de vida, el envejecimiento de la población, cambios ambientales, el desconocimiento a la exposición a la radiación ultravioleta (RUV) durante la práctica de actividad física sin elementos de fotoprotección, siendo éste último reconocido como el principal factor de riesgo. Objetivo: Evaluar los efectos de una intervención educativa en los conocimientos y comportamientos relacionados con la fotoprotección durante la práctica de la actividad física en estudiantes de un colegio público de Bogotá D.C., Colombia. Métodos: Estudio de intervención, antes y después, no controlado en 281 estudiantes de los grados noveno, décimo y once de estratos 1-3 de un colegio público de Bogotá, con seguimiento a 1, 3 y 6 meses post-intervención. Se evaluaron los conocimientos y los hábitos de fotoprotección mediante un cuestionario Cancer Awareness Measure (CAM) y el modelo Transteórico de cambio comportamental de Prochaska y Di Clemente. El estudio se realizó durante el primer semestre de 2015 con 4 sesiones educativas de 60 minutos apoyadas con material audiovisual y pedagógico, acorde a la Guía para la Comunicación Educativa en el marco el control del cáncer publicada por el Instituto Nacional de Cancerología. Resultados: Del grupo de estudiantes que participaron del estudio, el 52,3% eran hombres, el promedio de edad fue de 15,46 ± 1,2 años. El tipo de piel predominante fue la trigueña con 65,8%. La intervención educativa produjo cambios significativos en los conocimientos de foto protección, finalizado el seguimiento al sexto mes. En cuanto a la prevención los estudiantes refirieron tener conocimiento de cómo examinar su piel en el momento basal (12,5% n=35), presentándose un aumento significativo de 62,6% (n=211) al sexto mes (p<0,05). Conclusión: El estudio demostró la efectividad de la intervención educativa, evidenciando cambios significativos en los conocimientos en fotoprotección y comportamientos preventivos del cáncer de piel durante la práctica de la actividad física en estudiantes de un colegio público de Bogotá D.C., Colombia.

Machine learning per l'idrologia: applicazione del metodo random forests per la previsione degli eventi di piena fluviale con un approccio probabilistico

Le tecniche di Machine Learning sono molto utili in quanto consento di massimizzare l’utilizzo delle informazioni in tempo reale. Il metodo Random Forests può essere annoverato tra le tecniche di Machine Learning più recenti e performanti. Sfruttando le caratteristiche e le potenzialità di questo metodo, la presente tesi di dottorato affronta due casi di studio differenti; grazie ai quali è stato possibile elaborare due differenti modelli previsionali. Il primo caso di studio si è incentrato sui principali fiumi della regione Emilia-Romagna, caratterizzati da tempi di risposta molto brevi. La scelta di questi fiumi non è stata casuale: negli ultimi anni, infatti, in detti bacini si sono verificati diversi eventi di piena, in gran parte di tipo “flash flood”. Il secondo caso di studio riguarda le sezioni principali del fiume Po, dove il tempo di propagazione dell’onda di piena è maggiore rispetto ai corsi d’acqua del primo caso di studio analizzato. Partendo da una grande quantità di dati, il primo passo è stato selezionare e definire i dati in ingresso in funzione degli obiettivi da raggiungere, per entrambi i casi studio. Per l’elaborazione del modello relativo ai fiumi dell’Emilia-Romagna, sono stati presi in considerazione esclusivamente i dati osservati; a differenza del bacino del fiume Po in cui ai dati osservati sono stati affiancati anche i dati di previsione provenienti dalla catena modellistica Mike11 NAM/HD. Sfruttando una delle principali caratteristiche del metodo Random Forests, è stata stimata una probabilità di accadimento: questo aspetto è fondamentale sia nella fase tecnica che in fase decisionale per qualsiasi attività di intervento di protezione civile. L'elaborazione dei dati e i dati sviluppati sono stati effettuati in ambiente R. Al termine della fase di validazione, gli incoraggianti risultati ottenuti hanno permesso di inserire il modello sviluppato nel primo caso studio all’interno dell’architettura operativa di FEWS.

Association for Learning Technology Annual Survey 2017 Data and Report

This is the fourth Association for Learning Technology (ALT) Annual Survey. As with previous years, the survey was advertised predominately to ALT Members but at the same time promoted publically, and responses were collected between December 2017 and January 2018. The ALT Annual Survey contains a common core of questions asked in all annual surveys. This year the survey was supplemented with additional questions specifically aimed at gaining feedback for Certified Member of ALT (CMALT) framework and to identify other priorities 2018.

Machine learning as a service for high energy physics (MLaaS4HEP): a service for ML-based data analyses

With the CERN LHC program underway, there has been an acceleration of data growth in the High Energy Physics (HEP) field and the usage of Machine Learning (ML) in HEP will be critical during the HL-LHC program when the data that will be produced will reach the exascale. ML techniques have been successfully used in many areas of HEP nevertheless, the development of a ML project and its implementation for production use is a highly time-consuming task and requires specific skills. Complicating this scenario is the fact that HEP data is stored in ROOT data format, which is mostly unknown outside of the HEP community. The work presented in this thesis is focused on the development of a ML as a Service (MLaaS) solution for HEP, aiming to provide a cloud service that allows HEP users to run ML pipelines via HTTP calls. These pipelines are executed by using the MLaaS4HEP framework, which allows reading data, processing data, and training ML models directly using ROOT files of arbitrary size from local or distributed data sources. Such a solution provides HEP users non-expert in ML with a tool that allows them to apply ML techniques in their analyses in a streamlined manner. Over the years the MLaaS4HEP framework has been developed, validated, and tested and new features have been added. A first MLaaS solution has been developed by automatizing the deployment of a platform equipped with the MLaaS4HEP framework. Then, a service with APIs has been developed, so that a user after being authenticated and authorized can submit MLaaS4HEP workflows producing trained ML models ready for the inference phase. A working prototype of this service is currently running on a virtual machine of INFN-Cloud and is compliant to be added to the INFN Cloud portfolio of services.

Dynamic Human Robot Interaction Framework Using Deep Learning and Robot Operating System (ROS): a practical approach

Trying to explain to a robot what to do is a difficult undertaking, and only specific types of people have been able to do so far, such as programmers or operators who have learned how to use controllers to communicate with a robot. My internship's goal was to create and develop a framework that would make that easier. The system uses deep learning techniques to recognize a set of hand gestures, both static and dynamic. Then, based on the gesture, it sends a command to a robot. To be as generic as feasible, the communication is implemented using Robot Operating System (ROS). Furthermore, users can add new recognizable gestures and link them to new robot actions; a finite state automaton enforces the users' input verification and correct action sequence. Finally, the users can create and utilize a macro to describe a sequence of actions performable by a robot.

Meta-learning for informed model searches in Automated Machine Learning

Day by day, machine learning is changing our lives in ways we could not have imagined just 5 years ago. ML expertise is more and more requested and needed, though just a limited number of ML engineers are available on the job market, and their knowledge is always limited by an inherent characteristic of theirs: they are humans. This thesis explores the possibilities offered by meta-learning, a new field in ML that takes learning a level higher: models are trained on other models' training data, starting from features of the dataset they were trained on, inference times, obtained performances, to try to understand the relationship between a good model and the way it was obtained. The so-called metamodel was trained on data collected by OpenML, the largest ML metadata platform that's publicly available today. Datasets were analyzed to obtain meta-features that describe them, which were then tied to model performances in a regression task. The obtained metamodel predicts the expected performances of a given model type (e.g., a random forest) on a given ML task (e.g., classification on the UCI census dataset). This research was then integrated into a custom-made AutoML framework, to show how meta-learning is not an end in itself, but it can be used to further progress our ML research. Encoding ML engineering expertise in a model allows better, faster, and more impactful ML applications across the whole world, while reducing the cost that is inevitably tied to human engineers.

[factors Impacting The Growth And Nutritional Status Of Cystic Fibrosis Patients Younger Than 10 Years Of Age Who Did Not Undergo Neonatal Screening.]

The aim of this study was to evaluate by clinical and laboratory parameters how cystic fibrosis (CF) affects growth and nutritional status of children who were undergoing CF treatment but did not receive newborn screening. A historical cohort study of 52 CF patients younger than 10 years of age were followed in a reference center in Campinas, Southeast Brazil. Anthropometric measurements were abstracted from medical records until March/2010, when neonatal screening program was implemented. Between September/2009 and March/2010, parental height of the 52 CF patients were also measured. Regarding nutritional status, four patients had Z-scores ≤ -2 for height/age (H/A) and body mass index/age (BMI/A). The following variables were associated with improved H/A ratio: fewer hospitalizations, longer time from first appointment to diagnosis, longer time from birth to diagnosis and later onset of respiratory disease. Forced vital capacity [FVC(%)], forced expiratory flow between 25-75% of FVC [FEF25-75(%)], forced expiratory volume in the first second [FEV1(%)], gestational age, birth weight and early respiratory symptoms were associated with IMC/A. Greater number of hospitalizations, diagnosis delay and early onset of respiratory disease had a negative impact on growth. Lower spirometric values, lower gestational age, lower birth weight, and early onset of respiratory symptoms had negative impact on nutritional status. Malnutrition was observed in 7.7% of cases, but 23% of children had nutritional risk.

Prospects For Early Investigational Therapies For Sickle Cell Disease.

Sickle cell disease (SCD) is a genetic disorder characterized by the production of abnormal hemoglobin that polymerizes at low oxygen concentrations, causing the erythrocyte to adopt a sickle-shaped morphology. SCD pathophysiology is extremely complex and can lead to numerous clinical complications, including painful vaso-occlusive crises (VOC), end-organ damage, and a shortened lifespan. An impressive number of investigational drugs are currently in early stages of clinical development with prospects for use either as chronic therapies to reduce VOC frequency and end-organ damage in SCD or for use at the time of VOC onset. Many of these agents have been developed using a pathophysiological-based approach to SCD, targeting one or more of the mechanisms that contribute to the disease process. It is plausible that a multi-drug approach to treating the disease will evolve in the coming years, whereby hydroxyurea (HU) (the only drug currently FDA-approved for SCD) is used in combination with drugs that amplify nitric oxide signaling and/or counteract hemolytic effects, platelet activation and inflammation.